Snowflakeemplois

...pour la réalisation du projet. ​ Architecture & Stack ​Application Mobile (B2C) : Développement Cross-Platform (Flutter ou React Native) pour iOS/Android. ​Plateforme Web (B2B) : Application Web React.js ou Vue.js avec tableau de bord analytique. ​Backend & Data : Python (Django/FastAPI) pour la logique algorithmique. ​Base de Données : Architecture type "Data Warehouse" (PostgreSQL + BigQuery/Snowflake) capable de gérer des millions de lignes de transactions. ​ Fonctionnalités Critiques à Développer ​Le Pipeline ETL (Extract-Transform-Load) : ​ Script automatique qui nettoie et anonymise la donnée brute de l'App B2C vers le Data Warehouse B2B. Impératif : Suppression irréversible des nom...

...deployed within a container. Data cleaning and validation techniques must be applied before integration. Once the data is ingested into the database, a final script is executed to perform SQL queries, join the datasets, and expose the results as database views. Database modeling: propose a clear and coherent relational schema, adapted to business needs or the imagined use cases (star schema, snowflake schema, normalization, etc.)....

Bonjour, je suis Batdeleg de Business & Decision Lyon. Nous recherchons actuellement un profil Informatica expérimenté avec une expérience de 3-4 ans minimum sur Informatica Cloud et sur Informatica Powercenter (version 9 à 10). Vous serez dans un environnement international donc un anglais fluent est primordial. Des connaissances d'AWS et Snowflake seront un plus. Si cette opportunité vous intéresse, n'hésitez pas à m'envoyer votre CV en anglais, je ne manquerai pas à le transmettre au responsable de centre de service. Si votre profil correspond à la demande, un entretien de 45min à 1h sera programmé avec lui, tout le contenu de la mission vous sera présenté et vo...

What You'll Do Design, train, and deploy machine learning models for real-world applications (NLP, computer vision, forecasting, or recommendation system...structures, algorithms, and software engineering best practices. Familiarity with containerization (Docker, Kubernetes) and CI/CD for ML workflows. Excellent communication skills and ability to explain technical concepts to non-technical stakeholders. Preferred (Nice-to-Have): Experience with LLMs, RAG pipelines, or generative AI applications. Background in data engineering: Spark, Kafka, dbt, Snowflake, or BigQuery. Contributions to open-source ML projects or published research. Startup experience or interest in building products from 0→1. Knowledge of model monitoring tools (Evidently, WhyLabs, Arize) or feature store...

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...with extracting a small, publicly available sample data set (CSV, JSON, or a simple relational dump), then cleaning and transforming it—deduplicating records, resolving missing or inconsistent values, and normalising key fields where needed. Once the data is tidy, it has to be loaded twice: first into a staging target (a plain relational table or file storage) and then into a basic star- or snowflake-style data-warehouse schema so I can run simple analytical queries afterward. I will need the full project files, transformation jobs, and a concise write-up that walks through each step, explains the design decisions, and shows the final row counts before and after every major operation. Screenshots or log excerpts that prove the pipeline runs end-to-end are essential. A...

...and optimize data models for analytics and reporting Work with cloud data platforms (AWS, Azure, or GCP) Implement data validation, quality checks, and monitoring Build dashboards and actionable insights using BI tools Collaborate on performance tuning and data architecture improvements - Required Skills Strong experience with SQL and Python Expertise in modern data stack tools (e.g., Snowflake, BigQuery, Redshift, Databricks) Hands-on experience with orchestration tools (Airflow or similar) Experience with dbt or data transformation frameworks Knowledge of cloud platforms (AWS/Azure/GCP) Strong analytical thinking and problem-solving skills - Nice to Have Experience with real-time data processing (Kafka, streaming frameworks) Experience with machine learning pipeli...

We are looking for experienced Data Analysts, Data Engineers, or BI Analysts to test and complete an onboarding flow for our new data platform. The goal is to generate a functional "context layer" using your own live data environment. The Task 1. Onboard: Connect your own Data Warehouse (Snowflake, BigQuery, Redshift, etc.). 2. Model: Go through a short modeling flow to create a context layer for your tables. 3. Stress-Test: Ask 30 natural language questions based on your data (e.g., "What was the YoY growth for [Product X] in Q3?"). 4. Validate: Provide feedback on whether the platform answered correctly. If it failed, you will identify why (e.g., wrong join, misunderstood metric, or schema ambiguity). Requirements (Strict) - Active DWH Access: You must have a...

I’m preparing for the Databricks Data Analyst and Data Engineer certifications and want a structured, hands-on tutoring program that also deepens my Snowflake skills. The goal is to become confident building end-to-end data pipelines, running analytics, and understanding platform architecture well enough to pass the exams and perform the work in practice. Focus areas Databricks • Data processing & analytics with PySpark/SQL and Delta Lake • Machine learning workflows inside the Databricks environment • Workspace, cluster, job, and Lakehouse architecture Snowflake • Core data-warehousing concepts and best practices • Query tuning and overall performance optimisation • Security features: RBAC, masking, encryption, and a...

This project centers on building and refining our Snowflake-based data warehouse so that the business has a single, trusted source of truth ready for downstream analytics. I have the environment up and running; what’s missing is an expert who can design it properly, populate it efficiently, and keep it secure. Key workstreams include: • Data modeling – create and maintain star/snowflake schemas that align with business processes, applying best practices for clustering and partitioning. • Data integration – design robust ELT pipelines (SQL, Snowpipe, Streams & Tasks or the tools you prefer) to ingest data from multiple operational systems and land it in a clean, query-ready state. • Data security management – set up roles, mask...

As a data operations team, we need an intelligent, automated way to cleanse, enrich, and duplicate large datasets sourced from CSV files. Today, this work is manual, inconsistent, and slow. We want to build an AI‑powered agent—developed in Microsoft Copilot Studio or Microsoft Foundry—that orchestrates the entire ETL process, integrates with Snowflake for storage and transformation, and connects to Dun & Bradstreet (D&B) for enrichment and deduplication. This agent should not only process data but also understand it: identify quality issues, propose corrections, enrich missing details, and guide users through validation when needed. • Build a CSV ingestion pipeline with schema validation and error reporting. • Implement automated data profiling to de...

We are seeking a data analyst familiar with AI tools to integrate various data systems, including Snowflake, Looker, Hex, Argo, Airflow, and SQLMesh. The goal is to create a data model ready for natural language queries. The ideal candidate will have experience in data integration and modeling, with a strong understanding of AI tools and their applications in data analysis.

...one for high concurrency. Think table partitioning (range and list), well-chosen GIN and B-Tree indexes, plus JSONB columns where semi-structured flexibility makes sense. Triggers, constraints and stored procedures must enforce business logic consistently, so the application tier can stay lightweight. Analytics layer Alongside the OLTP schema I need a separate reporting layer—either star or snowflake—that supports fast OLAP queries. It should draw cleanly from the operational tables and be easy to extend for future data-engineering workloads. Migration considerations Only transactional records from the existing system move over; user and inventory data can be regenerated or imported later. I’ll handle the extract, but I’ll need guidance on staging ta...

...Infrastructure: Self-Hosted Node.js environments, REST APIs, External DBs (Supabase/Firebase/etc.) Frontend: React (Admin UI) Nice to Have Proven Wix Experience: Building Wix CLI projects. Using Wix SDK and Platform APIs (Stores, eCommerce, OAuth). Implementing Wix Service Plugins and SPIs. Proven Marketplace Apps Development Experience: E.g. Salesforce / Monday / Shopify / Webflow / Wix / AWS / Snowflake DevOps: Familiarity with Docker, CI/CD pipelines (GitHub Actions), and cloud hosting platforms (AWS, Vercel, Heroku, or similar). Reliability: Experience with logging, monitoring, and error tracking tools....

...(hashed IDs, tokenization, etc.) o Controlled analytics and outputs only (no raw data sharing) 2. Evaluate Build vs Buy o Compare building from scratch vs existing solutions o Pros/cons, cost, scalability, vendor lock-in o Examples of real-world implementations 3. Technology recommendations o Cloud or hybrid architecture o Tools for privacy, access control, encryption o Possible use of BigQuery, Snowflake, AWS Clean Rooms, or custom stack 4. Security & Governance o Data access rules and roles o Auditability and traceability o Compliance-oriented design (financial / credit data context) 5. Deliverables o High-level architecture diagram o Recommended tech stack o Decision framework: build vs buy o Optional: roadmap for implementation Nice to have (big plus) • Experience wi...

...(hashed IDs, tokenization, etc.) o Controlled analytics and outputs only (no raw data sharing) 2. Evaluate Build vs Buy o Compare building from scratch vs existing solutions o Pros/cons, cost, scalability, vendor lock-in o Examples of real-world implementations 3. Technology recommendations o Cloud or hybrid architecture o Tools for privacy, access control, encryption o Possible use of BigQuery, Snowflake, AWS Clean Rooms, or custom stack 4. Security & Governance o Data access rules and roles o Auditability and traceability o Compliance-oriented design (financial / credit data context) 5. Deliverables o High-level architecture diagram o Recommended tech stack o Decision framework: build vs buy o Optional: roadmap for implementation Nice to have (big plus) • Experience wi...

...existing analytics initiative that now needs a dedicated Redshift-based warehouse. The core objective is to design and implement a robust schema in Amazon Redshift, then ingest data coming from three different sources—our operational SQL databases, a set of RESTful APIs, and periodic flat-file drops in CSV or JSON. Here is what I’m aiming for: • A well-structured Redshift warehouse (star or snowflake schema, whichever is most appropriate) built to scale and documented clearly. • Reliable, automated ingestion pipelines for each source type. For SQL we currently use PostgreSQL and MySQL; for APIs the payloads are mostly JSON; the flat files live in S3. • Transformations that standardise data types, handle slowly changing dimensions, and enforce dat...

My interview is coming up quickly and I need to fast-track my understanding of how Generative AI, Snowflake, and Python work—individually and, more importantly, together in production-style workflows. I’m starting from a beginner level, so I’m looking for an instructor who can translate complex ideas into clear, practical takeaways. Here’s what will help me most: • Live demonstrations with explanations as we step through code, Snowflake queries, and model integrations in real time. • Space to interrupt with questions so I can connect the dots on the spot. • Concrete, industry-based examples—think end-to-end pipelines that load data into Snowflake, prep it with Python, and feed it to a GenAI model or prompt-engineering l...

...standing up a brand-new business-intelligence stack in Snowflake and need a reusable migration framework built with dbt and solid SQL. The framework has to pull from two kinds of sources—existing relational databases and the steady stream of CSV/Excel flat files our teams export—then land, cleanse, validate, and automate each load all the way into analytics-ready tables. Here’s what I’m after: • A dbt project structured for easy extension, complete with models, seeds, macros, and tests that enforce data-quality rules at every stage. • Parameterised SQL and Snowflake tasks/procedures that orchestrate fully automated loads, from raw landing zones through staging to final marts. • Built-in monitoring and reporting—leveraging ...

...reliability and craftsmanship. The overall look should echo classic signage—think bold, slightly weathered lines and a touch of nostalgia—while still feeling crisp enough for today’s web and print use. Key elements to weave in: • My company’s initials (I’ll share them once we start). • A distinctive icon that clearly hints at heating and cooling—something along the lines of a flame, sun, or snowflake worked into the lettering. Color direction: lean into warm reds, oranges, and yellows. The palette needs to stay cohesive and legible against light and dark backgrounds, so feel free to propose subtle gradients or accent tones if it helps the design pop. Final deliverables I need: • Vector artwork (AI, EPS, and layered PDF) &b...

I am rolling out a new environment that spans Terraform-managed infrastructure, automated Github Actions workflows, and integrations with Snowflake and Mulesoft. The area where I need the most hands-on help is AWS—specifically provisioning, securing, and optimising EC2 instances, S3 storage buckets, and a series of serverless Lambda functions that glue everything together. Here’s the flow I’m targeting: • Terraform drives all resource creation so our stacks remain fully reproducible. • Github Actions handles CI/CD, triggering Terraform plans/applies and Lambda deployments on every merge. • Data exchanged between Snowflake and our micro-services is exposed through Mulesoft APIs running behind AWS resources. What I need from you: a cle...

...in Data Engineering, AI/ML, and Advanced Analytics across industries such as SaaS, FinTech, Healthcare, and EdTech. We have also built 6 proprietary products, reflecting our strong product engineering DNA. is ISO 27001 certified and SOC 2 Type II compliant, demonstrating our strong commitment to security and compliance. We are a trusted partner with AWS, Google Cloud Platform (GCP), Snowflake, and Databricks. Headquartered in Phoenix, operates globally with offices in the USA (Chandler, AZ), Canada (Toronto), and India (Ahmedabad and Bangalore). Location: Ahmedabad | Remote Work Type: Remote (3 Months Contract) Primary Skills: QA Automation, SDET, API Testing, Azure Cloud, CI/CD, .NET Experience: 4+ Years Role Overview: We are looking for a QA / SDET who will be responsible

...probabilistic modeling, statistical inference, and experimentation frameworks (A/B testing, causal inference). Can collect, clean, and transform complex datasets into structured formats ready for modeling and analysis. Have experience designing and evaluating predictive models, using metrics like precision, recall, F1-score, and ROC-AUC. Are comfortable working with large-scale data systems (Snowflake, BigQuery, or similar). Are curious about AI agents, and how data can shape the reasoning, adaptability, and behavior of intelligent systems. Enjoy collaborating with cross-functional teams — from engineers to research scientists — to define meaningful KPIs and experiment setups. This listing is only for people residing in India. Primary Goal of This Role To desig...

...values, o Collect relevant dimension values, o Collect SimKey(s) derived from the current selection, o Read required Qlik variables (see section 6). 2. Build a JSON payload (batch). 3. Send the payload via HTTPS POST to a custom backend endpoint: / 4. Handle backend response: o Success o Validation errors o Backend errors ❌ No file-based writeback (CSV, QVX, XLSX) ❌ No Snowflake-managed backend ❌ No reload-trigger-only logic ________________________________________ 6. Variables & Recalculation Control Before or during the writeback action, the extension must also be able to: • Set or update Qlik variables (e.g. recalculation flags, mode selectors), • These variables will determine: o How the backend recalculates metrics, o Which logic path is app...

I’m almost ready to sit the Snowflake certification but still lack high-quality practice exams that truly reflect the test. I need a set of original, full-length exams—timed and weighted like the real thing—with clear answer keys and explanations so I can understand not just what’s right but why. Scope • Three complete mock exams at minimum, each covering the three focus areas I selected: data warehousing concepts, SQL queries, and security & data protection. • Balanced question distribution and difficulty that mirrors Snowflake’s blueprint. • Detailed rationales for every answer, including references to official documentation where relevant. • Delivery in a format I can take repeatedly (PDF, Google Form, or a lightweigh...

...ownership of the full MS SQL-to-Power BI pipeline. The end goal is clear: deliver rock–solid data analytics that put timely, actionable Sales insights in front of our stakeholders. You’ll start by refining and expanding our MS SQL Server environment—creating or tuning tables, views, stored procedures, and functions so queries run quickly even on very large fact tables. From there, design a star or snowflake model that makes sense for reporting, then build the ETL logic to keep it populated and up to date. Our source of truth is MS SQL Server, and the semantic layer will live in Power BI; if you’re comfortable incorporating other sources such as flat files or APIs later, that flexibility will be a plus. Once the data model is solid, craft interactive Powe...

...into trends quickly. My data is sales-focused and can be quite complex—multiple tables, different time windows, and a mix of transactional and summary files. While revenue, units sold, and customer acquisition matter, I’m ultimately looking for a flexible build that can accommodate additional metrics without starting from scratch. Key expectations • Connect to the data sources I provide (Snowflake and SQL). • Build reusable data models so updates flow straight through. • Design sleek, filter-driven visuals with clear hierarchy and branded colour palette. • Optimise performance so the workbook remains fast even as the dataset grows. • Package and hand over a .twbx plus a short Loom walkthrough so my team can maintain it. If you&rsq...

...design exercise If your portfolio is theme-based, Canva-driven, or animation-heavy, do not apply. What This Project Requires Calm, authoritative, enterprise-first UX/UI Strong typography, spacing, and grid discipline Ability to present complex systems and decision flows clearly Mature design restraint (no visual noise) Clean, fast, SEO-ready development Reference standard: McKinsey / Palantir / Snowflake (enterprise sections) Scope (Phase 1) Home Products (multiple offerings) Solutions / Use Cases About Contact Stack: Webflow / / Custom (recommend and justify) Who Should Apply 5+ years in enterprise / B2B / SaaS Can challenge poor ideas, not just execute instructions Comfortable with strategy-heavy, founder-led briefs Portfolio shows restraint, clarity, and authority Mandatory A...

Big Data Engineer with expertise in the Hadoop Ecosystem, including on GCP, AWS and Snowflake, GCP - Big Query Extensive experience deploying cloud-based applications using Amazon Web Services such as Amazon EC2, S3, RDS, IAM, Auto Scaling, CloudWatch, SNS, Athena, Glue, Kinesis, Lambda, EMR, Redshift, and DynamoDB. Worked on ETL Migration services by developing and deploying AWS Lambda functions for generating a serverless data pipeline which can be written to Glue Catalog and can be queried from Athena. Proven expertise in deploying major software solutions for various high-end clients meeting the business requirements such as big data Processing, Ingestion, Analytics and Cloud Migration from On-prem to AWS Cloud using AWS EMR, S3, DynamoDB Hands of experience in GCP, Big Query,...

Job Summary: We’re looking for a Staff-level Salesforce Architect with deep hands-on expertise across core clouds, strong Data Cloud experience, and the ability to translate business outcomes into scalable multi-cloud architectu...customer leadership, engineering teams, and business stakeholders ● Demonstrated leadership experience guiding teams and driving large-scale architectural initiatives ● Certifications such as Salesforce CTA, Application Architect, System Architect, Marketing Cloud Architect, or Data Cloud Consultant ● Experience with Tableau, MuleSoft, or advanced Marketing Cloud features is a plus ● Experience with Snowflake, reverse ETL tools, or enterprise data lakes is a plus ● Knowledge of enterprise data governance, metadata management, and cataloging is good t...

...language queries against Snowflake tables to surface relevant business outcomes (e.g., sales trends, inventory levels, customer loyalty metrics). Train and fine-tune the chatbot model, iterating when errors occur to improve accuracy and reliability. Business Expertise & Data Correlation Understand retail business processes and leadership priorities (sales dashboards, merchandising KPIs, supply chain metrics). Correlate leadership questions with Snowflake data structures, ensuring outputs align with business expectations. Articulate expected business outcomes from data queries, bridging the gap between technical solutions and executive decision-making. Technical Solution Development Write and optimize SQL queries to extract, transform, and deliver insights from Snowf...

...system. This tells the engineer: • Performance > fancy tech • No rebuild madness • Practical results expected ⸻ Current Tech Stack (must be explicit) Frontend • React (web) Backend / Infra • Firebase Firestore • Firebase Auth • Firebase Cloud Functions • Firebase Storage (if any) Expected Add-on (optional, NOT mandatory) • PostgreSQL (Supabase / Cloud SQL) — only if justified Snowflake, Kafka, Hadoop NOT required at this stage. ⸻ Scale Assumptions (anchor the design) Engineer must assume: • 2-2.5 lakh total users • 40–60k daily active users • High read/write operations during school hours • Multiple schools, each with: • Students • Teachers • Batches • A...

I’m refreshing my brand identity for EMK CLIMATE SOLUTIONS LLC and need a logo that instantly communicates expertise, honesty, responsibility, and professionalism. The look should be modern and built around a blue-and-white palette. I’d like to see clear cooling-and-heating symbolism—think a balanced snowflake/flame, airflow arrows, or any clever graphic that captures both temperature extremes without feeling cliché. Because the design will be used on service vans, uniforms, invoices, and digital media, it has to scale cleanly and stay legible in one-color print. Typography should feel sturdy yet approachable; nothing too ornate. Please include: • At least three initial concept options, each in blue and white • Two rounds of refinements on the...

I’m refreshing my brand identity for EMK CLIMATE SOLUTIONS LLC and need a logo that instantly communicates expertise, honesty, responsibility, and professionalism. The look should be modern and built around a blue-and-white palette. I’d like to see clear cooling-and-heating symbolism—think a balanced snowflake/flame, airflow arrows, or any clever graphic that captures both temperature extremes without feeling cliché. Because the design will be used on service vans, uniforms, invoices, and digital media, it has to scale cleanly and stay legible in one-color print. Typography should feel sturdy yet approachable; nothing too ornate. Please include: • At least three initial concept options, each in blue and white • Two rounds of refinements on the...

I have a data model in place and now need an experienced Power BI hand to turn it into an executive-ready dashboard that is also fully secured. The priority is Row-Level Security and user-based access control, so every stakeholder only sees the data that belongs to them. Here is what I need you to handle for me: • Design or refine a star/snowflake schema so RLS rules work efficiently. • Create the necessary roles, DAX filters, and test cases to prove access is correctly restricted. • Build a clean, interactive report that highlights key KPIs and time-intelligence insights. • Publish to the Power BI Service, configure the workspace, set up gateways if required, and schedule refreshes so the report stays current without manual action. • Provide a ...

I need an experienced Snowflake specialist to take ownership of three key pieces of work on my current analytics initiative. First, you will migrate our existing data—currently split between several relational SQL databases and a large collection of flat CSV files—into Snowflake. You’ll design and automate repeatable ingestion pipelines, handle any necessary data cleansing, and validate row-level accuracy once the data lands in its new home. Second, once the data is in place, you’ll convert that raw load into a well-structured, scalable Snowflake data warehouse. Proper schema design, thoughtful use of micro-partitioning, and clear naming conventions are crucial, as downstream analysts will rely on your work for daily reporting. Finally, perfo...

... HR, and finance. Role Overview We are seeking a highly skilled Senior Data Analyst with deep experience in Snowflake and enterprise analytics to support system implementations, scalable reporting, and decision-making across the organization. This role is designed for a senior individual contributor who can own analytics initiatives end-to-end—from understanding business questions to designing data models, building dashboards, and translating data into clear insights for leadership. Phase 1 Focus The initial phase of this role will support the implementation of a new HR and Payroll platform (Rippling), ensuring accurate data integration, validation, and reporting within Snowflake. Phase 2 Focus Following implementation, the role will expand into broader enterpris...

I need a seasoned Python engineer to take full ownership of the backend for an AI-powered chatbot builder SaaS. The core stack is FastAPI + AutoGen + Qdrant, running in Docker with PostgreSQL for relational data and Snowflake-style IDs for globally unique keys. Here is what the service must do: • Expose secure REST endpoints so users can create, update, and delete chatbots, their knowledge bases, and related user profiles. • Spin up multi-agent conversations through AutoGen, allowing complex workflows and tool usage behind the scenes. • Store and query embeddings in Qdrant to deliver rapid vector search and long-term conversation memory. • Accept document uploads (PDF, DOCX, plain text, web pages), run ingestion pipelines, and tie the parsed content to eac...

...version 2. Mascot Character Cute penguin character with lightning accent Full body + expressions + poses 3. Brand Color Palette Primary + secondary + accent colors Guidelines for usage 4. Typography Main fonts + secondary fonts Usage guidelines 5. Packaging & Product Mockups Snow cone cups Stickers Kiosk signage Vehicle designs 6. Pattern and Graphic Elements Lightning icons Snowflake doodles Retro snack sketches 7. Social Media Template Instagram Facebook TikTok 8. Brand Guidelines PDF All assets in one guide I want a playful, retro, nostalgic yet modern identity that feels premium and lovable for kids and adults alike. Deliverables: Vector files (AI / EPS / SVG) PNG / JPG PDF style guide Style references: Soft pastel blues Kawaii minimal line...

I’m putting together a small collection of simple, mostly-flat 3D models that can be printed in stacked colour layers. Think of them as decorative “plaques” that look great straight off the printer without hand painting. For this first batch I need separate files for the following motifs: • Snowflake for winter • Flower set for spring • Egg for Easter • Shamrock for St. Patrick’s Day Each design should be built as a series of distinct height layers so that I can pause the print and swap filament colours. A clean, flat back surface is important because I may mount magnets or adhesive strips afterwards. Here's an example of the concept: File requirements • Native CAD or sculpt file plus final STL (3MF welcome too)

I need a fresh, modern Christmas artwork that will sit behind a pop-up canopy at events. The palette is locked to classic red and green, yet the overall feel should stay sleek and current rather than ornate or vintage. Key visual accents I definitely want to see are stylised Christmas trees blended with subtle snowflake patterns. The composition still has to read well from a distance, so clean shapes, balanced negative space and crisp contrast are important. The final art must arrive print-ready at high resolution (large-format CMYK PDF) along with the editable source file so my printer can make any scale tweaks. If you can share a quick proof or concept mock-up early, that will help us lock the direction before you refine the full piece.

...proximity engine. Coupon & gamification rules engine. Event management. Business directory management. Incident/SOS management. Notification engine (email, SMS, WhatsApp, web push). Microservices for independent scaling (SOS, maps, notifications). 3.3 Data & AI Layer Front-end: Vue. Operational DB: Supabase (users, sessions, scans, events, coupons, SOS). Data warehouse (BigQuery/Redshift/Snowflake). ETL/ELT for logs ingestion, cleaning, anonymization. AI models: recommendations, predictive heatmaps, under-activated zone detection, anomaly detection (security/fraud). 3.4 Integration Layer Municipality systems: licenses, tourism, culture, security, civil protection. Emergency & medical: C5/911, Red Cross, hospitals (API/web console). Third parties: Googl...

We are looking for an experienced Digital Marketing Specialist who can help us acquire high-value clients in the Data Engineering & Cloud Analytics domain. Our company specializes in solutions such as Azure / Databricks / Snowflake / AWS / GCP, Data Warehousing, ETL & Streaming Pipelines, and Enterprise AI/ML. The ideal candidate will have hands-on experience running targeted lead-generation campaigns for IT or B2B tech consulting services and should be able to reach CXO/VP/Director-level stakeholders in industries like Finance, Retail, Healthcare, Manufacturing, Supply Chain, and others. Responsibilities • Create and execute ROI-driven marketing campaigns focused on client acquisition • Run targeted campaigns on LinkedIn, Google Ads, Facebook, and Email marketing...

...income range, etc.) and behavioural patterns (engagement frequency, preferred channels, likelihood to churn). • Automation focus: updating only. Collection pipelines already exist; I just need this layer to augment and refresh the data we already hold. • Tech expectations: Python or Node, clean REST or GraphQL calls to third-party APIs, optional use of tools like Airflow, AWS Lambda, Zapier, Snowflake or similar—whatever achieves reliable, low-latency updates. • Reliability: retries, error logging, and configurable scheduling (cron + webhook support). • Privacy & compliance: GDPR-friendly design, no raw PII stored outside approved systems. Deliverables 1. Source code for the plugin(s) with clear, commented functions. 2. A short README co...

I am gearing up for a 2026 go-live of a Snowflake cloud data platform. Legacy data must be migrated and blended with new, system-generated data while business users continue to receive uninterrupted insights through Power BI. I need a clear, executive-ready PowerPoint that lays out the delivery approach and the challenges to expect during implementation and integration. Please cover: • Project phases and key activities—from initial discovery and data assessment through cut-over and post-go-live optimisation. • A workable timeline that shows how data migration, new-source ingestion, and Power BI continuity run in parallel. • Likely obstacles such as data quality gaps, schema drift, performance tuning, role-based security, and change management, paired wi...

I'm seeking an expert to assess and recommend a new data warehouse and machine learning platform to replace our current SAS Base syst...Cost (of running data and licenses) - Migration time frame - Training/skills required - Ability to deploy/develop dedicated model etc Key Requirements: - Handle data storage, ETL, visualization, reporting, and ML modeling - Blend seamlessly with AI tools - Scalability, performance, and ease of integration are critical - Open to various vendors (AWS, Google Cloud, Azure, Databricks, Snowflake, BigQuery, Azure Viya) Ideal Skills: - Experience with modern data platforms - Strong knowledge of ETL processes and ML - Familiarity with AI integration - Vendor comparison expertise Your insights will help us choose the right platform...

I need a hands-on Tableau session focused specifically on replacing data sources from Snowflake to Athena—without breaking any existing worksheets, calculations, or dashboards. My sticking point is field mapping: identical-looking fields aren’t lining up, calculated fields turn red, and several filters drop out as soon as I swap sources. Here’s what I’d like from our time together: . • Diagnose a live example of my failing mapping, show me why certain dimensions or measures won’t link, and fix them on the spot. • Share best practices for maintaining calculations and parameters during future migrations between Snowflake, Athena, or any other SQL-based stores.

I’m setting up an end-to-end data pipeline on Snowflake and need hands-on help turning the plan into a production-ready workflow. Scope of work • Ingest & stage data coming from two sources—File drops (CSV, Parquet or similar) and public or private APIs—using Snowpipe, external stages or the approach you find most efficient. • Create and maintain the Snowflake objects I actually need right now: Schema and Warehouse. (The design should be flexible enough to add more databases later if the model grows.) • Build scripted, version-controlled processes for cleaning, transformation and data validation so that nothing relies on manual clicks. Think stored procedures, tasks, dbt, or equivalent—whichever keeps things transparent and re...

Tengo un dashboard en Tableau completamente operativo que hoy se alimenta desde Snowflake. Quiero que siga luciendo y funcionando exactamente igual, pero conectado a Amazon Athena. Alcance • Reemplazar la fuente Snowflake por Athena sin alterar la estructura ni el diseño del tablero. • Conservar intactas todas las medidas calculadas; son la prioridad absoluta. • Verificar que filtros, etiquetas y grupos sigan respondiendo correctamente después del cambio. • Entregar la versión actualizada del workbook y un breve reporte con los pasos realizados y las pruebas de validación. Tecnologías – Tableau Desktop/Server – Amazon Athena – Conexiones ODBC/JDBC según convenga Qué valoro en t...