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OCI Data Integration Developer – Finance (O2C Focus) Location - Remote Experience - 6 to 8 years We are seeking an experienced OCI Data Integration Developer to join the Next Gen Finance Transformation program. This role focuses on designing and implementing scalable, automated data pipelines and integration workflows within Oracle Cloud Infrastructure (OCI) to support Finance and Order-to-Cash (O2C) data flows. Key Responsibilities * Design, develop, and manage data integration pipelines using OCI Data Integration (OCI DI) for ingestion, transformation, and delivery of Finance/O2C data. * Build and orchestrate ETL/ELT workflows leveraging OCI services such as Object Storage, Data Flow, Data Catalog, Autonomous Data Warehouse (ADW), and Data Lakehouse. * Integrate data from Oracle ...

I need an experienced Python engineer who works confidently with AWS Glue to build and manage a small suite of data-integration jobs for a Hyderabad-based project. The core of the work is to design and automate Glue ETL pipelines that pull data from our production databases, catalog it accurately, and transform it into analytics-ready tables. Here is what I expect from the engagement: • Develop, test, and deploy Glue ETL jobs in Python. • Populate and maintain the Glue Data Catalog so new tables are discoverable and properly version-tracked. • Implement efficient transformation logic that cleans, enriches, and partitions data for downstream reporting. • Optimise job performance and cost by selecting the right worker types, job parameters, and database connectio...

The goal is to design a future-proof relational backbone for a multi-channel retail platform, built natively on PostgreSQL. I already run an operational system, and its live transactional records will have to be migrated into the new structure without downtime. Everything else—users, inventory, orders—will start fresh. Core design expectations The operational schema should be fully normalised to 3NF and optimised from day 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 se...

I need an experienced Python engineer who works confidently with AWS Glue to build and manage a small suite of data-integration jobs for a Hyderabad-based project. The core of the work is to design and automate Glue ETL pipelines that pull data from our production databases, catalog it accurately, and transform it into analytics-ready tables. Here is what I expect from the engagement: • Develop, test, and deploy Glue ETL jobs in Python. • Populate and maintain the Glue Data Catalog so new tables are discoverable and properly version-tracked. • Implement efficient transformation logic that cleans, enriches, and partitions data for downstream reporting. • Optimise job performance and cost by selecting the right worker types, job parameters, and database connectio...

I need an experienced Python engineer who works confidently with AWS Glue to build and manage a small suite of data-integration jobs for a Hyderabad-based project. The core of the work is to design and automate Glue ETL pipelines that pull data from our production databases, catalog it accurately, and transform it into analytics-ready tables. Here is what I expect from the engagement: • Develop, test, and deploy Glue ETL jobs in Python. • Populate and maintain the Glue Data Catalog so new tables are discoverable and properly version-tracked. • Implement efficient transformation logic that cleans, enriches, and partitions data for downstream reporting. • Optimise job performance and cost by selecting the right worker types, job parameters, and database connectio...