- Collaborate with the development team to understand data requirements and identify potential scalability issues.
- Design, develop, and implement scalable data pipelines and ETL processes to ingest, process, and analyse large volumes of data from various sources.
- Optimize data models and database schemas to improve query performance and reduce latency.
- Monitor and troubleshoot the performance of our Cassandra database on Azure Cosmos DB, identifying bottlenecks and implementing optimizations as needed.
- Work with crossfunctional teams to ensure data quality, integrity, and security.
- Stay up to date with emerging technologies and best practices in data engineering and distributed & Requirements :
- Proven experience as a Data Engineer or similar role, focusing on designing and optimizing largescale data systems.
- Solid understanding of distributed systems, data modeling, Data warehouse Designing, and ETL processes.
- Detailed understanding of Software Development Life Cycle (SDLC) is required.
- Good to have knowledge on any visualization tool like Power BI, Tableau.
- Good to have knowledge on SAP landscape (SAP ECC, SLT, BW, HANA etc).
- Good to have experience on Data Migration Project.
- Knowledge of Supply Chain domain would be a plus. )
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Data Engineer - Hyderabad, India - consultancy
Description
Responsibilities :
- Experience with cloud-based data platforms, preferably Azure Cosmos DB.