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Tier-1 employer, metro Hyderabad, and a common data-engineer profile create moderate competition.
Big-data and Azure skills transfer across industries, but BFSI domain experience increases fit sensitivity.
Explicit 8+ years plus mandatory Azure, Databricks, Spark skills make screening highly selective.
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Design, build, and maintain scalable ETL/ELT data pipelines on Azure cloud or on-premise for batch and real-time processing.
Ensure reliability, performance, data quality, security and compliance across data pipelines while collaborating cross-functionally with business and tech teams.
Mentor data engineers and independently lead solution design, estimation, and troubleshooting for production-grade big data analytics solutions.
8-10+ years of relevant experience in big data engineering.
Bachelor's degree in computer science, information technology, or equivalent.
Strong expertise in SQL, Python/Scala, NoSQL (HBase, Cosmos DB), and big data frameworks (Apache Spark, Hadoop, Hive).
Experience with Azure cloud services such as Data Factory, EventHub, Synapse, and Databricks.
Experienced individual contributor capable of independently designing and delivering end-to-end big data solutions aligned with business needs.
Strong collaboration and stakeholder engagement skills working across Business, Technology, Operations, and Data & Analytics teams.
Proven mentorship ability to guide junior engineers and drive engineering best practices in cloud-based big data environments.