Data Engineer II
MetLife (company site, opens in a new tab)5+ yrsHyderabadOn-siteDirect career pageEst. 18–28 LPA
Posted 19h ago
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Job description
Structured overview of role & requirements
About This Role
- Design, build, and maintain scalable ETL/ELT data pipelines on Azure cloud and/or on-premises handling large volumes of structured and unstructured data.
- Monitor, optimize, and troubleshoot data pipelines to ensure high reliability, scalability, and performance.
- Ensure compliance with data processing, quality, security guidelines and collaborate with cross-functional partners including Data Governance, Data Science, DevOps, and BI teams.
Minimum Requirements
- 5-8+ years of relevant experience in data engineering or related roles.
- Bachelor's degree in Computer Science, Information Technology, or equivalent.
- Strong hands-on expertise in SQL, Python/Scala, NoSQL databases (HBase, Cosmos DB), big data frameworks (Apache Spark, Hadoop, Hive), and Azure cloud services (Azure Data Factory, Eventhub, Synapse, Databricks).
- Experience in building batch and real-time data processing pipelines with attention to performance tuning and data quality validation.
Ideal Candidate Profile
- Individual contributor capable of independently managing end-to-end data engineering solutions in complex hybrid cloud environments.
- Experience in deploying and optimizing data solutions using medallion architecture and implementing real-time streaming pipelines with Spark.
- Skilled in cross-team collaboration with business, technology, and data domains, requiring strong partner engagement and communication abilities.