Data Engineering Manager - Databricks, ETL
Optum (company site, opens in a new tab)8+ yrsHyderabadOn-siteDirect career pageEst. 30–45 LPA
Posted 1d ago
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Job description
Structured overview of role & requirements
About This Role
- Design, build, and maintain scalable, resilient data pipelines and platforms using technologies like Databricks, Snowflake, and Redshift to support enterprise analytics and reporting.
- Lead end-to-end delivery of analytics data products including development, production support, and optimization while ensuring data security, governance, quality, and standardization.
- Manage and mentor a team of data engineers to drive best practices, technical excellence, and continuous improvement.
Minimum Requirements
- Bachelor's or Master's degree in Computer Science, Engineering, or related field.
- Typically 8+ years of relevant experience in data engineering or related domain.
- Proficiency with Apache Spark, Databricks, Snowflake, AWS Redshift, Kafka, Azure cloud services, and ETL/ELT pipeline design and optimization.
- Strong programming skills in Python and/or Scala/Java; experience with orchestration tools (Airflow), CI/CD, Git, and Linux shell scripting.
Ideal Candidate Profile
- Experienced leader with technical depth in Big Data technologies and cloud data architectures, capable of managing end-to-end data product lifecycles.
- Skilled in collaborating with business and engineering stakeholders to enable advanced analytics and machine learning solutions.
- Proven mentor able to guide teams towards technical excellence, robust data practices, and continuous improvement in a complex, large-scale environment.