Senior Specialist, GSF DnA Data Engineer
MSD (Merck & Co., Inc.) (company site, opens in a new tab)8+ yrsHyderabadHybridDirect career pageEst. 22–35 LPA
Posted 12h ago
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Job description
Structured overview of role & requirements
About This Role
- Design, develop, and operate end-to-end batch and streaming data pipelines and platforms on AWS and Databricks to support analytics and reporting.
- Lead engineering standards implementation and mentor data engineers through design reviews, pair programming, and knowledge-sharing to improve team capabilities.
- Define and enforce data quality controls, SLAs, observability, and operational excellence practices ensuring reliable data platform performance.
Minimum Requirements
- 8+ years of professional experience in Data Engineering with production-grade data platforms and pipelines.
- Strong expertise in AWS data services (S3, Glue, Lambda, Step Functions, EMR/ECS/Fargate), Databricks, Python, PySpark, and SQL.
- Bachelor's degree in Computer Science, Engineering, or related field (or equivalent experience).
- Experience with CI/CD, GitHub version control, and Infrastructure as Code (Terraform).
Ideal Candidate Profile
- Experienced leader with hands-on technical skills who can provide mentoring and set engineering standards within data teams.
- Strong background in cloud-based data platforms (AWS and Databricks) with deep knowledge of data modeling (dimensional/star/snowflake), data warehousing, lakehouse architecture, and data quality frameworks.
- Comfortable working in Agile environments collaborating closely with product managers, analysts, and data scientists to translate business requirements into governed, reusable datasets.