Lead Data Engineer
Dr. Reddy's Laboratories (company site, opens in a new tab)HyderabadOn-siteDirect career pageEst. 22–35 LPA
Posted 3h ago
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Job description
Structured overview of role & requirements
About This Role
- Own end-to-end design and modernization of cloud-native data platforms on Google Cloud, including architecture, modeling, and pipeline development.
- Lead migration from legacy ETL platforms (e.g., SAP BODS) to cloud-native tools such as Airflow, Informatica IICS, and PySpark, ensuring minimal business disruption.
- Set engineering standards and governance, oversee vendor delivery, and mentor engineers to build reusable, business-ready data products supporting analytics and AI use cases.
Minimum Requirements
- Strong hands-on expertise in Google Cloud Platform services (BigQuery, Cloud Composer/Airflow), Informatica IICS, Airflow, and PySpark.
- Experience leading legacy ETL modernization or cloud migration programs, especially from SAP BODS or similar tools.
- Bachelor's or Master's degree in Computer Science, Engineering, IT, or related field.
- Work Experience Required: Not explicitly mentioned in the JD.
Ideal Candidate Profile
- Experience designing scalable data architectures and data products across data lake, warehouse, and lakehouse layers on GCP.
- Familiarity with DataOps practices such as CI/CD, automated testing, and pipeline observability, with a focus on AI-enabled development and GenAI/LLM preparation.
- Proven capability in leadership including setting data engineering standards, technical governance, and managing vendor or managed service partners in a large enterprise or pharma/life sciences context.