5+ yrsHyderabadOn-siteDirect career pageEst. 20–32 LPA
Posted 1d ago
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Job description
Structured overview of role & requirements
About This Role
- Develop and maintain ETL/ELT pipelines for data ingestion into data warehouse, ensuring efficient performance and scalability.
- Collaborate with data architects, analysts, and scientists to meet data infrastructure needs and ensure data quality, security, and integrity.
- Partner with Enterprise Data and Analytics Platform team and Data Community to enable adoption of data strategy and technologies in a fast-paced, Agile/Product environment.
Minimum Requirements
- 3-5 years of hands-on data engineering experience, preferably in cloud environments.
- Experience with Databricks Lakehouse architecture, Delta Lake, Unity Catalog, Databricks Workflows, PySpark/SQL optimization, and AWS data engineering services including Glue.
- Strong programming skills in Python, PySpark, SQL, and familiarity with cloud-based data technologies such as AWS services (Redshift, Athena, Lake Formation).
- Work Experience Required: 3-5 years in data engineering or software development. Notice period: Not explicitly mentioned in the JD.
Ideal Candidate Profile
- Experienced in operating end-to-end data pipelines and optimizing data storage/performance in cloud-native, product-driven environments.
- Skilled in implementing real-time data ingestion pipelines and integrating AWS services with GitHub workflows for automation.
- Familiar with Agile and product-oriented team setups involving cross-site collaboration, preferably with exposure to life sciences R&D domain.