3–5 yrsHyderabadOn-siteDirect career pageEst. 12–20 LPA
Posted 2d ago
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Job description
Structured overview of role & requirements
About This Role
- Design, develop, and support data assets and data products in the Enterprise Data Lake for Enabling Functions (HR, Finance, Law, Compliance, Procurement).
- Develop AWS cloud-based data pipelines and end-to-end ETL processes to facilitate data processing, integration, and visualization.
- Maintain data catalog, user access requests, data use tracking, and support data operations and production/application enhancements.
Minimum Requirements
- 3-5 years of IT experience with developing AWS cloud-native data lakes and ecosystems including production support.
- Hands-on experience with AWS services such as Glue Studio, Athena, Redshift, and PostgreSQL; programming skills in Python and Spark.
- Experience in an onshore-offshore delivery model and Agile/Product-based environments.
- Knowledge of data security and privacy best practices.
Ideal Candidate Profile
- Strong background in data engineering and data systems, comfortable with both structured and unstructured data.
- Familiarity with enterprise functions data domains (HR, Finance, Compliance, Procurement) preferred.
- Experience with Databricks Lakehouse architecture, Delta Lake, Unity Catalog, and expertise in PySpark/SQL and performance tuning for scalable data pipelines.