Job Description
Data Engineer – AWS & Databricks
nRole Overview
nThe Client Data Engineer will be responsible for the design, development, validation, optimization, and ongoing ownership of data solutions primarily using AWS and Databricks . The role will work closely with internal teams, business SMEs, architects, governance teams, Power BI /analytics teams, and implementation partners.
nThe ideal candidate should have 5+ years of experience in data engineering, ETL/ELT, and data integration , with strong hands-on expertise in Databricks, AWS, SQL, Python, PySpark, and Spark.
nKey Responsibilities
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- Design, develop, and support AWS and Databricks data pipelines using SQL, Python, PySpark, and Spark.n
- Develop and maintain Bronze, Silver, and Gold data layers using Databricks and Delta Lake.n
- Work with source-system data, business rules, mappings, and integration requirements.n
- Review and validate data solutions delivered by implementation partners.n
- Perform data profiling, reconciliation, testing, and troubleshooting.n
- Support data quality, metadata,



lineage, and Unity Catalog activities.n
- Optimize Databricks pipelines and queries for performance, scalability, and cost efficiency.n
- Participate in code reviews, CI/CD, deployment, and production support.n
- Maintain technical documentation and support knowledge transfer to internal teams.n
- Collaborate closely with BI and analytics teams on downstream reporting and data requirements.n
- Support integration with Tableau and Power BI for reporting and analytics use cases.n

nRequired Skills
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- 5+ years of experience in data engineering, ETL/ELT, or data integration.n
- Robust hands-on experience with Databricks .n
- Strong experience with AWS data services and cloud-based data platforms .n
- Strong SQL and Python skills.n
- Strong experience with PySpark / Apache Spark.n
- Experience designing and implementing data pipelines and data transformation frameworks.n
- Stron

📌 Data Engineer (Visakhapatnam)
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