We are seeking a hands-on Data Engineer / Developer with 3–6 years of experience to support an enterprise data platform modernization initiative. The role will focus on migrating legacy Informatica PowerCenter and AWS Glue workloads to Databricks and developing scalable, reliable data pipelines using established migration patterns and common frameworks. The ideal candidate should have robust hands-on development skills in PySpark, Python, SQL and Databricks, with experience in ETL development, data transformation, testing and troubleshooting. Day-to-Day Job Duties • Analyze existing Informatica workflows, mappings and AWS Glue jobs to understand source-to-target mappings and transformation logic.

• Develop Databricks notebooks and data pipelines to migrate existing ETL workloads to the Databricks Lakehouse.

• Develop data transformations using Python, PySpark, Spark SQL and Databricks SQL.

• Implement Bronze, Silver and Gold layer processing following established project architecture and coding patterns.

• Develop batch and incremental processing pipelines using Delta Lake and established watermark/control mechanisms.

• Develop and maintain Databricks Jobs/Workflows and Lakeflow Declarative Pipelines as required.

• Reuse common project frameworks for logging, auditing, data quality, error handling and notifications.

• Convert Informatica transformations, mappings, lookups and business rules into equivalent Databricks implementations while preserving existing business logic.

• Support migration of AWS Glue jobs and database-based processing into Databricks.

• Perform unit testing and source-to-target data reconciliation for migrated pipelines.

• Investigate and resolve data, SQL, PySpark and pipeline execution issues.

• Support integration testing, regression testing,



UAT and production validation.

• Work with senior developers and technical leads to resolve technical issues and dependencies.

• Follow established coding, performance, security and development standards.

• Participate in code reviews and incorporate review feedback.

• Prepare technical documentation and support knowledge transfer for migrated workloads.

• Support deployment, monitoring, production stabilization and cutover activities.

Skills and Requirements

- 3–6 years of experience in data engineering, ETL development or application/data platform development. • Hands-on experience with Databricks and Apache Spark. • Strong development skills in Python/PySpark and SQL. • Experience with: o Databricks notebooks o Spark SQL / Databricks SQL o Delta Lake o Databricks Jobs/Workflows • Experience developing batch or incremental ETL/ELT pipelines. • Experience with one or more ETL technologies such as Informatica PowerCenter, AWS Glue, SSIS or similar. • Experience working with relational databases and SQL-based data processing. • Understanding of data transformation, source-to-target mapping and ETL development. • Experience with unit testing, data validation and troubleshooting. • Basic understanding of Bronze/Silver/Gold or other layered data architectures. • Ability to work within an established development framework and follow coding standards.



• Good analytical, problem-solving and communication skills. • Bachelor's degree in Computer Science, Information Technology, Engineering or equivalent experience. • Databricks certification. • Experience with Lakeflow Declarative Pipelines / Delta Live Tables. • Experience with Unity Catalog. • Experience with Databricks Asset Bundles and CI/CD. • Experience with AWS S3, Glue and Redshift. • Experience with Auto Loader or streaming ingestion. • Experience with CDC and SCD Type 1 / Type 2 processing. • Experience with data quality, audit and error-handling frameworks. • Experience with Informatica PowerCenter mappings/workflows. • Experience with AWS services including S3, Glue, Lambda and Redshift. • Experience with Spark/Delta performance optimization. • Experience working in a cloud data modernization or migration project.

We are a company committed to creating diverse and inclusive environments where people can bring their full, authentic selves to work every day. We are an equal employment opportunity/affirmative action employer that believes everyone matters. Qualified candidates will receive consideration for employment without regard to race, color, ethnicity, religion, sex (including pregnancy), sexual orientation, gender identity and expression, marital status, national origin, ancestry, genetic factors, age, disability, protected veteran status, military or uniformed service member status, or any other status or characteristic protected by applicable laws, regulations, and ordinances.

If you need assistance and/or a reasonable accommodation due to a disability during the application or the recruiting process, please send a request to [email protected].

📌 Databricks Data Engineer - INTL India (Hyderabad)
🏢 Insight Global
📍 Hyderabad