Req ID: phone_number

Job Summary

We are currently seeking a Data Platform Modernization Engineer - Junior (Databricks) to join our team in Bangalore, Karntaka, India.

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.

Basic Qualifications

- 36 years of experience in data engineering, ETL development or application/data platform development.
- Hands-on experience with Databricks and Apache Spark.
- Solid development skills in Python/PySpark and SQL.
- Experience with:
- Databricks notebooks
- Spark SQL / Databricks SQL
- Delta Lake
- 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.

Nice to Have

- Databricks certification.
- Experience with 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.

📌 Data Platform Modernization Engineer - Junior (Databricks) (Bengaluru)
🏢 NTT DATA Business Solutions
📍 Bengaluru