Data Platform Modernization Engineer - Junior (Databricks)

NTT DATA BUSINESS SOLUTIONS; Bengaluru; On-site; INR 1,200,000 - 1,800,000; Full time

Job summary

NTT DATA BUSINESS SOLUTIONS in Bengaluru is seeking a Data Platform Modernization Engineer - Junior (Databricks) to join our data engineering team. The role focuses on migrating existing ETL workloads to the Databricks Lakehouse and developing Databricks notebooks and data pipelines.

You will transform Informatica-based logic to Databricks, build batch and incremental pipelines with Delta Lake, and ensure data quality and testing across migrations.

Qualifications

• 36 years of experience in data engineering, ETL development or application/data platform development.

Responsibilities

• Analyze source-to-target mappings and transformation logic in existing Informatica workflows.
• Migrate ETL workloads to the Databricks Lakehouse by developing notebooks and data pipelines.
• Convert Informatica transformations and rules into Databricks implementations while preserving business logic.
• Develop batch and incremental ETL/ELT pipelines using Delta Lake.
• Develop and manage Databricks Jobs/Workflows and Lakeflow Declarative Pipelines.

Skills

Databricks

Apache Spark

Python

PySpark

SQL

Unit testing

Data validation

Troubleshooting

Bronze/Silver/Gold data layers

Development framework

Education

Bachelor's degree in Computer Science/IT/Engineering

Tools

Informatica PowerCenter

AWS Glue

SSIS

Job description

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.
• Strong 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.