Data Platform Modernization Engineer - Junior (Databricks)

NTT DATA North America; Bengaluru Urban; On-site; INR 1,200,000 - 1,800,000; Full time

Job summary

NTT DATA in Bengaluru is seeking a Data Platform Modernization Engineer – Junior (Databricks) to migrate ETL workloads to the Databricks Lakehouse, develop notebooks, and implement Bronze-Silver-Gold processing layers.

You will work with PySpark, Spark SQL, Delta Lake, and Databricks Jobs/Workflows, participate in code reviews, validate migrations, and document production deployment processes.

Qualifications

• 3–6 years of experience in data engineering, ETL development or data platform development.
• Hands-on experience with Databricks and Apache Spark.
• Strong Python/PySpark and SQL development skills.
• Experience creating batch or incremental ETL/ELT pipelines.
• Experience with Informatica PowerCenter, AWS Glue or SSIS.
• Experience with relational databases and SQL-based processing.
• Bachelor's degree in Computer Science, Information Technology or Engineering.

Responsibilities

• Analyze Informatica workflows, mappings and AWS Glue jobs to understand source-to-target mappings.
• Develop Databricks notebooks and data pipelines to migrate 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 architecture and coding patterns.
• Develop batch and incremental processing pipelines using Delta Lake.
• Develop and maintain Databricks Jobs/Workflows and Lakeflow Declarative Pipelines.
• Convert Informatica transformations into Databricks implementations while preserving business logic.
• Support migration of AWS Glue jobs and database-based processing into Databricks.
• Perform unit testing and data reconciliation for migrated pipelines.
• Investigate and resolve data, SQL, PySpark and pipeline issues.
• Support integration testing, regression testing, UAT and production validation.
• Work with senior developers and technical leads to resolve issues and dependencies.
• Follow established coding standards and participate in code reviews.
• Prepare technical documentation and knowledge transfer for migrated workloads.
• Support deployment, monitoring, production stabilization and cutover activities.

Skills

Databricks

Apache Spark

Python/PySpark

SQL

Delta Lake

Databricks Jobs/Workflows

Lakehouse Architecture

ETL development

Informatica PowerCenter

AWS Glue

Education

Bachelor's degree in Computer Science, Information Technology, Engineering or equivalent experience

Tools

Databricks notebooks

Spark SQL

Databricks SQL

Delta Live Tables

Lakeflow Declarative Pipelines

Unity Catalog

Informatica PowerCenter

AWS Glue

AWS S3

Job description

Req ID: 387790

NTT DATA strives to hire exceptional, innovative and passionate individuals who want to grow with us. If you want to be part of an inclusive, adaptable, and forward-thinking organization,

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

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

• 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:
• 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 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.

NTT DATA is a $30 billion business and technology services leader, serving 75% of the Fortune Global 100. We are committed to accelerating client success and positively impacting society through responsible innovation. We are one of the world's leading AI and digital infrastructure providers, with unmatched capabilities in enterprise-scale AI, cloud, security, connectivity, data centers and application services. our consulting and Industry solutions help organizations and society move confidently and sustainably into the digital future. As a Global Top Employer, we have experts in more than 50 countries. We also offer clients access to a robust ecosystem of innovation centers as well as established and start-up partners. NTT DATA is a part of NTT Group, which invests over $3 billion each year in R&D.

Whenever possible, we hire locally to NTT DATA offices or client sites. This ensures we can provide timely and effective support tailored to each client’s needs. While many positions offer remote or hybrid work options, these arrangements are subject to change based on client requirements. For employees near an NTT DATA office or client site, in-office attendance may be required for meetings or events, depending on business needs. At NTT DATA, we are committed to staying flexible and meeting the evolving needs of both our clients and employees.

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