Junior Data Platform Modernization Engineer

NTT DATA Global Delivery Services Ltd; Bengaluru; On-site; INR 1,200,000 - 1,800,000; Full time

Job summary

NTT DATA is seeking a hands-on Data Engineer - Junior (Databricks) to support a major data platform modernization in Bangalore. You will migrate legacy workloads to Databricks, build scalable pipelines, and implement Bronze/Silver/Gold data layers while preserving business logic.

The ideal candidate has 3–6 years’ experience with Databricks, PySpark, Python and SQL, plus knowledge of ETL tooling like Informatica PowerCenter and AWS Glue.

Qualifications

• 3–6 years of experience in data engineering or ETL development.
• Hands‑on experience with Databricks and Apache Spark.
• Strong development skills in Python/PySpark and SQL.
• Experience with Databricks notebooks, Spark SQL, Delta Lake and Jobs.
• Experience with one or more ETL technologies (Informatica PowerCenter, AWS Glue, SSIS).
• Experience with relational databases and SQL-based processing.
• Understanding of data transformation, source-to-target mapping and ETL development.
• Experience with unit testing, data validation and troubleshooting.
• Bachelor's degree in CS/IT/Engineering.

Responsibilities

• Analyze and migrate Informatica/ETL workloads to Databricks-based pipelines.
• Develop Databricks notebooks and data pipelines for migration.
• Create data transformations using Python, PySpark and Spark SQL.
• Implement Bronze, Silver and Gold layer processing per architecture.
• Develop batch and incremental processing with Delta Lake and watermark controls.
• Maintain Databricks Jobs/Workflows and Lakeflow Declarative Pipelines.
• Reuse common logging, data quality, and error-handling frameworks.
• Prepare technical docs and support knowledge transfer.

Skills

Python

PySpark

SQL

Data pipelines

Unit testing

Problem solving

Communication

Education

Bachelor's degree in Computer Science/IT/Engineering

Tools

Databricks

Informatica PowerCenter

AWS Glue

SSIS

Delta Lake

Databricks Jobs/Workflows

Job description

Data Platform Modernization Engineer - Junior (Databricks)

NTT DATA strives to hire exceptional, innovative and passionate individuals who want to grow with us. We are currently seeking a Data Platform Modernization Engineer - Junior (Databricks) to join our team in Bangalore, Karnātaka (IN-KA), India (IN).

Data Engineer / Developer

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 strong 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.

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.

About NTT DATA

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.

NTT DATA is an equal opportunity employer. Qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability or protected veteran status.

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Experience Level Entry Level