Databricks Engineer

NTT DATA, Inc.; Bengaluru; On-site; INR 1,200,000 - 2,200,000; Full time

Job summary

NTT DATA in Bengaluru, Karnataka, India seeks a Databricks Engineer to execute migration tasks under the guidance of senior engineers. The role covers conversion, validation, testing, and documentation for migrated Snowflake workloads on Databricks, with collaboration across QA, architecture, and release teams.

The candidate will support deployment activities in SIT/QA/PROD and prepare transition artifacts for assigned workloads, contributing to a structured delivery process and ensuring data

Qualifications

• Experience with SQL, Python, Databricks, Snowflake, Delta Lake, and data pipeline development.
• Ability to follow migration standards and document results.
• Experience in testing, validation, and collaboration with QA and release teams.

Responsibilities

• Support conversion and implementation of data pipelines and workloads in Databricks.
• Perform data validation and parity checks between Snowflake and Databricks outputs.
• Execute unit and integration testing for migrated jobs and data flows.
• Investigate data mismatches and defects during validation cycles.
• Assist deployment across SIT, QA, and PROD environments under change control.
• Prepare documentation and transition artifacts for workloads.

Skills

SQL

Python

Databricks

Snowflake

Delta Lake

Git

Tools

Git

Job description

We are currently seeking a Databricks Engineer to join our team in Bangalore, Karnataka (IN-KA), India (IN).

Role Summary

The Data Engineer / Databricks Migration Developer will execute assigned migration tasks under the guidance of the Senior Data Engineer and Databricks Solution Architect. The role will support conversion, implementation, unit testing, data validation, defect fixing, deployment preparation, and technical documentation for migrated Snowflake workloads on Databricks.

Responsibilities

• Support conversion and implementation of assigned data pipelines, jobs, scripts, and workload components in Databricks.
• Perform data validation, reconciliation, and parity checks between Snowflake and Databricks outputs.
• Execute unit-level and integration-level testing for migrated jobs, transformations, and data flows.
• Investigate data mismatches, execution failures, dependency issues, and functional defects identified during validation cycles.
• Support deployment activities across SIT, QA, and PROD environments under the approved release and change window process.
• Work with Senior Data Engineers, QA Analysts, and the Databricks Architect to resolve conversion and validation issues.
• Prepare technical documentation, test evidence, reconciliation notes, and transition artifacts for assigned workloads.

Required Skills and Experience

Experience with SQL, Python, Databricks, Snowflake, Delta Lake, data pipeline development, job monitoring, data validation, reconciliation, Git, unit testing, defect triage, and cloud data engineering delivery. Ability to follow migration standards, document results, and collaborate with QA, architecture, and release teams in a structured delivery environment.

EEO & Employment

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. For EEO Policy Statement, please click here. For Pay Transparency information, please click here.