Senior Spark/Scala Tech Lead – AI Data Platforms

3409 Genpact LLC; New York (NY); Hybrid; USD 80,000 - 100,000; Full time

Job summary

Genpact Sr. Tech Lead - Application Development N is a leadership role focused on building and deploying data-driven applications using Spark and Scala.

You will collaborate across teams to translate data requirements into efficient solutions, implement robust deployment practices, and ensure reliable production performance in a fast-moving, AI-driven environment. Ideal candidates bring strong Scala and Spark expertise, plus SQL proficiency, with experience in Agile delivery and DevOps

Qualifications

• Bachelors in Computer Engineering, Computer Science or IT.
• Masters in Software Engineering is a plus.
• Oracle Certified Professional certification is beneficial.

Responsibilities

• Develop and maintain data processing apps using Spark and Scala.
• Collaborate with cross-functional teams to design data solutions.
• Implement test-driven deployment practices to improve reliability.
• Deploy artifacts across environments for smooth transitions.
• Troubleshoot Spark performance issues to optimize processing.
• Work in an Agile environment and contribute to sprint planning and delivery.
• Provide support for production batches to meet critical business needs.
• Proficiency in Scala and Spark; knowledge of SQL.

Skills

Scala programming

Spark

SQL

Python

DevOps

Agile

Problem solving

Education

Bachelors in Computer Engineering

Bachelors in Computer Science

Bachelors in Information Technology

Masters in Software Engineering

Oracle Certified Professional

Tools

Databricks

Snowflake

CI/CD

Git

Job description

Genpact Sr. Tech Lead - Application Development N is a leadership role focused on building and deploying data-driven applications using Spark and Scala.

You will collaborate across teams to translate data requirements into efficient solutions, implement robust deployment practices, and ensure reliable production performance in a fast-moving, AI-driven environment. Ideal candidates bring strong Scala and Spark expertise, plus SQL proficiency, with experience in Agile delivery and DevOps