Senior Data Engineer

Take-Two Interactive

Quick summary

Work type: On-site
Location: Bengaluru, Karnataka, India
Posted: 2 days ago
Nearby: 41 roles within 25 mi

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Salary context

How this pay compares to similar roles

Similar $169k

$125k most similar roles pay here $224k

This listing doesn't post a salary. Most similar roles pay $135,000–$202,796.

Based on 240 similar postings.

Employer

About Take-Two Interactive

Take-Two Interactive is a leading global publisher and developer of interactive entertainment, responsible for acclaimed franchises including Grand Theft Auto, Red Dead Redemption, NBA 2K, and BioShock through its labels Rockstar Games, 2K, and Private Division.

Take-Two Interactive currently has 14 open roles on FindRole.

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At a glance

TL;DR · Senior Data Engineer

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Join our Data Engineering team as a Senior Data Engineer in Bengaluru, where you will design and maintain scalable data pipelines using Python and PySpark. You’ll develop API-based ETL processes, build semantic layers, and ensure data quality through rigorous validation and monitoring frameworks. Key responsibilities include collaborating with business teams to understand requirements, implementing continuous integration practices with Jenkins and Docker, and defining alerting policies for data solutions. Ideal candidates have 5+ years of Python experience, 4+ years in Databricks, and proficiency in AWS and advanced SQL queries. Expertise in front-end technologies like React.js is a plus. This role demands hands-on technical skills and the ability to work in a fast-paced environment while contributing to the company’s innovative culture.

Skills

Python PySpark Databricks AWS SQL Jenkins Docker Git React Js Node Angular Vue.js jQuery Agile methodologies

What you'll do

Design and maintain high-capacity data pipelines.
Develop API-based ETL/ELT processes for raw data collection from multiple sources.
Build and curate datasets to support KPIs and data quality monitoring.
Establish semantic layers, data validation, lineage tracking, and performance-monitoring frameworks.
Provide thought leadership in scaling architecture to meet future needs.

What we're looking for

5+ years of hands-on experience in Python and PySpark development.
4+ years of experience with Databricks for data engineering tasks.
Expertise in designing, developing, and maintaining scalable data pipelines.
Proficient in advanced SQL queries and ETL/ELT processes using APIs.
Experience working in AWS environment and implementing CI/CD practices.

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