Data Engineer

Rockstar Games; Bengaluru; On-site; INR 1,800,000 - 3,200,000; Full time

Job summary

Rockstar Games in Bengaluru, India is seeking a Data Engineer to join our online services team, building an innovative game analytics platform and tools to understand players and enhance their experience across titles.

The role is a full-time, in-office position based in Rockstar’s large game development studio in Bangalore, India, collaborating on data pipelines, observability, and data products with Azure, Spark, and Python.

Qualifications

• 3+ years of experience building data pipelines and large-scale data platforms.
• Strong software engineering fundamentals with testing and code review.
• Experience with Spark or Databricks on cloud (Azure preferred).
• Proficient in Python for data engineering and big data processing.
• Experience with Airflow and streaming technologies (Kafka).
• Familiarity with cloud data services (AWS/Azure/GCP).

Responsibilities

• Design real-time and batch data pipelines in Azure Databricks using Spark, Airflow, and modern tooling.
• Drive engineering excellence with testing, code review, and CI/CD automation.
• Implement automated data quality frameworks and validate pipelines.
• Build observability systems to monitor data integrity, drift, and health; troubleshoot issues.
• Create analytics-ready datasets for BI and operational reporting.
• Collaborate with Data Scientists, Analysts, and ML Engineers to define use cases and data products.
• Translate large datasets into actionable insights for leadership and product teams.
• Support adoption of modern data platforms and scalable, cost-efficient architectures.

Skills

Distributed data pipelines

Python

Spark/Databricks

Airflow

Kafka

Cloud data services

CI/CD

Testing

Tools

Docker

Kubernetes

Terraform

Job description

At Rockstar Games, we create world-class entertainment experiences.

Become part of a team working on some of the most rewarding, large-scale creative projects to be found in any entertainment medium - all within an inclusive,highly motivatedenvironment where you can learn and collaborate with some of the most talented people in the industry.

Rockstar is seeking a Data Engineer to join our online services team, building an innovative game analytics platform and tools to better understand our players and enhance their experienceacrossourtitles.

This is a full-time, in-office position based in Rockstar’s large game development studio in Bangalore, India.

What We Do

• The Rockstar Games Data Engineering team provides insights and actionable results to a wide variety of teams across the organization in support of their decision making.
• We work with petabyte-scale data in Azure and Databricks, building both real-time and batch pipelines that power analytics, machine learning, and player experience improvements.

Responsibilities

• Design and buildreal-time and batchdata pipelines in Azure Databricks using Spark, Airflow, andmodern orchestration and build tools.
• Drive engineering excellence byimplementing robust testing practices(unit, integration), code review standards,andCI/CD automation.
• Implement automated data quality frameworks and validation of pipelines.
• Build observability systems to monitor data integrity, drift, and system health. Troubleshoot complex data infrastructure and pipeline issues.
• Design analytics-ready datasets that power business intelligence and operational reporting.
• Partner with diverse stakeholders (including Data Scientists, Analysts, and ML Engineers) to define use cases and build robust data products.
• Translate large datasets into actionable insights for leadership and product teams.
• Contribute to the evaluation and adoption of modern data platforms and distributed computing frameworks, assist in building proof-of-concept solutions, and support efforts to improve platform scalability, performance, and cost efficiency.

Requirements

• 3+years experience in building data pipelines, distributed systems, or large-scale data platforms on major clouds (Azure preferred).
• Strong software engineering fundamentals: design patterns, testing strategies (unit, integration) code review practices, system design thinking.
• Experience with big data frameworks such as Spark or Databricks.
• Experience using Python for maintainable, testable data engineering and Spark or Databricks for large scale processing.
• Experience with workflow orchestration tools such as Airflow.
• Experience with streaming technologies, notably Kafka, in distributed environments.
• Proven work handling high volume structured and unstructured data (logs, telemetry, text) at scale.
• Familiarity with AWS, Azure, or GCP data services and building cloud native data architectures.

PLUSES

• Databricks platform experience (Delta Lake, Unity Catalog, Workflows).
• Containerization and orchestration (Docker, Kubernetes).
• Experience with Snowflake, Cassandra, or other modern data platforms.
• Experience building, maintaining, or scaling ML infrastructure.
• Experience with CI/CD and deployment tools(TeamCity, Octopus)and Artifact Repositories (JFrog,Proget).
• Experience with Terraform.
• Gaming industry experience or passion for games.

Rockstar is committed to creating a work environment that promotes equal opportunity, dignity and respect.

In line with this commitment, Rockstar will provide reasonable accommodations to qualified job applicants with disabilities during the recruitment process in order for such applicants to be considered for the position for which they are applying, as well as to qualified employees to enable them to perform the essential functions of their roles.

If you need more information about Rockstar’s reasonable accommodation policies or process, or need to request an accommodation, please notify your recruiter during the interview process.

If you’ve got the right skills for the job, we want to hear from you. We encourage applications from all suitable candidates regardless of age, disability, gender identity, sexual orientation, religion, belief, race, or any other protected category.