Data Engineer

Rockstar; Bengaluru; On-site; INR 1,600,000 - 2,600,000; Full time

Job summary

Rockstar Games in Bengaluru, India seeks a Data Engineer to build an innovative game analytics platform, joining the online services team.

This full-time, in-office role focuses on real-time and batch data pipelines, data quality, and observability to improve player experience. Collaboration with Data Scientists, Analysts, and ML Engineers is central to delivering robust data products for leadership and product teams.

Qualifications

• 3+ years experience building data pipelines or large-scale data platforms on major clouds (Azure preferred).
• Strong software engineering fundamentals: design patterns, testing strategies, code review, CI/CD.
• Experience with Spark or Databricks and Python for large-scale processing.
• Experience with Airflow for workflow orchestration.
• Familiar with cloud data services (Azure/AWS/GCP) and building cloud-native architectures.

Responsibilities

• Design real-time and batch data pipelines in Azure Databricks using Spark and Airflow.
• Implement robust testing practices and CI/CD automation to raise engineering quality.
• Build automated data quality frameworks and validate pipelines.
• Develop observability systems to monitor data integrity and system health.

Skills

Python

Spark

Airflow

Databricks

Cloud computing

Tools

Docker

Kubernetes

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 motivated environment 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 experience across our titles.

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 build real-time and batch data pipelines in Azure Databricks using Spark, Airflow, and modern orchestration and build tools.


• Drive engineering excellence by implementing robust testing practices (unit, integration), code review standards, and CI/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

Please note that these are desirable skills and are not required to apply for the position.

• 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.

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