Senior Data Engineer

Job Summary:

The Data Engineer will be responsible for designing, building, and maintaining scalable and reliable data pipelines and data platforms to support analytics, reporting, and downstream applications. The role involves working across the entire data lifecycle - ingestion, processing, storage, and consumption with a strong focus on data quality, performance, and operational stability. The engineer will work closely with analytics teams, business stakeholders, and platform teams to enable timely and accurate data availability across multiple use cases.

About the team -  The Data Platform Team is a group of data engineers, analytics developers, and QA specialists building a scalable, low-latency data lakehouse that enables PRS, Finance, and Marketing teams to make data-driven decisions.
We process tens of millions of events every week and have designed a resilient, future-ready platform that scales with the organization’s growing analytical needs while ensuring high performance and reliability.

Key responsibilities:

Design, develop, and maintain batch and near real-time data pipelines using modern data engineering frameworks and tools
Implement and manage data ingestion, ETL/ELT workflows, and data transformations from multiple internal and external data sources
Build and optimize scalable data processing solutions using distributed computing frameworks (e.g., Spark)
Develop and manage datasets for analytics, dashboards, and reporting use cases
Monitor pipeline performance, data freshness, and reliability; proactively identify and resolve issues
Work with stakeholders to understand data requirements and translate them into technical solutions
Ensure adherence to data governance, security, and best engineering practices
Participate in code reviews, design discussions, and continuous improvement initiatives

Skills and attributes for success:
Strong experience with data engineering and data pipelining concepts
Hands-on experience with distributed data processing frameworks such as Apache Spark
Experience building data solutions on Google Cloud Platform (GCP), includingcomponents such as Google Cloud Storage (GCS), Big Query, Dataproc / Dataflow, Pub/Sub
Strong SQL skills and experience working with large datasets
Proficiency in Python (Java/Scala is a plus)
Experience integrating data from multiple heterogeneous data sources
Solid understanding of distributed systems, parallel processing, and performance optimization

Preferred education and experience:
Bachelor’s or Master’s degree in Computer Science, Engineering, Mathematics, or a related field (or equivalent practical experience)
5–7 years of hands-on experience in data engineering / big data roles
Strong experience working in complex, large-scale data environments

About Jio Star
Perched at the nucleus of spellbinding content and innovative technology, Jio Star is a leading global media & entertainment company that is reimagining the way audiences consume entertainment and sports. Its television network and streaming service together reach more than 750 million viewers every week, igniting the dreams and aspirations of hundreds of million people across geographies.

Jiostar is an equal opportunity employer. The company values diversity and its mission is to create a workplace where everyone can bring their authentic selves to work. The company ensures that the work environment is free from any discrimination against persons with disabilities, gender, gender identity and any other characteristics or status that is legally protected.