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:
Join JioStar's business systems team, where you'll build scalable platforms that empower data-driven campaign decisions across TV and Digital channels. You'll work on systems that help business users optimise advertiser coverage, maximise viewership reach through TVR/Digital impressions, and analyse how users adopt micro-content across demographic and geographic cohorts. We're solving complex problems at massive scale—enabling clarity on user adoption patterns by gender, economic class, and geography—so our business teams can make informed decisions on content strategy and revenue optimisation. If you're passionate about building high-performance systems that drive business impact at billion-user scale, join us
Key responsibilities:Design, develop, and maintain batch and near real-time data pipelines using modern data engineering frameworks and toolsImplement and manage data ingestion, ETL/ELT workflows, and data transformations from multiple internal and external data sourcesBuild and optimize scalable data processing solutions using distributed computing frameworks (e.g., Spark)Develop and manage datasets for analytics, dashboards, and reporting use casesMonitor pipeline performance, data freshness, and reliability; proactively identify and resolve issuesWork with stakeholders to understand data requirements and translate them into technical solutionsEnsure adherence to data governance, security, and best engineering practicesParticipate in code reviews, design discussions, and continuous improvement initiativesSkills and attributes for success:Strong experience with data engineering and data pipelining conceptsHands-on experience with distributed data processing frameworks such as Apache SparkExperience building data solutions on Google Cloud Platform (GCP), includingcomponents such as Google Cloud Storage (GCS), BigQuery, Dataproc / Dataflow, Pub/SubStrong SQL skills and experience working with large datasetsProficiency in Python (Java/Scala is a plus)Experience integrating data from multiple heterogeneous data sourcesSolid understanding of distributed systems, parallel processing, and performance optimizationPreferred education and experience:Bachelor’s or Master’s degree in Computer Science, Engineering, Mathematics, or a related field (or equivalent practical experience)4–5 years of hands-on experience in data engineering / big data rolesStrong experience working in complex, large-scale data environmentsAbout Us
Perched firmly at the nucleus of spellbinding content and innovative technology, JioStar 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.
Shared job