Jiostar

Senior Software Development Engineer - Data Engineer

India · Work style not stated · Full time

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About the role

Description from the employer’s posting. Check the employer’s page for the current version.

EmployerJiostar
LocationIndia
Work styleWork style not stated
Employment typeFull time
Employer posted1 Oct 2026

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 datadriven 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 highperformance systems that drive business impact at billion-user scale, join us

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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, E TL/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), including components such

as Google Cloud Storage (GCS), BigQuery, 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 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.

If you would like more information about how your data is processed, please contact us.

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