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Senior Software Development Engineer - Data Engineer

Jiostar Open
Mumbai Full-time Senior Data Engineering

At a glance

Senior Data Engineering role at Jiostar. Mumbai · full-time.

Pay not stated Data Engineering salary

RoleData Engineering
SenioritySenior
LocationMumbai
EmploymentFull-time
PostedOct 1, 2026
Role brief

dataroles summary, based on the employer's posting.

What you'll do

  • Build batch and near-real-time pipelines, then keep them reliable as data moves through the lifecycle
  • Bring together internal and external sources, transform their data, and prepare datasets for analytics and reporting
  • Use distributed computing to process data at scale and improve pipeline speed and efficiency
  • Track freshness, performance, and reliability, resolving issues before they disrupt downstream use
  • Turn stakeholder data needs into technical solutions while following governance and security practices

What you bring

  • You have five to seven years of hands-on work in data engineering or big data roles
  • You have practical experience with Apache Spark and building data solutions on Google Cloud Platform
  • You bring strong SQL skills, Python proficiency, and experience handling large datasets from varied sources
  • A computer science, engineering, mathematics or related degree qualifies, as does equivalent practical experience

Who this fits

This suits a senior individual contributor who has built data systems for complex, large-scale environments. The role is based in Mumbai, India.

From the employer

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

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.

Opportunity

Data Engineering work from LinkedIn, X, Reddit and Upwork, in one list.

Each morning you get everything that fits, strongest first.

Data Engineering

Find me work

By the team behind dataroles.

Find me work
Opportunity

Data Engineering work from LinkedIn, X, Reddit and Upwork, in one list.

Each morning you get everything that fits, strongest first.

Find me work

By the team behind dataroles.