JioStar

Senior Software Development Engineer - Data Engineer

JioStar Mumbai City, Maharashtra, India

Entertainment Providers · 5,001-10,000 employees

Oct 01
data-engineer Senior (5-10 yrs) Full-time India
Create a free account to apply — email only, no card. You can also save this posting or score it against your profile with AI.

About the role

The Data Engineer will design, build, and maintain scalable data pipelines and platforms to support analytics and downstream applications. They will work across the data lifecycle, ensuring data quality, performance, and operational stability while collaborating with business stakeholders.

What they look for

Data Engineering Apache Spark Google Cloud Platform BigQuery Python SQL Data Pipelines ETL ELT Distributed Systems Data Modeling Data Governance Dataproc Dataflow Pub/Sub Performance Optimization

Requirements

Candidates should have 5-7 years of experience in data engineering with strong proficiency in Python, SQL, and distributed computing frameworks like Apache Spark. A bachelor's or master's degree in a technical field is preferred, along with hands-on experience in Google Cloud Platform environments.

Full description

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.

Similar roles