Senior Data Engineer

7018 Jiostar India Private Limited; Maharashtra; On-site; INR 1,400,000 - 2,100,000; Full time

Job summary

JioStar India Private Limited is seeking a Data Engineer to design, build, and maintain scalable data pipelines and platforms to support analytics, reporting, and downstream applications. The role covers ingestion, processing, storage and consumption with a strong emphasis on data quality and operational stability.

The Data Platform Team works with analytics, business, and platform teams to enable timely, accurate data availability across multiple use cases.

Qualifications

• Bachelor's or Master's degree in Computer Science, Engineering, Mathematics, or related field.
• 5-7 years of hands-on data engineering/big data experience.
• Experience in complex, large-scale data environments.

Responsibilities

• Design, develop, and maintain batch and near real-time data pipelines.
• Implement and manage ETL/ELT workflows and data transformations.
• Build and optimize scalable data processing using distributed frameworks like Spark.
• Develop datasets for analytics, dashboards, and reporting.
• Monitor pipeline performance, data freshness, and reliability; resolve issues.
• Collaborate with stakeholders to translate data requirements into technical solutions.
• Ensure data governance, security, and engineering best practices.

Skills

Data engineering

SQL

Python

Spark

GCP

Data pipelines

Education

Bachelor's degree in Computer Science/Engineering

Master's degree in related field

Tools

Google Cloud Storage

BigQuery

Dataproc / Dataflow

Pub/Sub

Job 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: 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), 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

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 India Private Limited (formerly known as Star India Private Limited) 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.