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 JioStars business systems team where youll build scalable platforms that empower data-driven campaign decisions across TV and Digital channels. Youll 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. Were solving complex problems at massive scaleenabling clarity on user adoption patterns by gender economic class and geographyso our business teams can make informed decisions on content strategy and revenue optimisation. If youre 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 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:
- Bachelors or Masters degree in Computer Science Engineering Mathematics or a related field (or equivalent practical experience)
- 45 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.
Required Experience:
Senior IC
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 ...
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 JioStars business systems team where youll build scalable platforms that empower data-driven campaign decisions across TV and Digital channels. Youll 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. Were solving complex problems at massive scaleenabling clarity on user adoption patterns by gender economic class and geographyso our business teams can make informed decisions on content strategy and revenue optimisation. If youre 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 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:
- Bachelors or Masters degree in Computer Science Engineering Mathematics or a related field (or equivalent practical experience)
- 45 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.
Required Experience:
Senior IC
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