Senior Data Engineer
Senior Data Engineer
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Job Description
Overview of the Company:
Jio Platforms Ltd. is a revolutionary Indian multinational tech company often referred to as Indias biggest startup headquartered in Mumbai. Launched in 2019 its the powerhouse behind Jio Indias largest mobile network with over 400 million users. But Jio Platforms is more than just telecom. Its a comprehensive digital ecosystem developing cuttingedge solutions across media entertainment and enterprise services through popular brands like JioMart JioFiber and JioSaavn.
Join us at Jio Platforms and be part of a fastpaced dynamic environment at the forefront of Indias digital transformation. Collaborate with brilliant minds to develop nextgen solutions that empower millions and revolutionize industries.
Team Overview:
The Data Platforms Team is the launchpad for a datadriven future empowering the Reliance Group of Companies. Were a passionate group of experts architecting an enterprisescale data mesh to unlock the power of big data generative AI and ML modelling across various domains. We dont just manage data we transform it into intelligent actions that fuel strategic decisionmaking. Imagine crafting a platform that automates data flow fuels intelligent insights and empowers the organization thats what we do.
Join our collaborative and innovative team and be a part of shaping the future of data for Indias biggest digital revolution! About the role.
Title:Lead Data Engineer
Location: Mumbai
Responsibilities:
- EndtoEnd Data Pipeline Development: Design build optimize and maintain robust data pipelines across cloud onpremises or hybrid environments ensuring performance scalability and seamless data flow.
- Reusable Components & Frameworks: Develop reusable data pipeline components and contribute to the teams data pipeline framework evolution.
- Data Architecture & Solutions: Contribute to data architecture design applying data modelling storage and retrieval expertise.
- Data Governance & Automation: Champion data integrity security and efficiency through metadata management automation and data governance best practices.
- Collaborative Problem Solving: Partner with stakeholders data teams and engineers to define requirements troubleshoot optimize and deliver datadriven insights.
- Mentorship & Knowledge Transfer: Guide and mentor junior data engineers fostering knowledge sharing and professional growth.
Qualification Details:
- Education: Bachelors degree or higher in Computer Science Data Science Engineering or a related technical field.
- Core Programming: Excellent command of a primary data engineering language (Scala Python or Java) with a strong foundation in OOPS and functional programming concepts.
- Big Data Technologies: Handson experience with data processing frameworks (e.g. Hadoop Spark Apache Hive NiFi Ozone Kudu) ideally including streaming technologies (Kafka Spark Streaming Flink etc..
- Database Expertise: Excellent querying skills (SQL) and strong understanding of relational databases (e.g. MySQL PostgreSQL). Experience with NoSQL databases (e.g. MongoDB Cassandra) is a plus.
- EndtoEnd Pipelines: Demonstrated experience in implementing optimizing and maintaining complete data pipelines integrating varied sources and sinks including streaming realtime data.
- Cloud Expertise: Knowledge of Cloud Technologies like Azure HDInsights Synapse EventHub and GCP DataProc Dataflow BigQuery.
- CI/CD Expertise: Experience with CI/CD methodologies and tools including strong Linux and shell scripting skills for automation.
Desired Skills & Attributes:
- ProblemSolving & Troubleshooting: Proven ability to analyze and solve complex data problems troubleshoot data pipeline issues effectively.
- Communication & Collaboration: Excellent communication skills both written and verbal with the ability to collaborate across teams (data scientists engineers stakeholders).
- Continuous Learning & Adaptability: A demonstrated passion for staying uptodate with emerging data technologies and a willingness to adapt to new tools.
Required Experience:
Senior IC
Employment Type
Full-Time
