Skills:
Data Engineering, Azure, Onpremise, HDInsight, Cloudera, Hadoop, Spark,
Overview Of The Company
Jio Platforms Ltd. is a revolutionary Indian multinational tech company, often referred to as India's biggest startup, headquartered in Mumbai. Launched in 2019, it's the powerhouse behind Jio, India's largest mobile network with over 400 million users. But Jio Platforms is more than just telecom. It's a comprehensive digital ecosystem, developing cutting-edge 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 fast-paced, dynamic environment at the forefront of India's digital transformation. Collaborate with brilliant minds to develop next-gen solutions that empower millions and revolutionize industries.
Team Overview
The Data Platforms Team is the launchpad for a data-driven future, empowering the Reliance Group of Companies. We're a passionate group of experts architecting an enterprise-scale data mesh to unlock the power of big data, generative AI, and ML modeling across various domains. We don't just manage data - we transform it into intelligent actions that fuel strategic decision-making. Imagine crafting a platform that automates data flow, fuels intelligent insights, and empowers the organization - that's what we do.
Join our collaborative and innovative team and be a part of shaping the future of data for India's biggest digital revolution!
Department/Business
Analytics COE
Location:
Navi Mumbai, Gurgaon & Bangalore
Experience
6 to 9 years of Experience
Position
Lead Azure Data Engineer
Remote/On-site/Hybrid
On - Site
Desired Skills & Attributes
- Proven ability to analyze and solve complex data problems, and troubleshoot data pipeline issues effectively
- Excellent communication skills, both written and verbal, with the ability to collaborate across teams (data scientists, engineers, stakeholders)
- A demonstrated passion for staying up-to-date with emerging data technologies and a willingness to adapt to new tools
Qualification Details
- Education: Bachelor's degree or higher in Computer Science, Data Science, Engineering, or a related technical field
- 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: Hands-on 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 a strong understanding of relational databases (e.g., MySQL, PostgreSQL). Experience with NoSQL databases (e.g., MongoDB, Cassandra) is a plus
- End-to-End Pipelines: Demonstrated experience in implementing, optimizing, and maintaining complete data pipelines, integrating varied sources and sinks including streaming real-time 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
