Data Engineer

Role : Data Engineer

Location : Gurgaon / Bangalore / Mumbai

Years of Experience : 5-12 Years

Must Have : SQL Spark Spark sql spark streaming Scala / Python Azure / AWS Kafka

Good to Have : NoSQL (Mongo / Cassandra) Neo4J Prometheus Flink Iceberg

Company Overview

Jio stands at the forefront of Indias telecom industry boasting over 400 million customers. Beyond telecom Jio powers a vast array of digital apps and services offering solutions for both B2C and B2B markets. With cutting-edge technology including 5G solutions AI / ML platforms cloud-native systems and BSS solutions Jio revolutionizes media and telecommunications. Headquartered in Navi Mumbai Maharashtra Jio operates with more than 10001 employees across India. For more information visit Jio Platforms.

Job Overview

Jio is seeking a skilled Data Engineer for a Mid-Level position based in Bangalore Mumbai or Gurgaon. This full-time role involves designing building and maintaining scalable data pipelines and systems. The ideal candidate will have a strong background in data technologies and platforms contributing to advanced data solutions and AI-driven insights across Jios telecom and digital service frameworks.

Qualifications and Skills

• Proficiency in SQL (Mandatory skill) : Essential for querying manipulating and analyzing data within relational databases.
• Experience with spark streaming (Mandatory skill) : Crucial for processing real-time data streams efficiently within big data solutions.
• Understanding of NoSQL databases (Mandatory skill) : Vital for handling unstructured or semi-structured data formats in data-intensive applications.
• Experience in Spark : Key for large-scale data processing and analytical tasks within Jios extensive data ecosystem.
• Proficiency in Spark SQL : Important for leveraging Sparks SQL interface to perform complex analytical queries effectively.
• Familiarity with Azure : Necessary for managing data solutions and storage within Microsofts cloud environment.
• Understanding of AWS : Essential for leveraging Amazons cloud services for scalable data storage and processing solutions.
• Experience with Kafka : Important for building real-time data pipelines and streaming applications.

Roles and Responsibilities

Required Experience :

Manager

Key Skills

Apache Hive,S3,Hadoop,Redshift,Spark,AWS,Apache Pig,NoSQL,Big Data,Data Warehouse,Kafka,Scala

Employment Type : Full-Time

Experience : years

Vacancy : 1