Lead Data Engineer

DATA ENGINEER

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 modelling 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 About the role

Job Title: Data Engineer

Department/Business: Analytics COE

Location: Mumbai,

Experience: 6 to 10 years of Experience

Qualifications and Skills

 Proficiency in kafka (Mandatory skill), a crucial tool for building real-time data pipelines and streaming apps to ensure swift and reliable data flow.

 In-depth knowledge of spark (Mandatory skill) for handling large-scale data processing with ease, enabling the efficient analysis of vast datasets.

Experience with hadoop (Mandatory skill) is essential, as it provides the backbone for distributed storage and processing of large data sets.

Strong understanding of Big Data Technologies, allowing crafting of solutions that handle volume, velocity, and variety of enterprise data efficiently.

 Expertise in on-premise deployment to ensure data solutions are securely and seamlessly integrated within Jio's infrastructure.

 Proficiency in MongoDB, facilitating flexible and scalable database solutions tailored to dynamic data storage needs.

 Skilled in SQL for data manipulation, querying, and management of relational database systems, ensuring data integrity and efficiency.

 Advanced knowledge of python to design, develop, and deploy data-centric applications, enabling robust data analysis and automation.

Roles and Responsibilities

      Lead the design and development of our data engineering infrastructure, focusing on scalability, reliability, and performance.

      Collaborate with cross-functional teams to implement and manage end-to-end data pipelines and integrations.

      Optimize data architectures and data models to meet business objectives and improve system performance.

      Ensure data accuracy, availability, and security through effective data governance and compliance with industry standards.

      Mentor and guide junior data engineers, fostering an environment of continuous learning and innovation.

      Identify, evaluate, and implement emerging data technologies to enhance our platform capabilities and address industry challenges.

      Monitor and troubleshoot data engineering solutions to maintain smooth operations and achieve high service availability.

      Provide technical expertise and strategic insights to support decision-making processes and data-driven strategies at Jio.

Desired Skills & Attributes:

Problem-Solving & 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 up-to-date with emerging data technologies and a willingness to adapt to new tools.