Junior Data Engineer

About Company

Founded in 2011, ReNew, is one of the largest renewable energy companies globally, with a leadership position in India. Listed on Nasdaq under the ticker RNW, ReNew develops, builds, owns, and operates utility-scale wind energy projects, utility-scale solar energy projects, utility-scale firm power projects, and distributed solar energy projects. In addition to being a major independent power producer in India, ReNew is evolving to become an end-to-end decarbonization partner providing solutions in a just and inclusive manner in the areas of clean energy, green hydrogen, value-added energy offerings through digitalisation, storage, and carbon markets that increasingly are integral to addressing climate change. With a total capacity of more than 13.4 GW (including projects in pipeline), ReNew’s solar and wind energy projects are spread across 150+ sites, with a presence spanning 18 states in India, contributing to 1.9 % of India’s power capacity. Consequently, this has helped to avoid 0.5% of India’s total carbon emissions and 1.1% India’s total power sector emissions. In the over 10 years of its operation, ReNew has generated almost 1.3 lakh jobs, directly and indirectly. ReNew has achieved market leadership in the Indian renewable energy industry against the backdrop of the Government of India’s policies to promote growth of this sector. ReNew’s current group of stockholders contains several marquee investors including CPP Investments, Abu Dhabi Investment Authority, Goldman Sachs, GEF SACEF and JERA. Its mission is to play a pivotal role in meeting India’s growing energy needs in an efficient, sustainable, and socially responsible manner. ReNew stands committed to providing clean, safe, affordable, and sustainable energy for all and has been at the forefront of leading climate action in India.

Job Description

Job Title: Junior Data EngineerLocation: Gurugram

Experience: 0–1 Years

Employment Type: Full-Time

Job OverviewWe are looking for a Junior Data Engineer to join our ReD team in Gurugram. This role is ideal for fresh graduates or early-career professionals (0–1 years) who are eager to build scalable, cloud-based data solutions and gain hands-on experience working with modern data engineering tools and frameworks.

You will work closely with data architects, data scientists, and business stakeholders to design, build, and maintain data pipelines that support analytics and data-driven decision-making.

Key Responsibilities

Understand and assist in developing ETL/ELT pipelines following industry best practicesSupport the design and implementation of data lakes and data warehouses for analytical use cases

Work with senior engineers to optimize existing data pipelines and automate manual processes

Assist in diagnosing existing data architecture and help identify data quality and performance gaps

Develop, test, and maintain modular and reusable data processing code

Collaborate with data scientists to enable reliable data pipelines for machine learning models

Participate in Agile ceremonies such as sprint planning, stand-ups, and retrospectives

Interact with cross-functional teams, including technology and business users, to understand data requirements

Technical Requirements

0–1 years of experience or strong academic/project background in data engineeringProficiency in Python for data processing and automation

Basic understanding of distributed data processing concepts

Exposure To Or Foundational Knowledge Of:

Apache Spark / Spark SQLKafka or streaming concepts (basic understanding is sufficient)

Hive or similar data warehousing tools

Familiarity with cloud platforms, preferably Microsoft Azure

Hands-on or academic exposure to Azure services

Basic understanding of Git version control

Exposure To Or Foundational Knowledge Of:

Apache Spark / Spark SQLKafka or streaming concepts (basic understanding is sufficient)

Hive or similar data warehousing tools

Familiarity with cloud platforms, preferably Microsoft Azure

Hands-on or academic exposure to Azure services

Basic understanding of Git version control