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 Responsibilities

As a Data Engineer in ReD., you will help in developing high performance & high scalability enterprise applications using one or more leading cloud platforms across SaaS and PaaS. You will be working closely with the data architects to jointly develop the data architecture, ensure security and maintenance. Your role involves diagnosis of existing architecture and data maturity and help the organization in identifying gaps and possible solutions. You will also work with data scientists and business leadership to develop data pipelines for data science models. Your work will involve high level of interface with business heads and corporate leadership

 

Profile & Eligible Criteria

Understanding of how to design technological solutions to complex data problems, developing & testing modular, reusable, efficient and scalable code to implement those solutions

1. Understand, implement, and automate ETL pipelines with better industry standards
2. Identify, design, and implement internal process improvements: automating manual processes, optimizing data delivery, design infrastructure for greater scalability, etc.
3. Developing, integrating, testing, and maintaining existing and new applications
4. Design, and create data pipelines (data lake / data warehouses) for real world energy analytical solutions
5. 2-5 years of experience with expert-level proficiency in Python (preferred) for automating everyday tasks
6. Strong understanding and experience in distributed computing frameworks, particularly Spark, Spark-SQL, Kafka, Spark Streaming, Hive, Azure Databricks etc
7. Experience in using other leading cloud platforms preferably Azure.
8. Hands on experience on Azure data factory, logic app, Analysis service, Azure blob storage etc.
9. Ability to work in a team in an agile setting, familiarity with JIRA and clear understanding of how Git works
10. Understanding of Devops is a plus