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Data Engineer - Lead

About the organization

ReNew Power Limited is India’s largest renewable energy IPP (Independent Power Producer) with a capacity of over 8,000 MW of wind and solar power assets across the country. It develops, builds, owns, and operates utility-scale wind and solar energy projects as well as distributed solar energy projects that generate energy for commercial and industrial customers.

ReNew has a strong track record of organic and inorganic growth having nearly doubled its operational capacity in each of the last three Fiscal Years. ReNew’s a broad base of equity investors include Goldman Sachs, JERA, ADIA, CPPIB, ADB (subsequently exited) and GEF SACEF India and have invested a total of over INR 66.9 billion in the company in various tranches over the years.

Job Purpose

ReNew Power is World’s first renewable energy company to be recognized as a Lighthouse by World Economic Forum. The company has been recognized for the adoption of 4 IR technologies to achieve growth that is not only profitable but also sustainable. ReNew Digital (“ReD.”) has been instrumental in this. ReD. consistently work towards the development of new advance analytic, AI and machine learning models that could lead to tangible business value to the organization.

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, and ensure security and maintenance. Your role involves the diagnosis of existing architecture and data maturity and helping the organization in identifying gaps and possible solutions. You will also work with data scientists and business leaders to develop data pipelines for data science models. Your work will involve a high level of interface with business heads and corporate leadership.

Profile & Eligible Criteria

2 to 5 years of demonstrable experience designing technological solutions to complex data problems, developing & testing modular, reusable, efficient, and scalable code to implement those solutions

  • Understand, implement, and automate ETL pipelines with better industry standards
  • Identify, design, and implement internal process improvements: automating manual processes, optimizing data delivery, designing infrastructure for greater scalability, etc
  • Developing, integrating, testing, and maintaining existing and new applications
  • Design, and create data pipelines (data lake/data warehouses) for real-world energy analytical solutions
  • Expert-level proficiency in Python (preferred) for automating everyday tasks
  • Strong understanding and experience in distributed computing frameworks, particularly Spark, Spark-SQL, Kafka, Spark Streaming, Hive, Azure Databricks, etc
  • Limited experience in using other leading cloud platforms preferably Azure.
  • Hands-on experience on Azure data factory, logic app, Analysis service, Azure blob storage, etc.
  • Ability to work in a team in an agile setting, familiarity with JIRA, and a clear understanding of how Git works
  • Bachelor's degree in Computer Science, Engineering, Mathematics or Statistics
  • Master's degree preferred

Main Interfaces

1. The role would require extensive internal interfacing with a tech lead, senior data scientists, and business leadership.

gurugram, UP, IN