ReNew is Hiring Fresher Junior Data Engineer

ReNew is hiring a Junior Data Engineer for freshers and early-career professionals (0–1 years). This role is perfect for candidates interested in data engineering, cloud platforms, big data technologies, and building scalable data pipelines.

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Job Details

Company: ReNew

Role: Junior Data Engineer

Location: Gurugram, India

Experience: 0 – 1 Years

Qualification: Bachelor’s Degree in Computer Science / IT / Engineering or related field

Employment Type: Full-Time

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Key Skills Required

- Python programming (data processing & automation)

- ETL / ELT pipeline concepts

- Apache Spark / Spark SQL (basic knowledge)

- Kafka / streaming concepts (basic)

- Data warehousing tools (Hive or similar)

- Cloud platforms (Microsoft Azure preferred)

- Git version control

- Understanding of distributed data systems

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Roles & Responsibilities

- Assist in building ETL/ELT data pipelines

- Support data lake and data warehouse development

- Optimize and automate data workflows

- Identify data quality and performance issues

- Develop reusable data processing code

- Work with data scientists for ML data pipelines

- Participate in Agile development processes

- Collaborate with cross-functional teams

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What We Offer

- Opportunity to work in a leading renewable energy company

- Exposure to modern data engineering tools

- Hands-on experience with cloud and big data technologies

- Career growth in data engineering and analytics

- Work on impactful projects contributing to sustainability

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About Company

ReNew is one of India’s leading renewable energy companies, focused on solar, wind, and sustainable energy solutions, contributing significantly to reducing carbon emissions and supporting clean energy initiatives.

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Recommended Certifications (Based on Job Description)

- Microsoft Azure Data Engineer Associate

- Python for Data Engineering Certification

- Apache Spark Certification

- Data Engineering / Big Data Certification

- SQL & Data Warehousing Certification

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Frequently Asked Questions (Interview Preparation)

1. What is ETL?

Extract, Transform, Load process for data pipelines.

2. What is Apache Spark?

A big data processing framework.

3. What is Kafka?

A distributed streaming platform.

4. What is data warehouse?

A system for storing structured data for analysis.

5. What is data lake?

Storage for structured and unstructured data.

6. What is Python used for in data engineering?

Data processing and automation.

7. What is Azure?

Microsoft’s cloud computing platform.

8. What is Git?

Version control system for code management.

9. What is distributed computing?

Processing data across multiple systems.

10. Why data engineering?

To build systems that enable data-driven decisions.

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How to Apply

Interested and eligible candidates should apply online as soon as possible.

ReNew is looking for candidates with strong fundamentals in data engineering, problem-solving skills, and willingness to learn cloud technologies.

Apply using below link