Data Engineer

Juniper Green Energy; Gurugram District; On-site; INR 800,000 - 1,200,000; Full time

Job summary

A renewable energy company based in Gurugram seeks a Data Engineer to design and implement scalable data architecture, ensuring optimization for renewable energy data. Responsibilities include establishing data governance frameworks, implementing efficient data models, and overseeing cloud platform setups. The ideal candidate holds a relevant degree and has 2-5 years of experience with cloud technologies and ETL processes. This full-time position leverages advanced analytics and fosters innovation.

Qualifications

• 2-5 years of experience in data architecture, data engineering, or related roles.
• Deep expertise in cloud platforms and big data technologies.
• Strong understanding of ETL/ELT processes and tools.

Responsibilities

• Design scalable and efficient data architecture for renewable energy data analytics.
• Establish data governance frameworks and improve data quality.
• Implement data models and schemas for renewable energy datasets.

Skills

Cloud platforms (AWS, Azure, or GCP)

Data modeling

ETL/ELT processes and tools

Data governance frameworks

Communication skills

Education

Bachelor's or Master’s degree in Computer Science, Data Engineering, Information Systems

Tools

Apache Spark

Hadoop

Apache Airflow

Job description

Direct message the job poster from Juniper Green Energy

Manager - Human Resources | Talent Acquisition Specialist | Strategic Growth | People Management

Job Title: Data Engineer

Department: Data Analytics

Location: Gurugram

About the Company:

We are amongst the top 10 largest renewable IPPs in India in terms of total capacity as of December 31, 2024. We develop, build, operate, and maintain projects through our in-house engineering, procurement, construction, operations & maintenance teams.

Our portfolio of projects includes wind, solar, wind-solar hybrid and firm and dispatchable renewable energy including battery energy storage systems. As of May 31, 2025, our total portfolio stands at approximately 10,069 MWp spread over 48 projects across four states in India.

Job Summary:

As a Data Engineer, you will support the design and implementation of our data architecture, ensuring it is scalable, secure and optimized for renewable energy data. You will collaborate with cross-functional teams to establish a robust data infrastructure that powers advanced analytics, AI, and business intelligence solutions.

Key Responsibilities:

Data Architecture and Strategy:

• Design and oversee the implementation of a scalable, efficient, and secure data architecture that supports real-time and batch processing for renewable energy data analytics.
• Define and implement a long-term data strategy aligned with organizational goals and analytics requirements.
• Lead the selection of appropriate data platforms, tools, and technologies based on current and future needs.

Data Governance and Quality:

• Establish data governance frameworks, including data standards, policies, and best practices to ensure data integrity, security, and compliance with industry regulations.
• Implement processes for monitoring, maintaining, and improving data quality across all data sources.
• Ensure data lineage and cataloging for improved traceability and usability.

Data Integration and Modeling:

• Design and implement data models and schemas that optimize storage and access for renewable energy datasets, such as SCADA data, IoT sensor data, and weather forecasts.
• Lead efforts to integrate data from diverse sources, including third-party APIs, legacy systems, and cloud-based services.
• Develop reusable data patterns and blueprints for scalable and efficient data pipelines.
• Build and maintain ETL/ELT pipelines that process and transform large volumes of structured and unstructured data.

Platform Implementation and Optimization:

• Oversee the setup of cloud-based platforms for big data storage, computation, and analytics.
• Implement and optimize data storage solutions, such as data lakes and data warehouses, for cost and performance.
• Ensure high availability, disaster recovery, and scalability of data systems.

Innovation and Continuous Improvement:

• Stay updated with emerging data technologies and trends and recommend their adoption to enhance the data ecosystem.
• Foster a culture of innovation within the data analytics department, promoting the use of advanced tools and methodologies.
• Mentor and guide the data engineering and analytics team in adopting architectural best practices.

Qualifications and Skills:

• Bachelor's or Master’s degree in Computer Science, Data Engineering, Information Systems, or a related field.
• 2-5 years of experience in data architecture, data engineering, or related roles, with a proven track record of building scalable data solutions.
• Deep expertise in cloud platforms (AWS, Azure, or GCP) and big data technologies (e.g., Apache Spark, Hadoop).
• Proficiency in data modeling, schema design, and database optimization for relational and NoSQL databases.
• Strong understanding of ETL/ELT processes and tools (e.g., Apache Airflow, AWS Glue, Azure Data Factory).
• Experience implementing data governance and quality frameworks.
• Familiarity with renewable energy datasets, such as SCADA, IoT, and meteorological data, is highly desirable.
• Knowledge of renewable energy systems, energy markets, and sustainability practices.
• Experience in designing data platforms for AI/ML applications and predictive analytics.
• Strong leadership and communication skills, with the ability to collaborate across technical and business teams.

Seniority Level: Associate

Employment Type: Full-time

Job Function: Product Management