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6 Days ago

Senior Software Engineer (Data Engineering)

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Bangalore, Karnataka, India
Information Technology
Full-Time
Enphase Energy

Overview

Description

Enphase Energy is a global energy technology company and a leading provider of solar, battery, and electric vehicle charging products. Founded in 2006, our innovative microinverter technology revolutionized solar power, making it a safer, more reliable, and scalable energy source. Today, the Enphase Energy System enables users to make, use, save, and sell their own power. Enphase is also one of the most successful and innovative clean energy companies in the world, with more than 80 million products shipped across 160 countries.

Join our dynamic teams designing and developing next-gen energy technologies and help drive a sustainable future!

This role at Enphase requires working onsite 3 days a week, with plans to transition back to a full 5 day in office schedule over time.

About The Role

As a Senior Software Engineer on the Enphase Solar O&M Engineering Team, you will design, build, and maintain robust data pipelines. You will work on ETL processes, ensuring data is processed efficiently and is always available for analysis.

What You Will Be Doing

  • Design, implement, and optimize ETL pipelines
  • Build and maintain scalable data pipelines for real-time and batch processing
  • Develop workflows using Apache Airflow to automate data integration
  • Monitor data pipeline performance and ensure system reliability
  • Collaborate with analysts and data scientists to provide high-quality data
  • Troubleshoot and resolve data pipeline issues with minimal downtime
  • Perform data modeling and ensure data quality across systems


Who You Are And What You Bring

  • B.E/B.Tech in Computer Science or Electrical Engineering from top tier college and >70% marks
  • 5+ years of experience in data engineering
  • Proficiency in Python, Postgres, and Apache Airflow
  • Expertise in building and maintaining ETL pipelines
  • Experience with cloud-based data storage and processing systems
  • Strong understanding of database optimization and schema design
  • Attention to detail and a commitment to data quality
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