Senior Data Engineer – AI & Analytics

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!About the RoleWe are looking for a Senior Data Engineer with hands-on experience in building AI Solutions strong foundations in data warehousing and an applied understanding of AI/ML workflows. Ideal candidate will be working on TBs of data and handling real-world IoT use cases. You will work closely with our AI and analytics teams to design build and maintain data infrastructure that powers intelligent business decisions.What You Will Be Doing

• Design and optimize PySpark-based data pipelines for batch and streaming data processing at scale
• Develop advanced SQL transformations for analytics reporting and data consumption layers
• Build and maintain data warehouse models (fact/dimension star/snowflake SCDs data marts)
• Work with Incorta or equivalent DW/BI platforms to ingest model and expose business-ready datasets
• Collaborate with AI/ML teams to create feature engineering pipelines and curated datasets
• Implement data quality lineage and governance best practices across pipelines
• Contribute to modern architectures like lakehouse medallion or data mesh optimizing cost and performance

Who You Are & What You Bring

• 47 years of experience in data engineering or related roles with strong hands-on expertise in implementing AI projects using (Claude GPT Gemini).
• Strong expertise in building and developing agentic AI workflows.
• Proficiency in PySpark Python and advanced SQL (CTEs window functions query tuning)
• Experience Handling streaming pipelines using Kafka/ kinesis.
• Strong understanding of data warehousing concepts and dimensional modeling
• Experience working with Incorta Snowflake BigQuery Redshift or similar platforms
• Exposure to cloud data ecosystems (AWS Azure or GCP) and pipeline orchestration tools is a plus
• Familiarity with modern data stacks (Delta Lake/Iceberg dbt) and AI/ML data workflows
• A product mindset with the ability to translate business needs into scalable data solutions with strong communication skills

Required Experience:

Senior IC

Employment Type : Full-Time
Experience: years
Vacancy: 1