Software Engineering Intern – Data… at Nextracker Inc. · Fremont

Summary: Nextpower is a company focused on driving the global energy transition with innovative clean energy technology. They are seeking a highly motivated summer intern to join the Data Engineering team to help build and operate production data pipelines that power analytics and operational insights from power plant telemetry. Responsibilities: - Build and operate telemetry data pipelines from ingestion through curated lakehouse tables - Implement streaming ingestion using Kafka concepts (e.g., Azure Event Hubs or similar technologies) - Develop Databricks lakehouse pipelines producing Bronze/Silver/Gold Delta tables (or equivalent patterns) - Enforce schema validation, data contracts, and data quality checks (e.g., expectations/tests) - Handle real-world pipeline issues such as late-arriving data, duplicates, out-of-order events, and schema drift - Optimize pipelines for performance, reliability, and cost - Create clear documentation and runbooks to support owned pipelines in production - Collaborate with engineers and stakeholders to translate requirements into robust, maintainable data products Required Qualifications: - Currently pursuing a Bachelor's or Master's degree in Computer Science, Data Engineering, Software Engineering, or a related field (or equivalent practical experience) - Proficiency in Python and/or SQL, with the ability to write clean, maintainable code - Strong understanding of data fundamentals (schemas, data modeling basics, transformations, and data reliability concepts) - Exposure to distributed systems and/or big data concepts (e.g., Spark, streaming, or parallel processing) - Strong analytical and troubleshooting skills; ability to debug issues using logs, metrics, and data inspection - Excellent written and verbal communication skills, including comfort documenting work clearly - Comfortable working in a fast-paced, high-performance environment with mentorship and feedback Preferred Qualifications: - Experience with Azure (Event Hubs, ADLS Gen2) or cloud data platforms (AWS/GCP equivalents) - Experience with Databricks, Delta Lake, or lakehouse architectures - Exposure to streaming (Kafka or similar) and event-driven data pipelines - Familiarity with data quality practices (tests, validation, data contracts) and CI/CD Required Skills: Python, SQL, Data Engineering Important Skills: Azure, Databricks, Kafka Nice-to-Have Skills: Data Quality, Analytical Skills, Communication Skills