This job involves creating data pipelines using a configurable framework (developed using Databricks / pyspark), which are used to load data from multiple sources to Google Cloud. It also involves extensive collaboration with other team members (India & USA) to follow a plan, execute workflows, ensure data load accuracy and debug in case of issues. Essential Responsibilities
• Understand the overall requirement and create & execute resilient and high performant data pipeline jobs, developed in Databricks / PySpark
• Understand data and its relation / significance from a business perspective
• Create custom scripts in python / pyspark
• Minor development and enhancement activities as needed to handle new / custom requirements
• Validate data between source and target & highlight issues and rerun jobs as needed
• Lead other developers, review their code and ensure quality & optimal code is being delivered




• Provide regular updates on the tasks, status and risks to project manager Requirements
• Bachelor’s degree from a reputed university
• 7 to 12 years overall experience
• Excellent SQL / data knowledge (6+ years) in creating complex SQL queries, Stored Procedures etc.
• Experience in developing enterprise grade ETL applications (any tool)
• Experience in Google BigQuery or any cloud database
• Working knowledge in Pyspark, Dataproc/Apache Spark, Airflow, Iceberg
• Good communication and positive attitude
• Attitude to take ownership and drive tasks without follow-ups Valuable to have
• Knowledge in Starburst, DBT
• Knowledge in US Healthcare domain
• Knowledge in Agile

📌 Lead Cloud Engineer (Bengaluru)
🏢 BB Insights
📍 Bengaluru