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 recent / 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

Good to have

- Knowledge in Starburst, DBT
- Knowledge in US Healthcare domain
- Knowledge in Agile

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