Lead Cloud Engineer
Description
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
Good to have
• Knowledge in Starburst, DBT
• Knowledge in US Healthcare domain
• Knowledge in Agile