GCP Big Data Engineer – Python, Spark, Dataflow, BigQuery & ETL/ELT

About the role

This role is pivotal in supporting enterprise data initiatives, ensuring data quality, security, and accessibility for critical business insights. The successful candidate will collaborate across teams to drive data platform innovations and operational excellence aligned with organizational goals.

What you'll do

• Design, develop, and maintain scalable, resilient data pipelines on GCP to support enterprise analytics and reporting solutions
• Collaborate with business stakeholders, data scientists, and analytics teams to understand data requirements and implement optimized data workflows
• Implement and enforce data quality, security, and governance standards across platforms
• Optimize data ingestion, transformation, and processing workflows to ensure high performance and cost efficiency
• Perform data profiling, troubleshooting, and resolution of pipeline issues to ensure operational reliability

What you need

• 5–9 years in data science & ai
• Python
• ETL
• Spark
• BigQuery
• GCP
• SQL
• B.Tech or B.E. or B.Sc or BCA or M.Tech or MCA or M.Sc

Good to have

• AWS
• Machine learning
• Azure
• Airflow
• Data modelling
• TensorFlow