Process Manager

About the role

We are looking for an experienced GCP Data Engineer to design, develop, and maintain scalable data pipelines and ETL/ELT frameworks on the Google Cloud Platform. The candidate will work extensively with BigQuery, Python/PySpark, Airflow/Cloud Composer, and Google Cloud Storage to process and transform large volumes of campaign, customer, and clickstream data.

What you'll do

• Design, develop, and maintain scalable and reliable data pipelines on GCP
• Build batch and, where required, near-real-time data ingestion and transformation pipelines
• Develop robust ETL/ELT frameworks for large volumes of structured and semi-structured data
• Ingest data from multiple sources into Google Cloud Storage and BigQuery
• Develop reusable and modular data engineering components

What you need

• 4–8 years in operations
• SQL
• GCP
• ETL
• CI/CD
• BigQuery
• Python
• Any graduate

Good to have

• IAM
• Data warehousing
• Data modelling
• Spark
• Airflow
• Git