Description

You design, build, and maintain scalable data pipelines and cloud-based data solutions on Google Cloud Platform.

This role is on-site.

Responsibilities

• Design and maintain data pipelines using BigQuery, Cloud Dataflow, and Cloud Storage.
• Build and optimize ETL/ELT workflows for large-scale data processing.
• Develop data models and implement data warehousing solutions.
• Automate workflows using Airflow and Spark.
• Ensure data quality, integrity, and pipeline performance through code reviews and troubleshooting.

Required Skills

• 9+ years of experience in data engineering.
• Deep expertise in Google Cloud Platform (GCP).
• Strong proficiency in Python and SQL.
• Hands-on experience with BigQuery and Cloud Dataflow.
• Experience with Airflow for orchestration.
• Proficiency in Spark for data processing.
• Solid understanding of Data Modeling and Data Warehousing.
• Experience with ETL/ELT patterns and CI/CD.
• Ability to work with APIs and solve complex analytical problems.

Key Skills

Education

Any Graduate