Description

Key Skills: GCP, Data Engineer,  Pyspark, Bigquery

Roles and Responsibilities:

• Design, develop, and maintain scalable data pipelines on Google Cloud Platform (GCP).
• Build and optimize ETL/ELT workflows for large-scale data processing.
• Develop data solutions using BigQuery, Dataflow, Dataproc, and Cloud Storage.
• Integrate data from multiple sources and ensure data quality and governance.
• Collaborate with data scientists, analysts, and business teams to deliver data-driven solutions.
• Monitor, troubleshoot, and optimize data pipeline performance.
• Implement CI/CD and automation for data engineering workflows.

Skills Required:

• Experience with Google Cloud Platform (GCP) services such as BigQuery, Dataflow, Dataproc, and Cloud Storage.
• Good knowledge of ETL/ELT processes and data pipeline development.
• Proficiency in SQL and Python for data engineering tasks.
• Understanding of data integration, data quality, and data governance.
• Experience with CI/CD and workflow automation.
• Ability to optimize and troubleshoot data pipelines.
• Strong analytical, problem-solving, and communication skills.
• Ability to work effectively with cross-functional teams.

Education: Bachelor's Degree in related field

Key Skills

Education

Any Graduate