Description

Key Skills: Bigquery, SQL, Python, ETL, GCP, Tableau, Google Cloud Platform, CPLEX, Looker

Roles and Responsibilities:

• Develop and maintain ETL pipelines that move data from source systems/databases to target datastores/databases.
• Write and optimize SQL scripts for data transformations, data quality checks, and analytics-ready datasets.
• Build data processing jobs using GCP services, including BigQuery and Dataflow.
• Implement data strategies and support database migrations using appropriate methodologies and distributed processing.
• Enable analytics and reporting by supporting data visualization products such as Tableau.

Skills Required:

• 8-12 years of relevant experience in data engineering and analytics engineering.
• Python for building and maintaining data engineering workflows.
• ETL development and hands-on experience implementing data pipelines.
• SQL scripting for transformations, querying, and performance optimization.
• GCP with BigQuery and Dataflow for scalable data processing and pipeline execution.

Good to Have:

• Looker and PLX for business and management reporting.

Education: Bachelor's Degree in Computer Science or related field

Key Skills

Education

Any Graduate