Description

You will build and maintain scalable data pipelines on Google Cloud Platform, transforming raw data into analytics-ready datasets.

This role is remote.

Responsibilities

• Develop and maintain ETL pipelines moving data from source systems to target databases.
• Write and optimize SQL scripts for data transformations, quality checks, and analytics.
• Build data processing jobs using GCP services, including BigQuery and Dataflow.
• Support database migrations and implement distributed processing strategies.
• Enable analytics by supporting data visualization products like Tableau.

Required Skills

• 8-12 years of experience in data engineering or analytics engineering.
• Strong proficiency in Python for building data workflows.
• Hands-on experience with ETL development and pipeline implementation.
• Advanced SQL scripting for transformations and performance optimization.
• Experience with GCP, specifically BigQuery and Dataflow.
• Experience with data visualization tools such as Tableau.
• Bachelor's Degree in Computer Science or related field.

Preferred Skills

• Experience with Looker for business and management reporting.
• Familiarity with CPLEX for optimization tasks.

Key Skills

Education

Any Graduate