Description

You will design, build, and optimize scalable data pipelines and transformations.

Responsibilities

• Design, build, and optimize reusable and scalable data pipelines and transformations using dbt, SQL, and cloud data warehouse technologies.
• Collaborate with data engineers to ensure reliable data ingestion and with analysts to enable self-service analytics.
• Develop and maintain documented data models, definitions, and metadata for data consistency.
• Partner with stakeholders to translate business requirements into high-quality analytical datasets.
• Implement and maintain data quality checks, testing frameworks, and monitoring processes across data workflows.

Required Skills

• 7+ years of experience in data engineering, analytics engineering, or related roles.
• Advanced proficiency in SQL.
• Strong experience with data transformation tools like dbt.
• Experience with Python.
• Expertise in Data Engineering and Data Modeling principles.
• Hands-on knowledge of ETL/ELT and Data Pipelines.
• Proficiency with BigQuery.
• Familiarity with CI/CD and Git for version control.

Key Skills

Education

Any Graduate