Description

You will design, build, and maintain scalable data models and transformation pipelines.

This role is on-site.

Responsibilities

• Develop and optimize ELT workflows using Python scripts and orchestration tools.
• Implement data testing, validation, and documentation within DBT to ensure data quality.
• Manage and enhance data warehouse solutions like Snowflake, BigQuery, or Redshift.
• Translate business requirements into scalable data solutions by collaborating with stakeholders.
• Monitor and optimize data workflows and SQL queries for performance and cost efficiency.

Required Skills

• 10+ years of experience in data engineering roles.
• Strong expertise in writing complex and optimized SQL queries.
• Extensive experience in Python programming for data processing (pandas/PySpark).
• Hands-on experience with DBT (Data Build Tool) for modeling and testing.
• Experience with cloud data platforms including Snowflake, AWS, Azure, or GCP.
• Strong understanding of data modeling concepts (star/dimensional modeling).
• Experience with ETL/ELT tools and data integration techniques.
• Familiarity with CI/CD Pipelines and Git version control.

Preferred Skills

• Any Graduate education.

Key Skills

Education

Any Graduate