Description

You will design, build, and maintain scalable data pipelines and analytics infrastructure.

This role is on-site.

Responsibilities

• Design and develop ETL/ELT pipelines for data ingestion and transformation.
• Build and maintain data models using DBT in Snowflake.
• Automate data extraction from external APIs using Python.
• Deliver Power BI dashboards and datasets in collaboration with business users.
• Optimize data workflows and monitor performance using ADF, AWS Glue, or similar tools.

Required Skills

• 5+ years of experience in data engineering roles.
• Strong proficiency with Snowflake, including data modeling and performance tuning.
• Hands-on experience with DBT for transformation pipelines.
• Solid knowledge of Python for API integrations and data processing.
• Experience with cloud pipeline tools such as Azure Data Factory (ADF) or AWS Glue.
• Strong command of SQL and relational database modeling concepts.
• Proficiency in Power BI, DAX, and visualization best practices.
• Experience with SAC or Tableau.

Preferred Skills

• Exposure to SAP BW data sources or integration with Snowflake.
• Experience with DevOps tools including CI/CD and version control.
• Familiarity with orchestration tools like Airflow.

Key Skills

Education

Any Gradute