Description

You will design and develop scalable ETL/ELT pipelines to ingest and transform data from various sources.

Responsibilities

• Build and maintain data models and transformations using DBT in Snowflake.
• Integrate and automate data extraction from external APIs using Python.
• Deliver Power BI dashboards and datasets by working with analysts and business users.
• Optimize and monitor data workflows using ADF, AWS Glue, or similar tools.
• Maintain documentation and ensure data integrity, quality, and performance across relational databases.

Required Skills

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

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