Data Engineer

· Design and develop scalable ETL/ELT pipelines to ingest and transform data from various sources.

· Build and maintain data models and transformations using DBT in Snowflake.

· Work closely with analysts and business users to deliver Power BI dashboards and datasets .

· Integrate and automate data extraction from external APIs using Python , loading clean data into Snowflake.

· Collaborate with cross-functional teams to understand business requirements and translate them into technical solutions.

· Optimize and monitor data workflows in ADF, AWS Glue , or similar tools.

· Work with relational databases and ensure data integrity, quality, and performance.

· Maintain documentation and follow best practices for data engineering workflows.

· Support data migration or integration efforts with SAP BW systems (a plus, not mandatory).

· Strong experience with Snowflake (data modeling, performance tuning, warehousing concepts).

· Proficiency in DBT (Data Build Tool) for transformation pipelines.

· Hands-on experience with Power BI (data modeling, DAX, visualization best practices) or other tools like SAC/Tableau.

· Solid knowledge of Python , especially for API integrations and data processing.

· Experience with cloud-based data pipeline tools , such as Azure Data Factory (ADF) and/or AWS Glue .

· Good understanding of relational databases , SQL, and data modeling concepts.

· Strong problem-solving skills and ability to work independently or in a team.

· Excellent communication and documentation skills.

Nice to Have:

· Exposure to SAP BW data sources or integration with Snowflake.

· Experience with DevOps tools for data (CI/CD, version control in data workflows).

· Familiarity with orchestration tools like Airflow or Azure Data Factory triggers.