Data Engineer

Key Responsibilities:

• Design, develop, and optimize data pipelines and ETL workflows for ingesting, transforming, and delivering data from multiple sources.
• Work extensively on Snowflake including building complex SQL queries, stored procedures, and performance optimization.
• Exposure through BI tools such as Power BI, Tableau, or Looker.
• Ensure data quality, governance, and reliability across data pipelines and datasets.
• Participate in the full data lifecycle, including data modeling, metadata management, and data quality initiatives.
• Troubleshoot and resolve performance or data integrity issues within data workflows and reports.

Required Skills & Experience:

• Strong expertise in Snowflake (must-have).
• Proven experience in designing and maintaining ETL/ELT processes using tools like Informatica, Talend, Azure Data Factory, DBT, or similar.
• Advanced proficiency in SQL — ability to write and optimize complex queries and transformations.
• Working knowledge of Power BI or other modern BI tools (e.g., Tableau, Qlik).
• Good understanding of data modeling, data warehousing concepts, and data lifecycle management.
• Experience with cloud platforms (AWS, Azure, or GCP) is a plus.
• Strong problem-solving skills and the ability to work collaboratively in cross-functional teams.