Description

Key Skills: Snowflake, Microsoft Azure, SQL, Python, Big Data, ETL, Data Warehousing, Data Architecture, Database Design, Data Modeling

Roles & Responsibilities:

• Design and build large-scale data pipelines, data warehouses, and data marts to support analytics and reporting needs.
• Develop and optimize SQL-based data transformations, stored procedures, and reusable data engineering components.
• Implement data architecture patterns that support scalable ingestion, transformation, and consumption across business platforms.
• Work with cloud and big data environments to integrate structured and semi-structured data from multiple enterprise sources.
• Partner with data science and business intelligence teams to deliver trusted datasets for downstream use cases.

Experience:

• 7+ years of relevant data engineering experience.
• Strong hands-on experience in SQL Development, Snowflake, Python, and enterprise data engineering environments.
• Solid understanding of data architecture, database design, and conceptual data modeling for analytics platforms.
• Experience building scalable data solutions with performance-aware data structures and query optimization practices.
• Hands-on experience with cloud-based ETL, data warehousing, and integration of legacy and modern data systems.

Good to Have:

• Experience with Teradata, Netezza, and other enterprise big data platforms.

Education:

• Bachelor's degree in Computer Science, Information Technology, or equivalent

Key Skills

Education

Any Graduate