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Job Description
Structured overview of role & requirementsAbout This Role
Own end-to-end data pipeline lifecycle including ingestion (Fivetran), transformation (dbt), storage/modeling (Snowflake), and consumption (Power BI) to enable data-driven business decisions.
Lead data engineering initiatives, mentor junior engineers, and provide technical leadership for engineering standards and best practices.
Explore and pilot Generative AI use cases to improve data engineering workflows such as AI-assisted documentation and natural-language querying.
Minimum Requirements
10-12 years overall IT experience with 6+ years in data engineering and cloud data platforms.
6+ years experience in data warehousing specifically within Snowflake including architecture and data modeling.
4+ years hands-on experience with dbt and 3+ years with Fivetran and Power BI for data ingestion and BI reporting.
Bachelor's degree in Engineering (Computer Science or equivalent).
Ideal Candidate Profile
Deep expertise in Snowflake architecture, dbt project design, Fivetran pipeline configuration, and dimensional data modeling for scalable analytics.
Experience working independently and collaborating cross-functionally with business stakeholders to translate requirements into robust data solutions.
Practical interest and some exposure to applying Generative AI/LLM technologies to data engineering workflows is a plus.