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Job Description
Structured overview of role & requirementsAbout This Role
Own the end-to-end data pipeline lifecycle including ingestion (using Fivetran), transformation (using dbt), storage/modeling (using Snowflake), and consumption (using Power BI).
Lead development and execution of data engineering initiatives, providing technical leadership and mentoring junior engineers on best practices.
Collaborate with Analytics and BI teams to prototype new data solutions, including exploring GenAI-assisted approaches to improve data engineering workflows.
Minimum Requirements
10–12 years of IT experience with strong focus on data engineering and cloud data platforms.
6+ years of experience in data modeling, ELT/ETL frameworks, data warehousing specifically on Snowflake.
4+ years hands-on experience with dbt (data build tool) and 3+ years with Fivetran or similar ELT tools.
Bachelor's degree in Engineering (Computer Science or equivalent).
Ideal Candidate Profile
Strong technical expertise in Snowflake architecture, dbt project design, and Fivetran pipeline configuration with ability to optimize cost and performance.
Experienced in designing dimensional data models for operational reporting and self-service analytics, and enabling BI layers in Power BI including semantic modeling and performance optimization.
Comfortable working independently and cross-functionally with stakeholders, and interested in integrating GenAI/LLM capabilities to modernize data engineering workflows.