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Job Description
Structured overview of role & requirementsAbout This Role
Lead the development and governance of semantic data models to ensure consistent and reusable reporting metrics.
Architect scalable data transformations on Snowflake using SQL and dbt; manage pipeline orchestration with Airflow to guarantee timely and reliable data delivery.
Mentor junior engineers and collaborate with cross-functional stakeholders to translate requirements into robust data solutions while driving best practices for version control, testing, and CI/CD.
Minimum Requirements
10+ years in data/analytics engineering with at least 2 years in leadership or mentoring roles.
Strong expertise in SQL and cloud data warehouses, preferably Snowflake, and experience with cloud platforms (AWS/GCP/Azure).
Hands-on experience with dbt for data modeling and Airflow for pipeline orchestration.
Work Experience Required: 10+ years in data/analytics engineering; Notice Period: Not explicitly mentioned in the JD.
Ideal Candidate Profile
Proven ability to balance hands-on technical development with leadership and stakeholder engagement.
Deep expertise in dimensional modeling, ELT best practices, and data governance principles relevant to analytics workflows.
Experience working in complex, cross-functional environments requiring clear communication of technical concepts to diverse teams.