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Tier-1 brand, mid-level data role, metro location and common skillset increase candidate competition.
Core data engineering skills (Snowflake, DBT, SQL, Python) are highly transferable across industries.
Mandatory Snowflake/DBT/data-warehousing expertise and domain ownership raise shortlisting rigor.
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Design, build, and maintain high-quality data pipelines and analytical solutions supporting global sales and marketing teams.
Collaborate with product owners, database architects, and analysts to translate business requirements into scalable technical solutions.
Ensure the reliability, performance, and business impact of data solutions while improving team engineering quality.
Hands-on experience with data warehousing, specifically Snowflake and DBT.
Strong skills in SQL and database modeling/design.
Familiarity with agile tools like Jira and Confluence and experience with CI/CD practices (preferably Jenkins or equivalent).
Work Experience Required: Not explicitly mentioned in the JD.
Experience working in cross-functional teams with product owners and data analysts in data-rich environments.
Technical ownership mentality focused on code quality, reliability, and continuous improvement.
Interest and basic understanding of evolving technologies including AI and large language models (LLMs).