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Tier-1 brand, mid-level generalist title, metro location, and common data skills drive high competition.
Data engineering skills like Snowflake, DBT, SQL and Python are highly transferable across industries.
Mandatory Snowflake, DBT, SQL, and CI/CD skills increase filter strictness despite no explicit years requirement.
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Design, build, and maintain robust data pipelines and analytical solutions supporting global sales and marketing data warehouses.
Collaborate with product owners, database architects, and analysts to translate business requirements into technical solutions.
Ensure reliability, performance, and business impact of data solutions while elevating team engineering quality.
Hands-on experience with Snowflake and DBT for data warehousing and transformations.
Strong SQL skills and experience in database modelling and design.
Familiarity with agile development tools (Jira, Confluence) and CI/CD practices (preferably Jenkins).
Work Experience Required: Not explicitly mentioned in the JD.
Experienced in data engineering roles supporting sales and marketing analytics or similar domains with large data sets.
Operates with technical ownership, prioritizing code quality, reliability, and continuous improvement.
Comfortable working in cross-functional teams and explaining technical concepts to both technical and non-technical stakeholders.