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Tier-1 brand, popular mid-level data role, and broad skill requirements increase competition.
Data engineering skills like Snowflake, dbt, and SQL are broadly transferable across industries.
Explicit 5+ years and mandatory Snowflake, dbt, SQL, and programming create high filtering.
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Design, build, and support scalable ELT/ETL pipelines ingesting data into Snowflake Data Cloud.
Develop and maintain analytics-ready data models using dbt, focusing on modularity, testing, and maintainability.
Optimize Snowflake performance including tasks like Snowpipe, Streams, Tasks, and enforce data governance and quality standards.
Bachelor’s degree in Computer Science, Engineering, Information Systems, or related technical field, or equivalent experience.
5+ years of hands-on data engineering experience focused on cloud data warehousing and modern data platform implementations.
Demonstrated expertise with Snowflake Data Cloud architecture, security, and operations.
Strong experience with dbt for data modeling, SQL, and at least one programming language such as Python, Java, or Scala.
Experienced in building scalable enterprise data platforms with a focus on Snowflake and dbt implementations.
Skilled in working cross-functionally with data architects, analysts, and business stakeholders to translate complex requirements into reliable data solutions.
Comfortable implementing data governance, lineage, observability, and performance optimization in a cloud data environment.