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Mid-level generalist data engineer role with common stack at a known global firm increases competition.
Data engineering skills (SQL, Python, ETL, Spark) are highly transferable across industries.
Explicit three-year minimum plus preferred SQL/Python/Azure/Spark skills makes screening moderately strict.
Develop, maintain, and test data infrastructure and pipelines to support business needs and data generation.
Design and implement process improvements and automation to optimize data delivery and infrastructure scalability.
Collaborate with stakeholders across executive, product, data, and design teams to support data-related technical issues and infrastructure requirements.
University degree or equivalent experience.
Minimum 3 years of relevant data engineering or related experience.
Proficiency in SQL required; experience with Python, Azure Data Factory, Databricks, and Spark is preferred but not mandatory.
Work Experience Required: Minimum 3 years relevant experience.
Experienced with cloud data platforms, including data lakes and distributed data warehouses.
Able to work independently with general supervision, handling moderately difficult IT function problems.
Comfortable communicating and managing stakeholder expectations in a cross-functional team environment.