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Mid-level generalist data engineer role, 3-year band and broad skillset requirements increase competition.
Core data engineering skills like SQL, Python, cloud, and ETL are highly transferable across industries.
Explicit three-year minimum and required core skills impose moderate filtering, preferred skills are flexible.
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Develop, maintain, and test data pipeline infrastructure to assemble large, complex datasets addressing business requirements.
Optimize data delivery by automating processes and redesigning infrastructure for scalability using SQL and big data technologies.
Collaborate with stakeholders (Executive, Product, Data, Design teams) to support data infrastructure needs and create analytics tools for actionable insights.
University degree or equivalent experience.
Minimum 3 years of relevant work experience.
Technical skills: SQL; preferred but not mandatory - Python, Azure Data Factory, Databricks, Spark.
Not explicitly mentioned: Notice period and strict location requirements.
Experienced in cloud data environments and distributed data warehouse architectures.
Capable of working independently with general supervision on moderately difficult IT problems.
Experienced in collaborating with multiple stakeholder groups to support data infrastructure and analytics needs.