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Metro location, common data engineering skills, and generalist mid/senior role drive high competition.
Core data engineering skills are widely transferable across industries, reducing background sensitivity.
Mandatory seven-year experience requirement and leadership expectations increase screening strictness.
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Develop, maintain, and optimize scalable data pipeline architecture to meet complex business data needs.
Build and oversee data generation infrastructure including ETL processes across various data sources using SQL and big data technologies.
Lead data engineering projects, coach junior staff, and collaborate with cross-functional teams to resolve technical issues and support data infrastructure.
University Degree with minimum 7 years of relevant experience or equivalent.
Strong skills in SQL; experience with Python, Azure Data Factory, DataBricks, Spark is a plus.
Experience with cloud data platforms, distributed data warehouses, and data lakes.
Work Experience Required: Minimum 7 years relevant experience.
Experienced in managing large data engineering projects with limited oversight and recognized as a subject matter expert in the field.
Proficient in designing and implementing scalable data infrastructure solutions in cloud environments.
Skilled in stakeholder communication and able to support and coach data engineering teams effectively.