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Mid-level data engineer in metro with common skillset and broad hiring pool.
Core data engineering skills are broadly transferable across industries.
Mandatory five years' experience plus preferred cloud/data stack makes shortlisting moderately strict.
Develop and maintain data generation infrastructure and scalable data pipelines to meet business requirements.
Optimize and automate internal data processes to enhance data delivery and infrastructure scalability.
Collaborate with stakeholders across Executive, Product, Data, and Design teams to support data infrastructure and resolve technical issues.
University degree or equivalent experience.
Minimum 5 years of relevant experience in data engineering or related roles.
Proficiency in SQL and experience with cloud data technologies (e.g., Azure Data Factory, Data Bricks, Spark preferred).
Experience with data transformation, distributed data warehouses, and data lakes.
Experienced in designing and optimizing complex data pipeline architectures in cloud environments.
Able to work independently managing moderately complex IT and data infrastructure projects with limited supervision.
Skilled in stakeholder communication and managing cross-functional data needs in a multi-regional, secure data environment.