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Mid-level data engineer, metro location and generalist skillset increase candidate competition.
Core data engineering skills (SQL, Python, ETL, cloud) are highly transferable across industries.
Minimum three years plus required data infrastructure skills creates moderately strict shortlisting filters.
Develop, maintain, and test data infrastructure and pipelines to support business needs and optimize data delivery for scalability.
Build and manage data extraction, transformation, and loading systems using SQL and big data technologies, ensuring data security across multiple data centers and AWS regions.
Collaborate with stakeholders including executive, product, data, and design teams to resolve data-related technical issues and support analytics and data science teams with tools and insights.
University degree and minimum 3 years of relevant work experience or equivalent.
Proficiency 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 3 years relevant experience.
Experienced in building and optimizing large-scale data pipelines and infrastructures in cloud environments.
Skilled in collaborating effectively with cross-functional teams including executive, product, data science, and design stakeholders.
Has intermediate-level technical proficiency with the ability to work independently on complex IT function-related problems and influence within the function.