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Tier-1 brand, common backend/data title, mid-level experience range, and metro location increase competition.
Data engineering and ETL skills are broadly transferable across industries, so background sensitivity is low.
Explicit 5–10 years plus specific tools (ADF, Databricks, ETL, SQL) and governance requirements raise strictness.
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Design, build, and maintain databases capturing benchmarking, target setting, and performance data to enable competitiveness assessments and performance improvement.
Develop and maintain secure and reliable data connections with internal and external sources including automation of data pipelines and API integrations.
Collaborate with analysts, business leads, and IT teams to ensure robust data infrastructure aligned with enterprise standards and support data governance practices.
Bachelor’s degree in Computer Science, Data Engineering, Information Systems, or related field.
5–10 years of experience in database development, data engineering, or systems integration.
Proficiency in SQL and experience with relational and non-relational database platforms.
Experience with ETL processes, API integrations, and knowledge of platforms/tools such as Azure Data Factory, Databricks, AWS, Google Cloud, or Planning Space.
Experienced in complex data infrastructure design supporting benchmarking and performance insights in enterprise environments.
Familiar with application of AI/ML techniques to improve data integration and quality assurance.
Capable of collaborating across business, analytics, and technology teams while adhering to data governance and security best practices.