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High competition due to Tier-1 brand, metro location, popular data role, and broad skillset requirements.
Low because core data engineering skills are highly transferable across industries.
Medium: multiple technical/data requirements but no explicit years or certifications.
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Design, build, and optimize scalable ETL/ELT pipelines for large volumes of structured and unstructured data.
Develop and maintain enterprise data warehouses, data lakes, and modern data platforms with focus on data integration, quality, governance, and security.
Collaborate with business teams for requirements, participate in solution design, code reviews, and support cloud migration and modernization efforts.
Bachelor’s degree in Computer Science, Information Technology, Engineering, or related field.
Experience with ETL/ELT pipeline design, enterprise data warehouses, and data integration from multiple sources including cloud services.
Knowledge of data quality, governance, security, and compliance standards.
Work Experience Required: Not explicitly mentioned in the JD.
Experience working in a cross-functional IT or data engineering team involving product managers, data scientists, and business users.
Proven ability to optimize SQL queries and database performance for reporting and advanced analytics.
Capable of supporting and driving cloud migration and modernization initiatives within complex data environments.