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Tier-1 brand, metro location, generalist data engineering role with broad skill requirements.
Data engineering skills (SQL, Python, Spark, ETL) are highly transferable across industries.
Moderate technical stack requirements but no explicit years makes filtering medium strictness.
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Support design, development, and optimization of enterprise data platforms and solutions, including data lakes and warehouses.
Assist in defining and implementing scalable data models, integration patterns, and architecture standards.
Monitor data quality, governance, and troubleshoot data pipeline and platform issues.
Bachelor's degree in Computer Science, Information Systems, Data Engineering, Software Engineering, or related field.
Working knowledge of SQL, relational databases, and data modeling concepts.
Proficiency in Python, Spark, or similar data processing and automation technologies.
Understanding of ETL/ELT processes, data warehousing, and modern data architecture principles. Work Experience Required: Not explicitly mentioned in the JD.
Analytical mindset with strong problem-solving skills focused on data engineering and cloud platforms.
Experience collaborating across business and technical teams to translate data requirements into solutions.
Familiarity with data governance, metadata management, data lineage, and enterprise architecture concepts through academics, internships, or projects.