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Tier-1 brand, metro location, generalist Data Engineer role with common tech skills increases competition.
Core data engineering skills (SQL, Python, ETL, cloud) are highly transferable across industries.
Explicit 8+ years (or 4+ alternative) plus required SQL/Python and data-engineering skills increases shortlisting strictness.
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Engineer and optimize data models and ETL operations to meet business requirements.
Schedule, monitor, and debug data operation jobs ensuring reliability and performance.
Collaborate with data architects and stakeholders to implement data solutions and improve organizational data standards.
Bachelor's Degree.
Minimum 8 years software engineering with substantial data engineering experience, or 4 years strong data engineering experience with expertise in data modeling and data architecture.
Strong proficiency in SQL and Python.
Work Experience Required: Minimum 8 years in software engineering with data engineering focus or 4 years strong data engineering explicitly mentioned.
Experienced with Agile/Scrum methodologies and code versioning tools like GitHub.
Familiarity with designing and implementing data pipelines, cloud data warehouses (e.g., Data Bricks, Azure), and AI-ready data foundations.
Capable of working independently and collaboratively with clear communication to technical stakeholders.