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Strong global brand, generalist Data Engineer role and likely metro hiring increase candidate competition.
Data engineering skills are broadly transferable, though energy domain and SAP/Oracle familiarity increase domain sensitivity.
Explicit 8+ years or 4+ data experience plus mandatory SQL/Python and cloud skills makes filters strict.
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Engineer and optimize data models, ETL operations, and data transformation pipelines to meet business requirements.
Schedule, monitor, and troubleshoot data jobs ensuring reliability and efficiency in data operations.
Collaborate with data architects, engineers, and stakeholders to implement data solutions and continuously improve data standards.
Bachelor's Degree required.
Minimum 8 years of software engineering experience with significant data engineering, OR minimum 4 years specialized data engineering experience.
Proficiency in SQL and Python mandatory.
Work Experience Required: 8 years software engineering with data engineering expertise, or 4 years strong data engineering.
Experience working in Agile/Scrum environments and familiarity with code review and version control systems like GitHub.
Skilled in designing and implementing data pipelines, AI-ready data foundations, and cloud data warehouses (e.g., Data Bricks, Azure).
Comfortable communicating technical designs clearly to stakeholders and iterating based on feedback; able to handle constructive criticism professionally.