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Tier-1 brand, popular Data Engineer role, and metro location increase applicant competition.
Core data engineering skills are transferable across industries, though energy domain knowledge is beneficial.
Explicit senior experience and mandatory technical skills (SQL, Python, cloud) create strict shortlisting.
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Engineer and implement data models, data transformations, and ETL operations based on business requirements.
Schedule, monitor, and debug data operation jobs to ensure smooth data pipeline functioning.
Collaborate with data architects, engineers, and stakeholders to improve standards and communicate design decisions clearly.
Bachelor's Degree is mandatory.
Minimum 8 years in software engineering with substantial data engineering experience, or minimum 4 years strong data engineering experience with expertise in data modeling and architecture.
Strong proficiency in SQL and Python.
Work Experience Required: Minimum 8 years software engineering or 4 years strong data engineering experience.
Experienced in Agile/Scrum methodologies and code review/version control practices (GitHub).
Proficient in designing and implementing data pipelines and building AI-ready data foundations; experience with cloud data warehouses (e.g. Data Bricks, Azure) is advantageous.
Capable of explaining design choices technically and embracing feedback with humility; able to work independently and collaboratively aligned with business stakeholders.