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Tier-1 brand, mid-level data role, metro location, and common skillset drive high competition.
Core data engineering skills (Python, SQL, cloud) are highly transferable across industries.
Explicit 5+ years plus mandatory cloud, Python, SQL and big-data skills enforce strict shortlisting.
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Design, develop, and optimize scalable data pipelines, models, and integration processes to support business functions.
Ensure data quality and integrity by implementing validation and cleansing processes.
Collaborate with cross-functional teams to deliver data solutions that enhance decision-making, operational efficiency, and advanced analytics capabilities.
Bachelor’s degree in a technical discipline (science, technology, engineering, mathematics).
5+ years of experience in data engineering.
Proficiency in data engineering tools and programming languages such as Python and SQL.
Experience with cloud platforms like AWS, Azure, or Google Cloud.
Experienced in building scalable data solutions aligned with complex business requirements and cross-functional collaboration.
Knowledgeable in cloud-based data engineering environments and big data technologies (e.g., Hadoop, Spark) to drive innovation.
Capable of improving operational efficiency through data-driven approaches and ensuring data governance and quality best practices.