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Tier-1 brand, metro location, and broad data/cloud skill requirements increase applicant competition.
Core data engineering skills are transferable, but manufacturing planning domain knowledge increases specificity.
Explicit multi-year hands-on and managerial experience and domain-specific requirements make shortlisting strict.
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Lead and manage a team of Data Engineers delivering big data and cloud data warehouse solutions primarily using Snowflake and GCP.
Own project requirements, design, architecture review, deployment, and production support to ensure high quality and operational excellence.
Drive team development through coaching, performance management, succession planning, and foster collaboration with business partners and internal stakeholders.
10+ years experience in big data engineering and advanced analytics solutions delivery or support.
6+ years experience managing or leading data engineering teams.
4-5 years hands-on experience building Cloud Data centric solutions in GCP or equivalent cloud platforms.
Bachelor's degree in Computer Science, Management Information Systems, or related field.
Experienced leader capable of managing multi-functional teams and balancing technical and people management responsibilities.
Strong technical expertise in big data, cloud data warehouse technologies (Snowflake, GCP), Python programming, and ELT/ETL processes.
Familiarity with manufacturing planning and scheduling data domains and the ability to translate complex business needs into technical solutions.