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Strong Tier-1 brand, metro Hyderabad location, and a popular data engineering manager title increase competition.
Requires manufacturing planning and scheduling domain expertise, reducing cross-industry transferability.
Explicit 10+ years, 6+ years people management, Snowflake/GCP and manufacturing domain expertise create strict filters.
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Lead and manage a team of data engineers focused on big data and cloud data warehouse solutions, primarily using Snowflake and GCP platforms.
Own technical delivery and production support for critical data engineering and advanced analytics projects within Smart Manufacturing and AI organization.
Drive collaboration with stakeholders to translate business requirements into technical solutions, enforce best practices, and resolve operational escalations promptly.
10+ years of experience in developing, delivering, or supporting big data engineering and advanced analytics solutions.
6+ years of experience managing or leading data engineering teams.
4-5 years of hands-on experience building cloud data-centric solutions using GCP or other cloud platforms.
Bachelor's degree in Computer Science, Management Information Systems, or related fields.
Experienced in building and leading AI-powered data engineering teams that enhance business value through automation and advanced analytics.
Strong technical expertise in cloud data warehouses (Snowflake, GCP), Python programming, ELT/ETL (preferably NiFi), and manufacturing planning and scheduling data domain.
Skilled at cross-functional collaboration and stakeholder management to align technical deliverables with business priorities in fast-paced environments.