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Mid-level data lead in metro with common skillset and visible title increases candidate competition.
Data engineering skills are transferable, though procurement/supply-chain context raises moderate domain bias.
Mandatory 5+ years, Snowflake/Python/data engineering skills and onsite requirement create strict filters.
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Lead and manage a team of data engineers and data scientists responsible for developing robust data pipelines primarily for Procurement and Supply Chain analytics.
Architect technical strategy and oversee pipeline development using Snowflake and Python, ensuring alignment with strategic data platforms and product portfolios.
Balance team workload, coach junior members, and engage with stakeholders to prioritize initiatives and maintain sustainable delivery.
Bachelor’s or master’s degree in computer science, engineering, or related field.
5+ years of experience in data engineering with exposure to complex data solutions.
Strong experience with Snowflake, SQL, Python, data pipeline architecture, and big data processing.
Onsite work requirement: must be willing to work in Chennai, India five days a week; visa sponsorship not available.
Experienced leader capable of managing and growing a technical team within a data engineering and data science environment.
Skilled in balancing strategic priorities with sustainable team workload and communicating technical concepts to non-technical stakeholders.
Proficient in modern data stack technologies, including Snowflake and Python, with a focus on data quality and scalable architecture.