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Popular data-engineer title, Bangalore metro, and broad platform skills increase candidate competition.
Core data engineering skills transfer across industries despite supply-chain domain context.
Specific Snowflake and Databricks expertise plus lead-level expectations create moderate technical gating.
Lead design, development, and delivery of scalable data platforms and robust data pipelines.
Optimize Snowflake data warehouses and utilize Databricks for advanced analytics.
Mentor data engineering team and collaborate with cross-functional stakeholders ensuring performance, security, and compliance of data solutions.
Experience Required: Not explicitly mentioned in the JD.
Technical skills must include Snowflake data warehousing and Databricks platform expertise.
Must demonstrate ability to design scalable data pipelines and manage data platform architecture.
Information security compliance responsibilities must be understood and practiced.
Experienced in leading data engineering teams with accountability for end-to-end data platform delivery.
Proficient in cloud-based data warehousing and big data analytics tools, particularly Snowflake and Databricks.
Capable of cross-functional collaboration and enforcing enterprise-grade security and compliance in data solutions.