Solid understanding and strong knowledge of data architecture, engineering principles with architect-level or technical lead expertise.
Proficient in Medallion architecture, data mesh, and data warehousing concepts.
Advanced expertise in SQL with a strong command of query optimization and complex operations.
Extensive hands-on experience with Snowflake, including Snowpipe, Snow SQL, Streams, Tasks, Dynamic Tables, RBAC, data masking, data sharing and snowflake administration.
Must have experience in dbt Cloud for building data pipelines, transformations, and performing rigorous testing.
Strong experience in ETL testing, including validating data transformations, ensuring data accuracy, and verifying end-to-end data pipeline workflows.
Familiarity with at least one of the following tools: Fivetran HVR, Snap Logic, Control M.
Experience with GitHub and GitHub actions.
Experience with supply chain datasets is an advantage.
Familiarity with working on SAP ECC, HANA, Ariba, and Salesforce datasets is a plus.
Exceptional written and verbal communication skills for effective collaboration and documentation.
Flexibility to provide overlap sometimes with US working hours at least until 12PM CST to support global teams.
Demonstrate ownership of end-to-end data solutions, from design through deployment and support, with the ability to work independently and drive initiatives without constant oversight.
Proactive communication and stakeholder engagement, including timely updates, risk identification, and seeking clarification when requirements are ambiguous.
Strong problem-solving and debugging skills, with the ability to anticipate issues, propose practical solutions, and think critically in high-pressure situations.
Agility in fast-paced environments, with experience prioritizing and managing multiple tasks and projects simultaneously, balancing technical depth with delivery speed.
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