Posted:4 days ago|
Platform:
Work from Office
Full Time
• Work closely with various business, IT, analyst, and data science groups to collect business requirements.
• Model data platform by applying business logic and building objects in the semantic layer.
• Optimize data pipelines for performance, scalability, and reliability.
• Ensure quality of critical data elements and collaborate with business/system owners on remediation plans.
• Document the design and support strategy of data pipelines.
• Capture, store, and socialize data lineage and operational metadata.
• Troubleshoot and resolve data engineering issues.
• Mentor and guide junior data engineers.
• Experience working with Airflow as a workflow management tool and building operators to connect, extract, and ingest data.
• Experience in tuning queries for performance and scalability.
• Excellent organizational, prioritization, and analytical abilities.
• Proven experience with incremental execution through successful launches.
• Excellent problem-solving and critical-thinking skills; ability to comprehend complex data issues across multiple business environments.
• Experience working in an Agile environment.
(Mention the skill)
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