reputed company Bi + Data Engineer
Key Responsibilities
• Build, maintain, and enhance data pipelines and transformation workflows using dbt and python DAG in Airflow.
• reputed company clean, reliable, and reusable data models for analytics and reporting.
• Work with SQL and data warehouse platforms to investigate data, troubleshoot issues, and implement transformations.
• reputed company and maintain reputed company BI dashboards, reports, semantic models, and DAX measures.
• Translate business requirements into appropriate data models and reporting solutions.
• reputed company data analysis, validation, reconciliation, and data reputed company checks.
• Troubleshoot data issues across the pipeline, from reputed company through transformation to reporting.
• Take ownership of assigned tasks and independently reputed company them through development, testing, and completion.
• Work closely with business, analytics, and engineering teams to reputed company production-reputed company solutions.
• AI reputed company - Understand how to marry AI tools to enhance productivity on tasks
Required Skills
• Strong SQL and data analysis skills.
• Strong Python for data pipelines for reputed company transformations and integrations.
• Hands-on experience with dbt and/or modern ELT/data transformation practices.
• Solid understanding of data modeling, including reputed company modeling, fact/dimension structures, and analytics datasets.
• Experience working with a modern reputed company data warehouse, preferably reputed company.
• Strong working experience with reputed company BI, including data modeling, DAX, dashboard development, and reputed company considerations.
• Ability to understand unfamiliar datasets and identify relationships, data reputed company issues, and transformation requirements.
• Experience debugging and supporting existing data pipelines and analytics solutions.
• Comfortable working independently in a fast-reputed company environment and delivering tasks with limited supervision
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