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sqlsparketlsql serversnowflakedatadatabrickspysparkfabric
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Job Description
📋 Description
- Own and drive the end-to-end delivery of data architecture and pipeline solutions
- Design and evolve the semantic layer to be the well-governed single source of truth for business
- Design and operationalize data quality framework to ensure trust and consistency in data
- Manage and continuously improve data architecture and pipelines, establishing clear monitoring
- Lead the planning for BI (Tableau) platform management, updates, enhancements, maintenance and
- Establish foundational capabilities for AI-enabled analytics capabilities in BI platform
🎯 Requirements
- 8+ years of professional experience in data engineering, infrastructure engineering, or a closely
- Experience with SQL-based data platforms (such as SQL Server) and modern cloud-based data
- Experience managing and mentoring data engineers
- Strong technical proficiency in SSIS, Spark, PySpark, and SQL
- Demonstrated experience and expertise managing Tableau infrastructure (on-prem and cloud) and
- Experience with version control and CI/CD workflows using Git and platforms such as Bitbucket
🎁 Benefits
- 25 holidays + 18 days additional flexible PTO days (flexible PTO increases to 23 days for years 3
- 100% paid parental leave
- 100% coverage of the premium for employee and 75% for employee + family’s medical/dental/vision
- Wellness benefits such as fitness reimbursements, discounted tickets to theme parks/attractions
- Finance Security benefits include 401K retirement plan with 4% match, employer-sponsored legal
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