Senior Data Engineer

Expert Technology Services

Anaheim, CA

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JOB DETAILS

SKILLS

Agile Programming Methodologies, Best Practices, Business Intelligence, Communication Skills, Continuous Deployment/Delivery, Continuous Integration, Data Management, Data Mining, Data Modeling, Data Quality, Data Warehousing, Database Extract Transform and Load (ETL), DevOps, Enterprise Architecture, Healthcare, Master Data Management (MDM), Metadata, Microsoft SQL Server, Microsoft Transact-SQL (T-SQL), Microsoft Windows Azure, Organizational Skills, Presentation/Verbal Skills, Project/Program Management, Reverse Engineering, SQL (Structured Query Language), SQL Server Integration Services (SSIS), Source Code/Configuration Management (SCM), Technical Writing, Virtualization, Waterfall Model of Software Development, Writing Skills

LOCATION

Anaheim, CA

POSTED

2 days ago

Job Summary (List Format):

- Must be local to Los Angeles and/or Orange County and willing to work onsite in a hybrid model
- Minimum 7 years of experience in data warehousing or data engineering roles within mid to large organizations (healthcare industry experience highly preferred)
- Minimum 4 years of hands-on experience in ETL/data integration, business intelligence (BI), data mining, and data modeling
- Strong SQL Server and SQL programming background; expertise in T-SQL and MS SQL development
- Experience with SSIS for ETL and data pipelining
- Background in data warehousing, data modeling, and data integration
- Proficient in data architecture, including separation between storage and compute (preferred)
- Experience with data quality, data validation, metadata management, and data governance
- Familiarity with ETL platforms such as Talend (preferred)
- Experience using Azure DevOps for source control and CI/CD
- Experience working in both Waterfall and Agile project management environments
- Strong knowledge of 3rd normal form (TNF) data warehouse architecture, data flow best practices, metadata, and master data management
- Ability to coordinate with enterprise data architects and implement best practices
- Highly advanced technical skills and comprehensive IT stack knowledge
- Excellent verbal and written communication skills; able to produce high-quality technical documentation
- Self-motivated, able to self-learn, reverse engineer, and support existing processes
- Familiarity with data virtualization concepts/architecture (highly desired)
- LinkedIn profile required for candidate submission

Senior Data Engineer

Expert Technology Services

Anaheim, CA

About the Company

Expert Technology Services

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