Data Engineer
Tasks
- Collaborate with project team members and clients
- Create and maintain data architecture solutions
- Design data pipelines and workflows
- Develop data warehouses and data models
- Develop standards for data consistency
- Evaluate and recommend new technologies
- Implement ETL and ELT processes
- Optimize data performance and storage
- Participate in scoping and requirements gathering
- Perform data profiling and cleansing
- Provide technical assistance and training
- Support business intelligence and reporting
- Translate business requirements into technical designs
Perks/Benefits
- Dental insurance
- Disability insurance
- Employee assistance program
- Flexible spending accounts
- Health insurance
- Life insurance
- Paid Holidays
- Paid time off
- Retirement plan
- Snacks and drinks
- Tuition reimbursement
- Vision insurance
Skills/Tech-stack
Big Data | Data Analysis | Data Analysis Expressions | Data Cleansing | Data Standardization | Data Warehousing | Data conforming | Data extraction | Data profiling | Dimensional Modeling | ELT | ETL | Kimball methodology | Microsoft Fabric | Parquet | Performance optimization | Power BI | SQL Server | Semantic Modeling | Spark | Star Schema | Storage technologies | T-SQL
Education
Bachelor of Engineering | Bachelor of Science | Masters of Science
Roles
Regions
Countries
States
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