Job description

Data Engineering lead with 9+ years of experience with following skills
- Strong background in data analysis, data validation and data quality assurance
- Experience developing Business Analytics solutions, business intelligent reports and dashboards using
SQL, PowerBI, Excel, DAX

- Knowledge and experience with advanced functions in Microsoft Excel (V-lookups, H-lookups, VBA,
Macros and Pivot Tables).
- Azure Data factory (ADF) pipelines for data transformation
- High level understanding of data center architecture and design and provisioning, collaborate with other
engineering and program management teams, collect required data, develop a high-level intake process
for the team
- Experience using ADO (Azure Dev Ops),
- Good experience in agile life cycle and Dev Ops concepts
- Work on tactical data mining efforts from various platforms and systems such as Azure Dev Ops,
Spreadsheets, OnePDM etc.,
- Understanding and ability to create Azure Data factory pipelines for data transformation
- Ability to effectively engage with Business and Engineering stakeholders to gather/define requirements
and establish metrics for Business Analytics.
SKILLS
 PowerBI
 SQL Server
 ADF (Azure Data Factory)
 Azure DevOps (ADO) (Azure boards, Azure Product backlog Management)

Job Type: Full-time

Salary: $85,453.00 - $169,140.00 per year

Schedule:

• 8 hour shift

Ability to commute/relocate:

• Bellevue, WA: Reliably commute or planning to relocate before starting work (Required)

Experience:

• Informatica: 1 year (Preferred)
• SQL: 1 year (Preferred)
• Data warehouse: 1 year (Preferred)

Work Location: One location

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