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Skills
Acceptance Testingunmatched
Agile Programming Methodologiesunmatched
Analysis Skillsunmatched
Business Intelligenceunmatched
Business Skillsunmatched
Communication Skillsunmatched
Customer Support/Serviceunmatched
Customer/Client Researchunmatched
Data Analysisunmatched
Data Managementunmatched
Data Qualityunmatched
Database Extract Transform and Load (ETL)unmatched
Detail Orientedunmatched
Functional Testingunmatched
Identify Issuesunmatched
Metricsunmatched
Microsoft Excelunmatched
Microsoft Product Familyunmatched
Microsoft SharePointunmatched
Microsoft Transact-SQL (T-SQL)unmatched
Microsoft Visual Basic for Applications (VBA)unmatched
Microsoft Windows Azureunmatched
OLAP Cubesunmatched
Platform as a Service (PaaS)unmatched
Power BIunmatched
Production Supportunmatched
SQL Server Integration Services (SSIS)unmatched
Scripting (Scripting Languages)unmatched
Support Documentationunmatched
Description
Position: Data Engineer Location: Remote Duration: Contract Rate: DOE Technology:- SQL Server 2019 / Azure SQL, Good SQL & ETL skills.
- Strong expertise on T-SQL and working knowledge on SSIS & ADF.
- Strong knowledge on Excel Pivots, PowerPivot, VBA .
- Working knowledge of PowerBI.
- Strong data analytical skills, understanding and experience in Data Quality.
- Ability to make business conclusions from data, connect scenarios.
- Background of working in an Agile / Sprint based work environment.
- Knowledge on DAX scripting and BPC-Standard & Expense recommendation.
Additional skills:- Understanding Data Management & BI concepts, Data Analysis, Analytics, Cubes, Reporting Technologies, ETL.
- Working knowledge/ concepts in Azure PaaS technologies Databricks, ADLS / ADW / Synapse is a big plus.
- Prior experience in Microsoft landscape is a big plus.
- Ability to deal with ambiguity and work in agile environment.
- Excellent communications skills with business users / stakeholders.
- Attention to detail.
- Strong troubleshooting skills.
- Hands on experience with SharePoint.
Responsibilities include:- Provides extensive troubleshooting and technical expertise in identifying data issues that impact data metrics.
- Implements measures / solutions to proactively track data quality issues.
- Gather and Confirms project requirements by studying user requirements, conferring with others on project team.
- Participate in requirements / user acceptance tests/ business functionality tests.
- Provides support to the users on any data related questions/issues reported.
- Documenting processes, supporting partner teams, participating in user training.
- Solving data discrepancies and providing business intelligence insights.
- Monitor data extract, transform, and load (ETL) jobs and respond to any job failures.
- Troubleshoot complex data related issues escalated from Tier 1.
- Flexibility to support production issues during off hours.
- Communication of ongoing issues / incidents to business community.
Numbers & Facts
| Location | Seattle, WA (Remote) |