Azure/SQL Data Engineer/Analyst-Seattle, WA (Remote)

Georgia IT Inc
Seattle, WA, United States
Remote
Full-time
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Azure / SQL Data Engineer / Analyst

Location : Seattle, WA (Remote)

Duration : 12+ Months

Rate : DOE

US Citizens and Green cards are Preferred.

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.
  • 22 days ago
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