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Data Analytics EngineerKaav Inc.United States

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Data Analytics Engineer

Kaav Inc.
  • US
    United States
  • US
    United States

Über

Seeking a highly skilled and motivated Analytics Engineer to join a dynamic team. As a key contributor, you will be responsible for assisting with creation of automated data extractions, transformation, and loads (ETL) between various software systems managed by the client Equipment division. Currently this is being managed through manual processes. You will also assist with ETL from Equipment division software systems and their Data Warehouse (Microsoft Fabric Platform), and will create dashboards using Microsoft PowerBI for enhanced business insights. This is a contract to hire role with expectation to convert or extend after 6 months.
Required Skills - • Azure Data Factory • Microsoft Power Platforms (PowerBI, Power Automate, Power Apps) • Analytical Reporting and Dashboarding • Data Management and Pipelining (ETL)
Job Duties - • Assist with creating automated data extractions, transformations, and loads (ETL) between various software systems managed by the Equipment division. Currently this is being managed through manual processes • Assist with ETL from Equipment division software systems and our Data Warehouse (Microsoft Fabric Platform) • Create Dashboards using Microsoft PowerBI for enhanced business insights and decision making for the Equipment division leaders • Assist with the development of predictive analytics resources based on data in our Data Warehouse
Job Requirements - Required • Excellent verbal and written communication skills • Must be onsite 3 days/week at: Baltimore, Maryland 21286 • 5+ years of Experience in the Analytical Reporting and Dashboarding • 5+ years of Experience in Data Management and Pipelining (ETL) • 5+ years of Experience in Data Analysis • 5+ Years of Experience in SQL Database Programming • Strong Knowledge of Microsoft Power Platforms (PowerBI, Power Automate, Power Apps) • Enterprise Data Governance experience (Microsoft Purview Preferred) • Experience with data concepts, large data architectures and systems engineering towards data- centric solutions. • Experience working with cloud platforms (Azure) to leverage cloud services for scalable and flexible data solutions. • Excellent customer service skills • strong technical, analytical, and problem-solving skills Internal notes on clients tech: Power BI Dashboard Visualization • Data Model development • Deep Excel Expertise "Back-End" understanding to pull data • SQL primarily • Also, they use an Oracle based (on premise) ERP • ETL Process knowledge Azure Analytics • Azure Data Lake • Azure Factory • Microsoft Fabric (new) Communication, team collaboration and other soft skills are equally as important. Also someone that lives nearby who is willing to be onsite 5 days per week.
Internal notes on clients tech: Power BI Dashboard Visualization • Data Model development • Deep Excel Expertise "Back-End" understanding to pull data • SQL primarily • Also, they use an Oracle based (on premise) ERP • ETL Process knowledge
Azure Analytics • Azure Data Lake • Azure Factory • Microsoft Fabric (new)
Communication, team collaboration and other soft skills are equally as important. Also someone that lives nearby who is willing to come in 2-3 days per week and open to potentially going to 5 days the week down the line (if the client makes that mandatory.
Desired Skills & Experience - • Knowledge of construction industry (preferred) • Experience with Azure Data Factory (preferred) • Should have experience working in Agile methodology. • Oracle
Required Skills : Data Analysis
Basic Qualification :
Additional Skills :
This is a high PRIORITY requisition. This is a PROACTIVE requisition
Background Check : No
Drug Screen : No
  • United States

Sprachkenntnisse

  • English
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