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Analytics Engineer
Analytics EngineerKomline Sanderson • Washington, DC, US
Analytics Engineer

Analytics Engineer

Komline Sanderson • Washington, DC, US
[job_card.variable_days_ago]
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  • [job_card.full_time]
[job_card.job_description]

Job Description

Job Description

About Komline :

As a pioneering leader in advanced separation technologies, Komline has established a global reputation for engineering excellence. Through our combination of innovative design, cutting-edge manufacturing capabilities, and decades of industry experience, we consistently deliver the highest quality equipment from our integrated manufacturing facilities. Serving our core markets of Water & Process, Agricultural & Renewables, and Industrials, we pride ourselves on providing comprehensive separation solutions precisely tailored to our clients' requirements. With a strong track record of strategic growth and acquisitions, Komline continues to expand its solution portfolio and technical capabilities while maintaining our commitment to innovation and customer satisfaction.

This Opportunity :

Komline is currently in the midst of implementing Microsoft Dynamics 365 F&O across the enterprise. In parallel, the team is building a Business Intelligence (BI) platform within Microsoft Fabric to better harness the power of its data. The Data Engineer will be experienced in using Microsoft Fabric and Power BI and will be responsible for designing, building, and maintaining scalable data solutions using Microsoft Fabric tools, including Data Pipelines, Azure Data Lake Storage, OneLake, Data Warehouses, and Power BI. The ideal candidate will work closely with stakeholders to ensure data accuracy, accessibility, and visualization for business intelligence needs.

Role and Responsibilities :

  • Design, develop, and maintain data pipelines using Microsoft Fabric to ingest, transform, and load data from various sources
  • Implement data storage solutions using Azure Data Lake, OneLake, and Data Warehouses to optimize performance and accessibility
  • Develop and maintain semantic data models, ensuring data accuracy, consistency, and security
  • Build and optimize Power BI reports, dashboards, and visualizations to support business intelligence needs
  • Work closely with stakeholders to design and implement user-friendly reporting solutions
  • Implement row-level security (RLS) and other governance measures in Power BI
  • Monitor and manage Fabric Capacity Metrics to optimize data infrastructure performance
  • Leverage Microsoft Purview for data governance and metadata management
  • Maintain data quality and integrity, ensuring compliance with organizational and industry standards
  • Work with Komline data Subject Matter Exprts (SMEs) to translate business needs into data solutions
  • Provide training and best practices to end-users to better understand the data we have available and to leverage Power BI and self-service analytics
  • Continuously improve data processes, identifying opportunities for automation and efficiency

Qualifications :

  • 3+ years of experience in data engineering, business intelligence, or a related field
  • Strong proficiency in Microsoft Fabric tools (Data Pipelines, OneLake, Data Warehouses, Azure Data Lake, etc.)
  • Hands-on experience with Power BI, including DAX, Power Query (M), and Power BI Service
  • Expertise in SQL and data modeling, with experience designing efficient and scalable data structures
  • Ability to develop and maintain ETL / ELT pipelines for data ingestion and transformation
  • Experience working with stakeholders to define reporting and analytics requirements
  • Microsoft DP-600 or DP-700 certification (Fabric Analytics Engineer or Data Analyst)
  • Experience with Power Platform (Power Apps, Power Automate)
  • Nice to Have :

  • Familiarity with data governance tools like Microsoft Purview
  • Strong understanding of data security, access control, and compliance best practices
  • Good customer engagement and collaboration
  • Equal Opportunity Statement : Komline is an EEO Employer- M / F / Vets / Disabled

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