Data Engineer

Full Time
Beverly, MA 01915
Posted
Job description

Data Engineer

102 Cherry Hill Drive

Beverly, MA 01915


Description:


The Data Engineer role is a member of the IT Department and spends majority of time designing and implementing data services. This includes the management, monitoring, security, and privacy of data. Job responsibilities include the following:

  • Improve data quality and efficiency
  • Develop and maintain system integrations (ERP, CRM, HRIS, Travel and Expense, LMS, etc.)
  • Develop and maintain tabular and multi-dimensional data models
  • Combine raw information from different sources
  • Build data systems and pipelines
  • Analyze and organize raw data
  • Data cleansing using Power Query M, Data Analysis Expression (DAX) and visualizations using Power BI reports and dashboards for Sales, Service, Finance, and commissioning department
  • Debugging of DAX expressions and measures in Power BI. Scheduling refresh of datasets, and handling access management
  • Develop and maintain data sets, analytical tools, programs, reports, and dashboards
  • Deploying Power BI reports in BI Service and Microsoft Teams
  • Process automations using Microsoft Power Automate and Microsoft Forms
  • Engage with business and understand needs and objectives, maintain requirements documentation
  • Perform system administration, configuration management, and documentation as needed
  • Provide escalation technical support coverage to end user community for IT issues

Requirements:


Must have BS in Computer Science, IT or related field and 5 years of experience with software development and data engineering. We will also accept MS in Computer Science, IT or related field and 2 years of experience with software development and data engineering.

Experience must include the following:

  • Working with data models, data mining, and segmentation techniques
  • Hands-on experience with PowerBI
  • Hands-on experience with SQL database design (OLTP, OLAP)
  • Hands-on experience of ETL/ELT development and production deployment
  • Hands-on experience with ETL/ELT tools (Azure Data Factory, SQL Server Integration Services, Informatica, Talend, Matillion, etc.)
  • Hands-on experience with data warehouse development and production operations
  • Using programming languages (Python, C#)
  • Working with Data Analysis Expressions (DAX)
  • Working with Multidimensional Expressions (MDX)


Send Resumes to: Lee Merrill LMerrill@highresbio.com.

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