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Azure Data Engineer
at Spyglass
Boston, MA

Azure Data Engineer
at Spyglass
Boston, MA

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Description

Description:

As a Consultant at Spyglass MTG, you will be working on projects to develop technology solutions for a variety of clients in industries such as Financial Services, Healthcare, Life Sciences, Manufacturing and Higher Education. Client locations are typically located in the Greater Boston and New England area. You will be working in a team environment that consists of Spyglass and Client members.


As an Azure Data Engineer, you will join our growing Azure Data and Analytics practice. We are looking for a Data Engineer to collect, aggregate, store, and reconcile data to Azure in support of Client business decisions. You will help design and build data pipelines, data streams, and data service APIs on Azure which drive data driven end-user information portals and insight tools. You will be a critical part of the data supply chain, ensuring that our clients can access and manipulate data for routine and ad hoc analysis to drive business outcomes using Advanced Analytics at terabyte size data scale. You will analyze the business, functional, and technical issues in order to successfully implement innovative BI solutions on Azure. You will be integral to the design, development, and delivery of all modern BI solutions on Azure for our clients.


Candidate Expectations:

  • Build processes supporting data transformation, data structures, metadata, dependency and workload management.
  • Experience with data pipelining into Azure.
  • Experience with one or more languages: Python & Pyspark, T-SQL, SparkR & R, Scala.
  • Experience with code deployment in Azure Databricks environment.
  • Familiarity with DevOps tools like Azure DevOps, Jenkins, Maven etc.
  • Experience working with Azure data integration techniques & self-service data preparation.
  • Assist business users on functional and data requirements to enhance data models and pipelines.
  • Experience in requirements analysis, design and prototyping.
  • Experience deploying modern data solutions leveraging components like Azure functions, Azure Data Factory, Data Flows, Azure Data Lake, Azure SQL, Azure Synapse, Streaming Analytics and more.


. Requirements:

Basic Qualifications:

  • 1+ years of experience with Azure SQL, Azure Synapse and other Cloud Data Services.
  • 1+ years of experience with version control and DevOps or DataOps.
  • 2+ years programming with SQL, Python, Scala or R.
  • 2+ years developing, deploying, and testing data pipelines in Azure.
  • 2+ years of data engineering with Hadoop, Spark, Databricks, SSIS or other data integration tool.
  • 3+ years of working experience with SQL Server, data warehousing and data analytics projects.


Preferred Qualifications:

  • 2+ years of experience with Azure Data Factory and Informatica.
  • 3+ years of experience in Python, Scala, or Java.
  • 3+ years of experience data engineering in Azure.
  • MS data engineering certification.


Benefits:

  • Medical, Vision and Dental Plans
  • Life and Disability Insurance
  • Open PTO Policy
  • Holiday PTO
  • Paid training certification
  • Bonus plan
  • 401k
  • Flexible working arrangements
  • & more

All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, transgender status, national origin, citizenship, age, disability or protected veteran status.


PM19


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