Azure Data Engineer: Data Architecture Expert

1 day ago


Pasco, Washington, United States Ciber Full time

As a Data Engineer at HTC Global Services, you will play a critical role in expanding and optimizing data and pipeline architectures. With a strong background in data engineering and experience working with Azure, you will be responsible for ensuring the smooth flow of data across functional teams.

Job Description:
  • 10+ Years of Data Experience with Databricks experience is required.

In this role, you will assist software developers, database architects, data analysts, and data scientists with data initiatives and ensure a consistent data delivery architecture is put in place throughout ongoing projects.

Responsibilities:
  • Assure that data is cleansed, mapped, transformed, and otherwise optimized for storage and use according to business and technical requirements
  • Develop and maintain innovative Azure solutions
  • Solution design using Microsoft Azure services and other tools
  • The ability to automate tasks and deploy production standard code (with unit testing, continuous integration, versioning etc.)
  • Load transformed data into storage and reporting structures in destinations including data warehouse, high speed indexes, real-time reporting systems and analytics applications
  • Build data pipelines to collectively bring together data
  • Other responsibilities include extracting data, troubleshooting and maintaining the data warehouse
Tech Stack:
  • Python
  • SQL and NoSQL databases
  • Scala
  • Spark-SQL
  • Experience with Azure: ADLS, Databricks, Stream Analytics, SQL DW, COSMOS DB, Analysis Services, Azure Functions, Serverless Architecture, ARM Templates
Qualifications:
  • Previous experience as an Azure Data Engineer or similar role
  • Experience building and optimizing 'big data' data pipelines, architectures, and data sets
  • Strong analytic skills related to working with unstructured datasets
  • The ability to design and implement well-written code
  • Ability to work to tight deadlines
  • Ability to test the data from source to the presentation layer
  • Ability to support/troubleshoot data pipelines
  • Confident and concise communication skills, with the ability to drive alignment, collaboration, and efficiency

Estimated salary range: $180,000 - $250,000 per year, depending on location and experience.



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