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Senior Data Engineer
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Senior Data Engineer
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Senior Data Engineer

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1 Vacancy
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Job Location

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- USA

Monthly Salary

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Not Disclosed

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Salary Not Disclosed

Vacancy

1 Vacancy

Job Description

Req ID : 2652701

JOB: Senior Data Engineer

Locations: Hybrid work schedule works out to 3 days in office a week at their Plano TX

Education: Bachelors or foreign equivalent degree in MIS computer science or a related field required

Experience:

  • 15 years of experience developing datarelated solutions and software
  • 10 years of experience they are a Microsoft with Power BI shop so moving data across those platform will be key.
  • Build and deploy extract transform and load (ETL) or ETA tools including both batch and realtime data transmission applications
  • Code and test multiple programming languages IT infrastructure standards and tools
  • 3 years of experience leading technical team members

The DaytoDay:

  • Develop configure customize and manage integration tools databases warehouses systems with the use of data related software
  • Design build and deploy data extraction transformation and loading processes and pipelines from various sources including databases APIs and data files
  • Develop and deploy structured semistructured and unstructured data storage models such as data vault or dimensional modeling on a variety platforms to meet the requirements
  • Coordinate security application monitoring development tooling and related capabilities with responsible teams
  • Provide operational support and incident management for data pipelines and data flows including proactively updating internal clients and relevant parties on status changes and issues encountered
  • Author and maintain accurate and uptodate documentation for processes procedures and technical designs
  • Coach junior data and business intelligence personnel across the company including developing material and mentoring and guiding junior personnel on their technical skill growth

Employment Type

Full Time

Company Industry

Key Skills

  • Apache Hive
  • S3
  • Hadoop
  • Redshift
  • Spark
  • AWS
  • Apache Pig
  • NoSQL
  • Big Data
  • Data Warehouse
  • Kafka
  • Scala

About Company

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