Data Engineer, IT Analytics

Industry: Private

Employment Type:- Full Time

Work Hours:-  8 Hours

Locations:- USA

Full Job Description:-

Work closely with source data application teams and product owners to design, implement and support  analytics solutions that provide insights to make better decisions. Implement data migration and data engineering solutions using  Azure products and services: (Azure Data Lake Storage, Azure Data Factory, Azure Functions, Event Hub, Azure Stream Analytics, Azure Databricks, etc.) and traditional data warehouse tools. Perform multiple aspects involved in the development lifecycle – design, cloud engineering (Infrastructure, network, security, and administration), ingestion, preparation, data modeling, testing, CICD pipelines, performance tuning, deployments, consumption, BI, alerting, prod support. Provide technical leadership and collaborate within a team environment as well as work independently. Be a part of a DevOps team that completely owns and supports their product. Implement batch and streaming data pipelines using cloud technologies. Lead development of coding standards, best practices and privacy and security guidelines.

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Job Qualifications

  • 3 years data analytics experience using SQL
  • 3+ years of cloud development and data lake experience (prefer Microsoft Azure) including Azure EventHub, Azure Data Factory
  • Azure Development Track Certification (preferred)
  • Expertise in providing practical direction within the Azure Native cloud services

Required Skills

  • GitHub
  • Tableau
  • Teradata
  • Cognos
  • Cassandra
  • Power BI
  • Grafana
  • Time Management Skills
  • Azure Databricks
  • Administration skills

Soft Skills

  • Verbal communication
  • Driven and self-motivated
  • written communication
  • Problem Solving Skills
  • Flexibility/Adaptability
  • Detail oriented and highly organized
  • Multi tasker

Data Engineer, IT Analytics

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