Azure Data Engineer

Overview

Hybrid
Depends on Experience
Contract - W2
Contract - 12 Month(s)

Skills

ASA
Agile
Alteryx
Analytics
Apache Cassandra
Apache Spark
Cloud Computing
Computer Engineering
Computer Science
Continuous Delivery
Data Analysis
Data Engineering
Data Lake
Data Warehouse
Databricks
DevOps
EDC
GitHub
IBM Cognos Analytics
Informatica
Information Systems
Jenkins
Management Information Systems
Microsoft Azure
Microsoft Power BI
MongoDB
PL/SQL
Privacy
Python
SQL
Scripting
Snow Flake Schema
Software Development
Storage
Tableau
Teradata
Tivoli
Training
Unix

Job Details

Job Title: Azure Data Engineer
Location: Fort Worth, Texas, USA 76155 (Hybrid)
Duration: 12+ Months

Must Have Skills

  • Azure Data Factory
  • Azure EventHub
  • Azure Databricks

Job Details

  • Bachelor s degree in Computer Science, Computer Engineering, Technology, Information Systems (CIS/MIS), Engineering or related technical discipline, or equivalent experience/training
  • 8+ years of overall experience
  • Software solution development using agile, DevOps, operating in a product model that includes designing, developing, and implementing large-scale applications or data engineering solutions
  • Data analytics experience using SQL
  • Cloud development and data lake experience (prefer Microsoft Azure) including Azure EventHub, Azure Data Factory, Azure Databricks, Azure DevOps, Azure Blob Storage, Azure Data Lake, Azure Power Apps and Power BI
  • Combination of Development, Administration & Support experience in several of the following tools/platforms required:

Scripting: Python, Spark, Unix, SQL
Data Platforms: Teradata, Cassandra, MongoDB, Oracle, SQL Server, ADLS, Snowflake, Azure Data Explorer. Administration skills a plus
Azure Cloud Technologies: Azure Data Factory, Azure Databricks, Azure Blob Storage, Azure Data Lake, Azure Power Apps and Azure Functions
CI/CD: GitHub, Jenkins, Azure DevOps, Terraform
BI Analytics Tool Stack: Cognos, Tableau, Power BI, Alteryx, Denodo, and Grafana
Clear understanding on Data Warehousing concept Data Governance and Privacy: Informatica Axon and EDC, BigID
Orchestration: Azure Data Factory, Tivoli

Preferred Qualifications Education & Prior Job Experience

  • Software solution development using agile, dev ops, product model that includes designing, developing, and implementing large-scale applications or data engineering solutions
  • 5 7 years data analytics experience using SQL
  • 5 7 years of cloud development and data lake experience (prefer Microsoft Azure) including Azure Data Factory, Azure Databricks, Azure DevOps, Azure Blob Storage, Azure Data Lake, Azure Power Apps and Power BI
  • Azure (Data Factory, Azure Functions, ADX, Event Hub, ASA) experience
  • Airline Industry Experience

Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.