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Data Engineer - Python/Pyspark/Data Lake - Hybrid, Dallas, TX

Data Engineer - Python/Pyspark/Data Lake - Hybrid, Dallas, TX
TechFetch.com - On Demand Tech Workforce hiring platform
2 months ago

Description

"ALL our jobs are US based and candidates must be in the US with valid US Work Authorization. Please apply on our website directly."

Details

Designs, develops, and implements using the skillset Pyspark, Azure Databricks, Azure Data Factory, Python, Structured Streaming, Basics of Azure, Knowledge of Data Lake, Data Warehouse concept, Knowledge of SQLs, creates design documents, and performs program coding and testing. Resolves technical issues through debugging, research, and investigation.

Experience/Skills Required

  • Bachelor's degree in Computer Science, Information Technology, or related field
  • 5+ years experience in computer programming, software development or related
  • 3+ years of solid Java
  • 3+ years experience in design, implementation, and support of Data Lake, Python and Azure Data bricks
  • Hands-on experience with Unix, Teradata, and other relational databases
  • Experience with Pyspark is a plus
  • Strong communication and problem-solving skills

Additional Information

  • Top 3 skills needed/required: React, Azure cloud, HTML, CSS, Node, npm, Redux
  • Skills and/or experience to stand out: At least 3+ Yrs of experience in the relevant area
  • Day-to-day responsibilities: Focusing on the features development, maintenance, and support
  • Project: Sam's Promotions
  • Contribution to the project: Working on the business critical deliverables
  • Team Makeup: With 5+ in one scrum team
  • Please note that they will NOT accept any remote resources. This position is required to be onsite 2 days per week 8am-5pm CST.

Additional Job Details

  • Required skillset: Pyspark, Azure Databricks, Azure Data Factory, Python, Structured Streaming, Basics of Azure, Knowledge of Data Lake, Data Warehouse concepts and Knowledge of SQLs
  • Minimum 3+ Yrs of experience in the relevant area
  • Fully Remote is not an option. Resource should be in office 2 days per week
  • Required Skills: Data Warehouse
  • Additional Skills: Data Engineer

Expertise level

Work arrangement

Key skills

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