Data Engineer

Minneapolis, MN, US • Posted 4 hours ago • Updated 4 hours ago
Full Time
On-site
Fitment

Dice Job Match Score™

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Job Details

Skills

  • Python
  • PySpark
  • SQL
  • Database Performance Tuning
  • Databricks
  • Extract
  • Transform
  • Load
  • ELT
  • Data Modeling
  • Data Warehouse
  • Big Data
  • Cloud Computing
  • Microsoft Azure
  • Amazon Web Services
  • Conflict Resolution
  • Problem Solving
  • Analytical Skill
  • Apache Spark
  • Optimization
  • Workflow
  • Orchestration
  • Continuous Integration
  • Continuous Delivery
  • DevOps
  • Data Engineering

Summary

Data Engineer

Location: Minnesota (MN)

Job Description:We are seeking an experienced Data Engineer with strong expertise in Python, PySpark, SQL, and Databricks to design, develop, and optimize scalable data pipelines and ETL processes. The ideal candidate should have hands-on experience working with large-scale datasets, data warehousing, and cloud-based data platforms.

Required Skills:
  • Strong experience in Python and PySpark
  • Expertise in SQL and database performance tuning
  • Hands-on experience with Databricks
  • Experience building and maintaining ETL/ELT pipelines
  • Knowledge of Data Modeling, Data Warehousing, and Big Data concepts
  • Experience with cloud platforms such as Azure or AWS
  • Strong problem-solving and analytical skills

Preferred Skills:
  • Experience with Delta Lake, Spark Optimization, and workflow orchestration tools
  • Knowledge of CI/CD and DevOps practices for data engineering
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.
  • Dice Id: 90933573
  • Position Id: e7c7bc4d245d901a614e68e630304f07
  • Posted 4 hours ago
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