Data Engineer with Databricks and PySpark

Minneapolis, MN, US • Posted 19 hours ago • Updated 12 hours ago
Full Time
On-site
Fitment

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Job Details

Skills

  • Collaboration
  • Data Processing
  • Scala
  • Extract
  • Transform
  • Load
  • Unstructured Data
  • Cloud Computing
  • Management
  • Databricks
  • Data Quality
  • Oracle
  • Migration
  • Informatica
  • PySpark
  • Database
  • Unix

Summary

Data Engineer with Databricks and PySpark

Minneapolis, MN

Onsite from day 1

  • Design, develop, and optimize data pipelines and transformations using PySpark and Databricks.
  • Collaborate with data architects and analysts to define and implement data processing needs.
  • Write production-grade PySpark/Scala code for ETL and data transformation.
  • Integrate structured and unstructured data across cloud platforms.
  • Manage and configure the Databricks environment, including clusters and notebooks.
  • Troubleshoot and resolve issues related to Databricks performance and functionality.
  • Exp in DLT Framework is critical
  • Exp in Expectation framework is essential (Implement data quality checks and monitor processes.)
  • Knowledge in Migration Project
  • Informatica and Oracle skill is mandatory as the Program is migration from Informatica to Pyspark in DB
  • Good exp in AIRFLOW DAG creation, UNIX

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: 10236892
  • Position Id: OOJ - 4468-3469-1774277627
  • Posted 19 hours ago
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