Lead Data Engineer | Charlotte, NC

Charlotte, NC, US • Posted 9 hours ago • Updated 9 hours ago
Full Time
No Travel Required
On-site
Depends on Experience
Fitment

Dice Job Match Score™

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Job Details

Skills

  • Amazon Web Services
  • Data Engineering
  • Cloud Computing
  • Apache Spark
  • Databricks
  • ELT
  • Python
  • PySpark
  • Mentorship
  • Conflict Resolution
  • Extract, Transform, Load
  • SQL
  • Workflow
  • Microsoft Azure

Summary

Job Description:
We are looking for a Senior/Lead Databricks Data Engineer to support a strategic data engineering initiative. The ideal candidate should have strong hands-on experience with Databricks, PySpark, Python, and SQL.
Key Responsibilities:
  • Design and develop scalable data pipelines using Databricks and PySpark.
  • Develop ETL/ELT pipelines using Python and SQL.
  • Work with Delta Lake and Lakehouse architecture.
  • Optimize Spark/Databricks jobs for performance and scalability.
  • Work with cloud data platforms such as Azure/AWS.
  • Develop and maintain Databricks workflows and data pipelines.
  • Collaborate with architects, developers, and business teams.
  • Troubleshoot and resolve data engineering issues.
Required Skills:
  • Strong hands-on experience with Databricks.
  • Strong PySpark/Spark, Python, and SQL skills.
  • Experience with Delta Lake/Lakehouse.
  • Experience with Azure Databricks or other cloud platforms.
  • Strong understanding of data pipelines and ETL/ELT.
Important: This is a 100% onsite position in Charlotte, NC. Candidates must be willing to work onsite.
 
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: 10121769
  • Position Id: 9078413
  • Posted 9 hours ago
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IK

Imran khan

Recruiter @ Central Business Solutions
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