Why This Role Stands Out
This Lead Data Engineer role offers a significant opportunity to shape critical data initiatives and mentor a team within a reputable company. You'll thrive here if you possess extensive experience with Databricks, PySpark, and cloud platforms, and are eager to drive impactful data solutions. Apply now to advance your career in this exciting on-site position.
Quick Overview
Seniority
Mid Senior
Work mode
On Site
Location
Charlotte, NC, United States
Posted
3 weeks ago
SQLAWSETLAzureDatabricksPython
Job Description
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:
- 12+ years of experience in Data Engineering.
- 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.
- Excellent communication and problem-solving skills.
- Experience leading technical initiatives, mentoring engineers, and working with stakeholders.
Important: This is a 100% onsite position in Charlotte, NC. Candidates must be willing to work onsite.
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