Why This Role Stands Out
This Senior/Lead Databricks Data Engineer role offers a fantastic opportunity to architect and build cutting-edge data solutions within a reputable company. You'll thrive here if you possess strong Databricks, PySpark, and SQL expertise, and enjoy collaborating on impactful data initiatives. Apply today to advance your career in a dynamic, hybrid work environment!
Quick Overview
Seniority
Mid Senior
Work mode
On Site
Location
Charlotte, NC, United States
Posted
Yesterday
SQLAWSETLAzureDatabricksPython
Job Description
Position: Senior / Lead Databricks Data Engineer
Location: Charlotte, NC
Work Arrangement: Onsite(Hybrid - 3 days onsite)
Location: Charlotte, NC
Work Arrangement: Onsite(Hybrid - 3 days onsite)
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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