Design, build, and maintain production grade ETL/ELT pipelines using SQL, Python, PySpark, and Spark SQL, and collaborate with Lead Engineers and Data Architects on on-prem to cloud migration initiatives.
Requirements
- 7+ years of experience in Data Engineering, Analytics Engineering, or a related technical role.
- Strong hands-on experience with SQL, Python, PySpark, and Spark SQL in distributed data environments.
- Proven experience building and supporting enterprise-scale ETL/ELT pipelines in the cloud.
- Strong experience with Azure-based data platforms, including Azure Synapse Analytics and/or Microsoft Fabric.
- Solid understanding of cloud-native data architectures, analytics engineering patterns, and medallion architectures.
- Experience with Git-based source control, CI/CD pipelines, and automated testing for data platforms.
- Strong problem-solving skills and experience supporting mission-critical production data systems.
- Proven ability to collaborate across engineering and business teams and mentor junior engineers.
Benefits
- Generous Paid Time Off
- 401k Matching
- Retirement Plan
- Tuition Reimbursement
- Relocation Assistance
To apply for this job please visit soti.wd3.myworkdayjobs.com.
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