Data Engineer: AWS, Databricks & PySpark Pipelines
REPAY
REPAY is seeking a Data Engineer to design, build, and maintain scalable, cloud-based data pipelines and data models. You will optimize PySpark/SQL workloads, work with Databricks and AWS, and partner with BI, Product, and Engineering teams to deliver reliable data solutions. The role requires 3–5 years in data engineering, strong Python/SQL skills, and experience with CI/CD and data warehousing concepts. Join a fast-growing fintech with a strong culture and career growth opportunities. #J-18808-Ljbffr REPAY
Vacancy posted 4 days ago
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