Hybrid in Philadelphia, Pennsylvania
•
Today
Job Description Design and implement scalable data solutions using Databricks on Azure or AWS.Build and optimize ETL/ELT pipelines for large-scale data processing.Develop data lake and data warehouse architectures.Work with Spark, PySpark, SQL, and Delta Lake for data engineering solutions.Collaborate with business and technical teams to gather requirements and design solutions.Ensure data security, governance, and performance best practices.Integrate Databricks with cloud services such as Azur
Easy Apply
Contract, Third Party
Depends on Experience






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