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Ampstek in United States, Ohio, is seeking a data engineer to design, develop, and optimize scalable data pipelines and lakehouse architectures on Azure, with strong Scrum experience. You will build ETL/ELT solutions using Azure Databricks, Azure Data Factory, Delta Lake, and ADLS; optimize Spark workloads and Delta tables for performance and scalability.
You will develop workflows, ensure data quality and security, collaborate with cross-functional teams, and support CI/CD and Git-based
Design, develop, and optimize scalable data pipelines and lakehouse architectures on Azure. someone with strong scrum experience
Build ETL/ELT solutions using Azure Databricks, Azure Data Factory (ADF), Delta Lake, and Azure Data Lake Storage (ADLS).
Optimize Spark workloads, SQL Warehouses, and Delta tables for performance and scalability.
Develop and orchestrate workflows using Databricks Jobs and scheduling frameworks.
Ensure data quality, governance, security, and operational reliability.
Collaborate with business, analytics, and engineering teams to deliver data-driven solutions.
Support Git-based development, CI/CD, and deployment processes.
Ability to interact with Business and IT stakeholders and drive Scrum ceremonies.