Similar Jobs
Artificial Intelligence • Big Data • Healthtech • Information Technology • Machine Learning • Software • Analytics
Design, build, and optimize data pipelines on Azure. Implement event-driven architectures and microservices, ensuring reliability and performance. Collaborate with teams to maintain SLAs and document solutions.
Top Skills:
Azure Data FactoryAzure DatabricksAzure FunctionsAzure Key VaultAzure PipelinesCi/CdDelta LakePysparkService BusSparkSQL
Artificial Intelligence • Consulting
Responsible for L2 technical support for data platforms, advanced troubleshooting, code-level fixes, and ensuring SLA compliance. Requires strong skills in Azure Data Factory, Databricks, SQL, and Python for performance tuning and data reliability.
Top Skills:
Azure Data FactoryAzure ServicesCi/Cd PipelinesDatabricksPythonSQL
Angel or VC Firm
Seeking a Senior Data Engineer to design and govern enterprise data platforms using Microsoft Azure and Microsoft Fabric. Responsibilities include implementing data quality frameworks and managing data governance, ensuring data reliability.
Top Skills:
AzureMicrosoft FabricPysparkPythonSQL
ProArch is hiring a skilled Azure Data Engineer to join our team. As an Azure Data Engineer, you will be responsible for designing, implementing, and maintaining data processing systems using Azure technologies. Additionally, you will collaborate with cross-functional teams to understand business requirements, identify opportunities for data-driven improvements, and deliver high-quality solutions. If you have a strong background in Azure data tools and technologies, excellent problem-solving skills, and a passion for data engineering, we want to hear from you!
Responsibilities:
- Design, develop, and implement data engineering solutions on the Azure platform
- Create and maintain data pipelines and ETL processes
- Optimize data storage and retrieval for performance and scalability
- Collaborate with data scientists and analysts to build data models and enable data-driven insights
- Ensure data quality and integrity through data validation and cleansing
- Monitor and troubleshoot data pipelines and resolve any issues
- Stay up-to-date with the latest Azure data engineering best practices and technologies
- Excellent communication skills
- Strong experience in Python/Pyspark
- The ability to understand businesses concepts and work with customers to process data accurately.
- A solid of understanding Azure Data Lake, Spark for Synapse (or Azure Databricks), Synapse Pipelines (or Azure Data Factory), Mapping Data Flows, SQL Server, Synapse Serverless/Pools (or SQL Data Warehouse).
- Experience with source control, version control and moving data artifacts from Dev to Test to Prod.
- A proactive self-starter, who likes deliver value, solves challenges and make progress.
- Comfortable working in a team or as an individual contributor
- Good data modelling skills (e.g., relationships, entities, facts, and dimensions)
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