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Artificial Intelligence • Big Data • Machine Learning
Develop and implement data integration solutions in Azure, ensuring data quality, governance, and performance optimization, while collaborating with cross-functional teams.
Top Skills:
Azure Data FactoryAzure Data Lake StorageAzure DatabricksAzure Sql DatabaseAzure SynapseC#JavaAzurePythonSQL
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
Information Technology
Manage data engineering projects, develop and maintain data pipelines, ensure data quality and security, and optimize data processes. Collaborate with teams for data requirements and stay updated on emerging technologies.
Top Skills:
AzureData Engineering Tools
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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