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Artificial Intelligence • Big Data • Cloud • Information Technology • Machine Learning
The Senior Data Engineer will design, build, and manage data pipelines using Azure services while ensuring data quality and compliance. This role involves collaboration with cross-functional teams and mentoring junior engineers.
Top Skills:
Arm TemplatesAzure Active DirectoryAzure Data FactoryAzure DatabricksAzure DevopsAzure Event HubsAzure Synapse AnalyticsBicepKafkaAzurePower BIPysparkPythonScalaSQLTerraform
Information Technology • Consulting
Design, develop, and optimize data solutions using Microsoft Azure technologies. Develop ETL pipelines and collaborate with stakeholders on data requirements.
Top Skills:
Azure Data FactoryAzure Data LakeAzure Sql DatabaseAzure Synapse AnalyticsETLPower BIPythonSparkSQL
Sharing Economy
Design, build, and maintain data infrastructure for integration and analytics. Lead architecture and development projects within the Aviation Industry, focusing on Azure and Databricks. Mentor junior staff and collaborate with teams on data solutions.
Top Skills:
AzureAzure Data LakeAzure DevopsDatabricksDbtDelta LakeDevOpsGitKafkaPower BIPysparkPythonSparkSQLSynapseUnity Catalog
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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