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In-depth knowledge of Azure cloud data solutions, relational databases, ETL/ELT architecture and concepts, data integration concepts and big data concepts. As an Azure Data Engineer, master data integration and ETL tools crucial for seamless data processing.
Full-timeExpandApply NowActive JobUpdated 14 days ago - UpvoteDownvoteShare Job
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Providing guidance and support for data governance, including metadata management, data lineage, and data cataloging. Ensuring data quality and consistency through data cleaning, transformation, and integration processes.
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Expertise in data warehousing solutions and big data technologies (e.g., Hadoop, Spark), with a strong understanding of data modeling, ETL processes, stored procedures, and data integration techniques.
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The Data Management Suite team is building products that cover the whole lifecycle of data pipeline, including data ingestion and Integration, data development, data catalog, data security and data governance.
Full-timeExpandApply NowActive JobUpdated 12 days ago - UpvoteDownvoteShare Job
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Experiences in data platform related products development or big data technologies (such as Hadoop, Clickhouse, Flink etc.) Responsible for the design and development of integrations with other systems in the big data area.
$126,000 - $338,560 a yearFull-timeExpandApply NowActive JobUpdated 5 months ago - UpvoteDownvoteShare Job
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Designing and implementing scalable and secure data processing pipelines using Azure Data Factory, Azure Databricks, and other Azure services. A strong grasp of Microsoft Azure, covering a spectrum of services for seamless deployment, scaling, and management of data solutions, leveraging the power of the cloud.
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Keeping abreast of the latest Azure features and technologies to enhance data engineering processes and capabilities. Managing and optimizing data storage using Azure Data Lake Storage, Azure SQL Data Warehouse.
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Job Title Engineer (Cloud Big Data / Scala / Spark) Design, build, manage and optimize cloud native distributed backend services, data pipelines and data storage solution using Spring Boot, Spark Streaming, Kafka, MongoDB, Cloud Structured Query Language (SQL), GCS, and Big Query while implementing data security and access controls using GCP's Identity and Access Management (IAM) and Cloud Security Command Center.
$85,000 - $120,750 a yearFull-timeExpandApply NowActive JobUpdated 30 days ago - UpvoteDownvoteShare Job
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Supports critical data pipelines with a scalable distributed architecture, including data ingestion (streaming, events, and batch), data integration (ETL, ELT, Azure Data Factory), and distributed data processing using Databricks Data/or other & Analytics and Azure Cloud Technology Stacks.
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Data and Analytics Enablement team with The Hartford's Enterprise Data Office is seeking Senior Data Engineer primarily responsible for enabling various Cloud Data Integration services for the Enterprise.
$113,360 - $170,040 a yearFull-timeExpandApply NowActive JobUpdated 1 month ago - UpvoteDownvoteShare Job
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Experience with big data technologies and frameworks (e.g., Hadoop, Spark) and cloud-based data platforms (e.g., AWS, Azure, Google Cloud Platform). Strong knowledge of data engineering concepts, data integration, ETL processes, and data warehousing principles.
Full-timeRemoteExpandApply NowActive JobUpdated 1 month ago - UpvoteDownvoteShare Job
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Implement best practices for data modeling, data integration, data quality, and data governance to ensure the integrity and reliability of our data. Hands-on experience with big data technologies such as Hadoop, Spark, Kafka, or similar frameworks.
Full-timeExpandApply NowActive JobUpdated 6 days ago - UpvoteDownvoteShare Job
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Experience with cloud platforms (e.g., AWS, Azure, GCP) and big data technologies (e.g., Hadoop, Spark) is desirable. - Establish and enforce data governance policies and procedures to ensure data quality, consistency, and compliance.
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Proficiency in Profisee MDM Integration, Change Data Capture implementation, and data quality and governance with Azure Purview. Position Summary: Lead data engineer provides technology-specific expertise in developing blueprints for analytics applications using Big Data infrastructure.
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Data Management architectures like Data Warehouse, Data Lake, Data Hub and the supporting processes like Data Integration, Governance, Metadata Management.
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big data governance integration jobs Title: data engineer
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