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This includes Git, Git Flow, and Azure DevOps Understanding of data transformation practices including ETL, ELT, data modeling, data warehousing, and data lake.
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Certifications/Licenses: AWS Certified Solution Architect, AWS Certified DevOps Engineer, AWS Certified Developer, Microsoft Certified Azure Solution Architect, Microsoft Certified Azure DevOps Engineer, Microsoft Certified Azure Developer, Certified Kubernetes Administrator (CKA), Certified Kubernetes Application Developer (CKAD), EXIN DevOps Master, Finops.
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Our client, a leading provider of Artificial Intelligence Integration Services and innovative data platforms for government and defense clients is seeking a full-time Azure DevOps Engineer.
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Summary: Under the supervision of the Team Lead, Data Integration, the Azure Data Integration Engineer will be for designing, developing, implementing, and maintaining data integration solutions using Azure Data Factory, Azure Databricks, and SQL Server Integration Services.
$140,000 a yearFull-timeExpandApply NowActive JobUpdated 1 month ago - UpvoteDownvoteShare Job
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Should have in depth understanding on Data Warehousing, Master Data Management (MDM), Data Quality, Data Lineage, Data Modeling, Data Profiling and Data Policy and handled Data Governance programs.
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Background as a data engineer/developer utilizing Azure ELT/ETL technologies such as ADF, Snowflake, and Databricks. Agile methodologies (preferably Azure DevOps) Campbell Soup is seeking a Solution Architect V with extensive experience in solution architecture and a strong background in data engineering and development utilizing Azure cloud technologies.
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5+ years in designing, solutioning the Databricks, Snowflake, PySpark and Big data tools including DataOps, Data engineering, Data Integration, Data Orchestration and Data Marketplace.
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1+ years experience with GCP/Azure Cloud Big Data tools (PowerBI/DataLake/ Azure Databricks). Sr Data Engineer- Big Data/Python/Databricks. We are hiring highly enthusiastic Python/Databricks engineers to create, tune, maintain and build reporting for the Big Data platforms that drive their retail business.
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Experience with CI/CD tools such as Jenkins, AWS CodePipeline, Azure DevOps, or GitHub. Manages data governance and DLP policies, including allowed and unallowed connectors or integration points.
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Knowledge of Data Streaming products such as Kafka, Confluent Platform, Azure Eventhub, Azure Streaming Analytics, Azure Data Factory, Azure Synapse, Databricks, Google BigQuery and Google PubSub, SAP Data Intelligence and SAP DataSphere.
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Design and development of Azure DevOps CI/CD pipelines for Azure Data Factory, Azure Databricks, Azure SQL, and Azure Synapse. Version control systems for code management and artifact tracking such as GitHub, Jira or Azure DevOps.
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Technical Skills: Proficient in Azure services such as Azure VMs, Azure SQL Database, Azure App Services, Azure Functions, Azure Active Directory, and Azure DevOps. Strong experience with infrastructure as code (IaC) using tools like Azure Resource Manager (ARM) templates, Terraform, or Bicep.
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Ideally background in large dataset management, with familiarity with optimization software (GAMS), Python, and energy systems and/or weather data 3-5 years experience with experience with data mapping/ingestion/pipelines preferred experience with Azure Databricks, SQL, DBT, and DVC3-5 years of demonstrated experience working in technical environment where Agile and DevOps principles were applied.
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A risk professional within the Governance and Controls Office (GCO), responsible for the execution and support of various risk programs including but not limited to third party risk management, model risk management, internal loss events, and external loss events.
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Execute on change and regulatory change risk, external events, data, model, third party and cyber risk in support of the assigned business unit. Risk program execution, model, or third party experience.
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