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Design platform architecture with Azure Cloud Services and Databricks Delta Lake. Create and publish guidelines for Data Integration services. Mastery of Azure Data Factory (ADF) for integration.
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Reporting to the Chief Information Officer the Data Engineer is primarily responsible for developing and maintaining robust data integration pipelines between various systems such as internal OLTP databases, third-party vendor platforms, and an Enterprise Data Warehouse (EDW), scoping requirements for advanced reports, developing metrics and dashboards, and making recommendations for process improvement based on analysis of historical data.
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Five years of development experience with cloud services (e.g. AWS/Azure) utilizing various support tools (e.g. EC2, ECS, S3, Kinesis, VMs, Blob, Cosmos, Data Factory, SQL Data warehouse, ARM Templates, Event Hubs.
$160,000 - $210,000 a yearFull-timeExpandApply NowActive JobUpdated 3 months ago - UpvoteDownvoteShare Job
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Program SCADA system integration includingbut not limited to data acquisition, alarming, HMI interfaces, API calls& SQL databases. To understand more about the data we collect and process as part of your application, please view our Tesla Talent Privacy Notice.
$88,000 - $276,000 a yearFull-timeExpandApply NowActive JobUpdated 3 months ago - UpvoteDownvoteShare Job
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Integration engineer responsible for daily support and project based development of credit risk management systems. Experience building data piplines using Azure Data Factory and Databricks (good to have.
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Knowledge of data modeling, dimensional modeling, data quality, and metadata managementProficiency in programming languages (e.g., Python, R), data analytics tools (e.g., SQL, Tableau), and machine learning frameworks (e.g., TensorFlow, PyTorch.
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The products our portfolio include Microsoft Fabric, Azure SQL Database, Azure Cosmos Database, Azure PostgreSQL, Azure Data Factory, Azure Synapse Analytics, Azure Service Bus, Azure Event Grid, and Power BI. Our mission is to build the data platform for the age of Artificial Intelligence (AI), powering a new class of data-first applications and driving a data culture.
$133,600 - $282,200 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Analyze, process, identify patterns, perform Extract Transform Load (ETL) operations, house data and route it to the appropriate systems and data warehouses based on business rules and logic using Python, Informatica, SQL Developer and Jupyter Notebook.
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Experience with SAP systems Integration, Tableau, Confluence, Jira, Power BI, SQL, and SAP Hana is a plus. 15+ years of PLM software implementation experience in one or more of the following fields: Product Data Management (PDM), New Product Introduction (NPI), Computer-Aided Design (CAD), Bill of Material (BOM) Management, Manufacturing Resource Planning (MRP) Supply Chain, development, or operations engineering.
$128,000 - $201,250 a yearFull-timeExpandApply NowActive JobUpdated 3 days ago - UpvoteDownvoteShare Job
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System Integration: Lead the integration of Salesforce, CPQ, Subscription Management and Netsuite, ensuring data consistency and accuracy across all systems. System Architecture: Design and architect the end-to-end Quote to Cash process, integrating Salesforce, CPQ, Subscription Management and Netsuite to ensure a seamless and efficient flow of data and transactions.
$141,000 - $212,000 a yearFull-timeExpandApply NowActive JobUpdated 3 months ago - UpvoteDownvoteShare Job
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In joining, you'll be a part of a team that helps our clients utilize integration, data conversion, extend, prism and other tool sets to enable the broader Workday solution. Distinguishes hands-on experience with database and application design technologies, i.e., SQL, XML/XLST, Web Services (SOAP, REST), middleware (MuleSoft, Boomi, etc.
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Understands overall Workday technology including Workday data conversion methodology, data conversion tools and report writer; Leads workshops with clients and third party vendors to translate business requirements into Workday integration designs.
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Experience with Azure native application development, Azure App Services, Azure Kubernetes Service, Azure Container instances, Kubernetes & Containers (Docker), Azure Integration Services (Logic Apps, API Management, Service Bus & Event Grid), Azure SQL Database, Azure Web Jobs, SQL Server IaaS, Azure Monitoring and Application Insights.
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60 months experience in building extraction and transformation of transactional data to drive data warehouse loads and end user BI as well as reporting requirements using ETL tools like Pentaho Data Integration (PDI) or SQL Server Integration Services (SSIS.
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Position also requires two (2) years of experience with each of the following: scalable data integration (ETL/ELT) pipelines for digital products; building data models in dbt, Snowflake, and Looker; SQL, including writing performant queries on large data sets; Writing data pipeline code; cloud data warehouses, including Snowflake, BigQuery, or Redshift; and Visualization tools including Tableau, or PowerBI.
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