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Solid understanding of data engineering concepts and techniques, such as data modeling, data warehousing, data integration, data pipeline, data lake, data quality, and data security. Knowledge of data engineering technologies and platforms, such as SQL, Python, Spark, Kafka, Snowflake, DBT, AWS, Azure, or GCP.
ExpandApply NowActive JobUpdated 9 days ago - UpvoteDownvoteShare Job
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Knowledge and exposures to Azure SQL DataWarehouse, Databricks or other cloud or on premises MPP data warehousing systems (MS APS, Teradata, Snowflake) The experience should be with requirements gathering, SQL, Data Integration tools such as Informatica Powercenter, Microsoft SSIS, Azure ADF and Data Warehousing techniques.
ExpandApply NowActive JobUpdated 3 days ago - UpvoteDownvoteShare Job
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Knowledge and exposure to Azure SQL DataWarehouse, Databricks or other cloud or on-premises MPP data warehousing systems (SAP HANA, Teradata, Snowflake). Knowledge and exposure to Azure SQL DataWarehouse, Databricks or other cloud or on-premises MPP data warehousing systems (SAP HANA, Teradata, Snowflake.
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Employ experience in technologies & platforms related to software design & development, programming languages, data integration, data warehousing, data analysis & visualization tools, data storage, network connectivity & virtualization/cloud environments such as writing scripts in automating onboarding & offboarding process, helping with automation of system tasks, developing power BI system utilization & availability reports for leadership.
ExpandApply NowActive JobUpdated 4 days ago - UpvoteDownvoteShare Job
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Knowledge and exposures to Azure SQL Data Warehouse, Databricks or other cloud or on premises MPP data warehousing systems (SAP HANA, Teradata, Snowflake). Knowledge and exposures to Azure SQL Data Warehouse, Databricks or other cloud or on premises MPP data warehousing systems (SAP HANA, Teradata, Snowflake.
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Data Warehousing using SQL Server Integration Services (SSIS), including significant experience with Extract, Transform, and Load (ETL) operations. Microsoft SQL Server Integration Services (SSIS), MySQL, Oracle, Nuix, Relativity.
$120,000 - $170,000 a yearExpandApply NowActive JobUpdated 5 days ago - UpvoteDownvoteShare Job
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Proven knowledge of data warehousing concepts, ETL processes, and data visualization techniques. Hands-on experience with BI tools such as ELK, Looker, Tableau, Power BI, or QlikView. Lead the design and development of our end-to-end data pipeline, including ingestion of new telemetry data and service usage data, management of the ETL/ELT processes, organization of the data warehouse, and reporting within our data visualization tools.
Full-timeExpandApply NowActive JobUpdated 6 days ago - UpvoteDownvoteShare Job
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As an AVP Enterprise Data Engineering, you will set the direction and vision for the technologies that support various business units at Pacific Life. You will manage the architecture, design, development, and implementation of data solutions that satisfy the business requirements and fit the data strategy.
ExpandApply NowActive JobUpdated 4 days ago - UpvoteDownvoteShare Job
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Thorough understanding of Data Warehousing architectures, techniques, and methodologies; including Star Schemas, Snowflake Schemas, Slowly Changing Dimensions, and Aggregation Techniques. Experience in exposing data via front end tools like Power BI, Azure API Apps, Qlik, Tableau and others.
ExpandApply NowActive JobUpdated 1 month ago - UpvoteDownvoteShare Job
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The Business Analyst - PD is responsible for gathering requirements for Cryoport Business Intelligence solutions (ETL, Data Warehousing and Visualization) and assisting the development team to implement stronger business intelligence capabilities for Cryoport Systems.
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We provide expedited less-than-truckload services, including local pick-up and delivery, shipment consolidation/deconsolidation, warehousing, and customs brokerage by utilizing a comprehensive national network of terminals.
Full-timeExpandApply NowActive JobUpdated 4 days ago - UpvoteDownvoteShare Job
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Strong understanding of data warehousing concepts, data governance principles, and data management best practices. In-depth knowledge of Informatica, Python programming, and dbt (data build tool.
ExpandApply NowActive JobUpdated 9 days ago - UpvoteDownvoteShare Job
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Proven experience as a Data Architect or similar role, with expertise in data modeling, ETL design, and data integration. Experience with SQL databases, data lakes, and cloud-based data platforms (e.g., AWS, Azure, Google Cloud.
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AGS Data & AI engineering team is a multi-discipline team, in which we own data solutions end-to-end: from telemetry and ingestion, to warehousing, analytics platforms, and ML infrastructure and deployment.
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Manage the Materials Planning, Warehousing, Receiving, and Shipping departments and guide staff in the performance of their duties. Will direct and control all materials activities including; Planning, Inventory Control, Warehousing, and Shipping/Receiving.
ExpandApply NowActive JobUpdated 10 days ago
warehousing job in Irvine, CA
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