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Experience with Warehouse Management Systems (WMS) integration with SAP ECC and SAP S/4HANA is preferred. Driving Scaled Agile delivery, working in partnership with the Product Owner and Solution / Data Engineer roles to manage risk in the backlog.
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Proficiency in metadata and data quality tools like Atlan, Collibra, Informatica, Alation, Atacama, Talend, etc. Lead the customer success and enterprise data stewardship team to drive data governance adoption, working with data stewards across divisions to embed governance practices and enhance data-driven culture.
$146,000 - $210,000Full-timeExpandApply NowActive JobUpdated 4 days ago - UpvoteDownvoteShare Job
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Familiarity with simulation and data analysis tools for finite element, thermal, vibration, and stress analysis (Solidworks Simulation, Creo Mechanica, ANSYS) As a Koch company, Molex is a leading supplier of connectors and interconnect components, driving innovation in electronics and supporting industries from automotive to health care and consumer to data communications.
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In-depth knowledge of various database management systems (DBMS) such as relational databases (e.g., Oracle, SQL Server, PostgreSQL), NoSQL databases (e.g., MongoDB, Cassandra), and cloud-based data services (e.g., Amazon RDS, Azure SQL Database.
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Bachelor's degree or equivalent experience Bachelor’s degree in Business Analytics, Information Retrieval/Information Technology, Computer Science, Market Research, Psychology, Digital Libraries, Math/Statistics, Digital Marketing, Content Management, Digital Analytics, Data Science, or similar field Req.
ExpandApply NowActive JobUpdated 10 days ago - UpvoteDownvoteShare Job
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This involves setting up an eCommerce KPI data ecosystem spanning across multiple digital solutions including but not limited to SAP eCommerce, SAP, Google Analytics, Qualtrics, Snowflake & PowerBI.
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Strong knowledge of data architecture and master data management. Cloud-based data & analytics frameworks (e.g., Azure, Databricks, Snowflake) Data science & advanced analytical techniques and technologies (e.g., R, Python, Databricks.
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Handle Google Cloud Storage inorder to use the storage service efficientlyRole as GCP Architect and SME in multiple projectsRepresent in client meetingsRespond to RFPs providing the solution Arch. Min one year Experience in Architecting applications for Google Cloud platformExperience in Architecting and designing solutions leveraging services like Cloud Bigquery, Clod Data Flow, Cloud Pub OR Sub, Cloud BigTableWork with Google Cloud SQL to handle the user data/ client data.
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Strong understanding of SAP S/4 HANA architecture and data model. Knowledge of SAP Finance (FI) and Treasury modules, including configuration, data structures, and business processes.
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Possess specialist working knowledge of numerous software licensing models and metrics, covering a range of vendors, including a minimum of three Tier 1 software publishers: Oracle, IBM, Microsoft, SAP, Adobe, VMware, Micro Focus, Red Hat, Autodesk.
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Extensive hands-on experience with Apache Spark, Kafka streaming for large-scale data processing and analytics. Good experience and understanding of operationalization of large scale data and analytics solutions on Snowflake Cloud Data Warehouse.
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In this site-facing lead role, you will partner with the Global Lilly Unified Lab (LUNA) program to deliver milestones across multiple workstreams such as Product Delivery, Master Data Management, Integration to Site Manufacturing and Quality Systems, Instrument Connectivity, and Organizational Change Management.
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Good Understanding of data warehousing concepts such as data migration and data integration in Amazon Web Services (AWS) cloud or similar platform. The Data and Machine Learning Engineer leverages data and computing infrastructure, automation and workflow orchestration tools to create data processing steps for machine-learning pipelines in production.
TemporaryExpandApply NowActive JobUpdated 10 days ago - UpvoteDownvoteShare Job
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We sell the latest AI technologies from Nvidia, Supermicro, Dell, HP, Microsoft, Google, Cisco, Lenovo, Apple, VMWare, Adobe, APC, IBM, Nutanix, EMC, Pure Storage, Samsung, Intel, Eaton, and all the hottest AI and Green Data Center, Virtualization, Energy Conservation, Cloud, Storage, Security, Wireless, SD Wan, Video, Identification, solar, and battery technologies.
ExpandApply NowActive JobUpdated 12 days ago - UpvoteDownvoteShare Job
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Work side by side with the Data Science, Precision Medicine, Digital Health and Data, Platforms and Partnerships teams on joint projects to ensure the optimal combination of RWD/E methodologies and analytics along with AI/ML and Digital solutions are being leveraged to deliver on high value use cases / problems.
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