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Works closely together with GDI&A Operational Analytics Team, IT Data Supply Chain (DSC) Team, Data Governance Team, the Finance and Material Planning and Logistics (MP&L) SMEs, and the external solution partners to drive alignment and delivery of the Data Factory and bring data up to the quality standards required to deliver on the business objectives.
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Collect and manipulate multiple sources of data to analyze the state of our clients businesses across multiple channels (paid search, display media, website, social media, advertising campaigns, offline media, brand sales and brand equity) ensuring accuracy of the output.
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5+ years experience in field of data engineering involving building data integration solutions or data warehouse environments such as AWS, Snowflake, Oracle, etc. Design and build Data Lake and data warehouse solutions on Snowflake and AWS using streaming and batch processes.
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Provide Installation and Operational support for all Network Projects and Hardware, include copper and fiber cabling/patch/diagnosis. Configuration, Installation, and Maintenance of multi-disciplinary technological communication network topologies such as wireless mesh nodes and gateways, cellular routers, sub-GHz 900MHz AMI (advanced metering infrastructure) CPE (customer premises equipment), Wimax SMs (subscriber module radios), P2P (point-to-point) microwave radios/Aps (access points) and long haul CWDM/DWDM Ciena 6500 based optical backbone networking platform.
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Familiarity with Teradata, Data stage, Informatica tools (EDC, Axon, IDQ, MDM, power center), Hadoop and mainframe platforms. Experience working in following technologies: Cloud analytics technologies (GCP preferred) - Big Query, Dataflow, Data form, pub/sub, Kafka, Cloud run, cloud functions, Dataplex , GCS, Cloud SQL, Dataproc, Airflow, Compute Engine, Cloud functions and App engine.
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The primary focus involves the migration of data landing and transformation jobs from Hadoop to Airflow (Astronomer) and BigQuery. The Data Software Engineer position will involve design, implementation, testing and launch of new applications for loading dealer data and generating analytical insights.
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Knowledge or experience of designing and deploying data processing systems with one or more of the technologies such as Oracle, MS SQL Server, MySQL, PostgreSQL, MongoDB, Cassandra, Redis, Hadoop, Spark, HBase, Teradata, Tableau, Qlik or Other.
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The successful candidate will be able to connect the dots and synthesize across multiple content resources, including macro trends, consumer research findings, and syndicated data. Partner with the Wholesale Strategy & Analytics team to champion category growth strategies for our retail partners based on shopper insights and trends by incorporating multiple data sources.
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Hands-on experience on Dynamics 365 CE, including SDK, Web API, Development of Plug-Ins, Custom Workflows, Power Automate, Custom Pages (React JS), Configuration Data Migration (Dataverse SDK), iPaaS / Azure Function Apps / Azure Service Bus and Integration Services.
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Global Data Insight & Analytics organization is looking for a Machine Learning Engineer focused on building and driving the strategy forward for our internal Data Science / AI/ML platform.
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Orchestration of data pipelines (e.g. Airflow, DBT, Dataform, Astronomer). Has strong experience in Data Engineering, Google Cloud Platform Big Query, Data ETL pipelines, Data architecture, Data Governance, Data protection, security & compliance, and user access enablement.
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Using data insights, the Shopper Insights Senior Manager will provide wholesale, direct to consumer, and business to business partners with relevant and meaningful industry, category, brand, customer, and consumer trends.
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Working knowledge of trauma scoring and calculations to provide data analysis and trauma specific statistics, Injury Severity Score (ISS), Probability of Survival (PS), Revised Trauma Score (RTS), Pediatric Trauma Score (PTS), Glascow Coma Scale (GCS), and TRISS (expected/unexpected outcomes), Utilize Trauma Specific Software (NTRACS, Trauma Base.
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5+ years experience with structured cabling in a data center and/or remote network closet locations. Keeping current with technologies and market trends related to data communication.
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Requirements: Bachelor’s degree in Computer Science, or a closely related field of study and five (5) years of experience as a Sr. Database Architect, Data Architect, Database Architect, Data Modeler/Data Analyst/DataStage ETL Developer, Developer/Data Analyst Intern, Developer Intern, or closely related occupation.
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data cabling jobs in Detroit, MI
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