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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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Create high quality, elegant data engineering solutions that focus on cloud-first, encapsulation, repeatability, automation and auditability. Capability of developing data quality and validation routines.
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Conduct studies, research, and data analysis, among others, relative to traffic, road construction and environmental impact. Work with Traffic Engineer in the planning and preparation of Traffic and Transit Management Plans and appendices.
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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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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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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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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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American Axle Mfg Inc Lead Product Quality Engineer Detroit , Michigan Apply Now At AAM, the POWER is in our people. Job Description SummaryA member of the Driveline Product Engineering Safety and Compliance group, the lead product quality engineer helps AAM ensure that its products are safe, of a high quality, and fit for purpose.
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Will provide overall technical guidance to implementation teams and oversee adherence to engineering patterns and data quality and compliance standards, across all data factory workstreams.
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Experience must include: working with statistical, mathematical, predictive modelling, Artificial Intelligence, Machine Learning, NPL knowledge, data visualization and data preparation; querying databases and performing statistical data analysis; knowledge of big data technologies, AI, Machine Learning, NLP; knowledge of analytics and statistical software packages R, Python, Vertica, Hadoop, Tableau, SAS, SQL, MS Azure.
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Proven track record of building applications in a data-focused role (Cloud and Traditional Data Warehouse) BigQuery, Astronomer, Python, airflow, dataproc. Orchestrate workflows by using Astronomer (Airflow) that execute ETL data pipelines in a scheduled manner.
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This individual will also be responsible for creating awareness of AHEAD's world class services that integrate with our key partners, AWS, Microsoft, Harness, GitHub, Palo Alto Networks and RedHat, while working closely with current and prospective customers to determine how AHEAD can best serve their app and data modernization initiatives.
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Familiarity with data: exploration, analysis, mining, storytelling, visualization, and basic engineering; as well as the tools necessary to achieve these goals (SQL, ETL, Python, Databricks, Snowflake, Tableau, BI, Web Analytics, Looker.
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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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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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data quality jobs Title: data specialist Company: Capital One in Dearborn, MI
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