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Propose new database architecture and support data migration from an existing Legacy system to a new structureCreate source-to-target mapping documents to transform the source data into the target warehouse and test final transformations.
$115,500 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Experience building and managing production-grade data pipelines using tools such as Airflow, dbt, DataHub, MLFlow. Youll be part of a close-knit team of data engineers developing and maintaining a data platform built with automation and self-service in mind to support analytics and machine learning data products for the next generation of our T3 Fleet that enable end-users to track, monitor and manage the health of their connected vehicles and deployed assets.
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Experience with Data Ops (VPCs, cluster management, permissions, Databricks configurations, Terraform) in Cloud Computing environments (e.g., AWS, Azure, GCP) and associated cloud data platforms, cloud data warehouse technologies (Snowflake/Redshift), and Advanced Analytical platforms (e.g., Dataiku and Databricks.
$190,000 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Alteryx, Banking, Business, Critical Thinking, Data Acquisition, Data Analysis, Data Management, Data Operations, Data Quality, Decision Making, Financial Products, Leadership, Management Reporting, Microsoft Power BI, People Management.
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Hands on experience with modern cloud data warehouse and engineering for one or more of the following cloud providers - GCP (Big Query, Vertex, Cognitive Services), Snowflake, Azure (Synapse, Dynamo, Cosmos, Azure ML, Power BI), AWS (Redshift, Sage maker), Tableau;Possessing a certification(s) in one of the following is a big plus – GCP/AWS/Azure/ data or ML engineering.
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You should have a Data Engineering Transformation Tools: Familiarity with data integration tools Cloud Composer (based on Apache Airflow) , Dataflow , Cloud Run. Must have Programming Languages/Infrastructure as Code/ Code Management : Strong knowledge of languages commonly used in data engineering, such as Python, SQL ,Terraform, CI/CD , Git flows, Attunity , AutoSys.
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Support HCSC leadership (Data Board and Data Board Advisory Subcommittee) with regards to national provider data strategy and operations. This position is also responsible for supporting HCSC leadership, sales and account management teams; serving as HCSC’s business owner over all BCBSA national provider data and ensure point solution vendor compliance with InterPlan policy.
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Data Evangelist: Promote data product adoption through training and webinars. Best Practices: Establish and adopt best practices for analytical insights, ensuring data integrity and usability.
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PMO lead for onboarding and embedding an ESG Tool, including Carbon Accounting – data sources, aggregation, formatting; process framework and data input controls, change management to embed into ways of workingAssist to design and embed a cost model covering revenue, GP, overhead, fixed costs, and EBITDA to provide multiyear revenue and EBITDA projections to support Sustainability CAPEX/OPEX investments and realize Sustainability Strategy / timely regulatory compliance.
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Healthcare Analytics Practice (HAP)– Our core strength is the ability to harness and analyze large amounts of electronic healthcare data and turn it into meaningful and insightful information. QualificationsProgression towards a master’s or bachelor’s degree in economics, mathematics, data science, statistics, accounting, finance, healthcare administration or related fields.
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Embedded within Tempus as on onsite researcher, the postdoctoral fellow will have direct access to over 150k de-identified samples with genomic and clinical data, a large organoid repository with genomic and pharmacological screening data, a huge computational environment, and mentorship and collaboration from clinicians, molecular biologists, and data scientists.
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Demonstrated experience leading complex Digital and Data Transformation services sales processes with multiple team members and decision makers (C-suite level - accounting and finance executives including CFO, CIO, CTO, CDO, VP of Finance, Head of FP&A.
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Two to three years of professional or educational experience using R studio, Python, SQL, Tableau, Looker Studio or other data analysis and visualization tools highly preferred. Support Policy, Advocacy and Research Manager in technical support of direct service providers in their use of Infonet, data use and analysis.
$65,000 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Data systems include Allegro, Adapt2, PI, SCADA, and Power BI. The role requires detailed analysis of electricity generation and trade data through the use of Allegro and Adapt2 software programs and the ability to understand Power Purchase Agreements and pricing formulas.
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Apply Environmental Sequence Stratigraphic (ESS) methodology to complex data sets consisting of lithologic borings, down hole, and surficial geophysical data (including but not limited to Nuclear Magnetic Resonance, Gamma and e-logs, Electrical Conductivity/Hydraulic Profiling Tool, Seismic, and ground penetrating radar.
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data job Company: Jp Morgan Chase Co in Chicago, IL
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