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Experience working with data integration and business intelligence tools (Azure ADF, SSIS, Talend, Profisee, SSRS, Power BI, Tableau, and Qlik). · Proven experience in Operational Delivery Management and Data Operations leadership.
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5+ years of experience in data engineering, with a strong background in Apache Spark and cloud-based databases such as Snowflake. BHI is a data and analytics company and helping health plans, researchers, healthcare providers, employers, and government agencies use data to improve the health outcomes, promote value-based care, and address health equity and increase the value of care provided.
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Experience in data management, with some exposure to EDC, IRT, and/or eCOA. AbbVie Data Science is the best-in-class team within its cross-industry peer group and is. 6+ years of pharma / clinical research / data management / health care experience or 8+ years of project management experience.
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Propose new database architecture and support data migration from an existing Legacy system to a new structure ● Create source-to-target mapping documents to transform the source data into the target warehouse and test final transformations.
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6+ years of experience with data science - including having a deep knowledge & mastery of Python, machine learning & deep learning, and associated data science packages (e.g., sklearn, TensorFlow, PyTorch) - and demonstrated comfort leading data science projects from inception to deployment.
$179,900 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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We are looking for a candidate that has a proven track record in selling Data & AI Services, ideally in another large consulting firm or systems integrator. 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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Familiarity with modern ETL integration solutions (SSIS, Ab Initio, Datastage, Informatica, Azure Data Factory). Experience with Cloud data warehouse technologies (Azure Data Warehouse, Amazon Redshift, Snowflake.
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Build and refine Stripe's data foundations - infrastructure, pipelines, and tools to enable Growth, Sales, and Marketing teams at Stripe - working with Scala, Spark, and Airflow. Prior experience with writing and debugging data pipelines using a distributed data framework (Spark / Hadoop / Pig etc.
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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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Design and implement robust data integration solutions using Kingsway Soft, with a focus on interfacing seamlessly with Microsoft Dynamics 365. Prior experience with TIBCO Scribe and a strong understanding of its data integration architecture.
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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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5+ years of experience in data analysis or related fields such as Data Scientist, Computational Biologist, or Bioinformatics. Perform statistical and subpopulation analysis on sensor and clinical data collected from clinical trials.
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You Have: 3+ years of experience in batch and streaming ETL using Spark, Python, Scala, Snowflake, or Databricks for Data Engineering or Machine Learning workloads. 3+ years orchestrating and implementing pipelines with workflow tools like Databricks Workflows, Apache Airflow, or Luigi 3+ years of experience prepping structured and unstructured data for data science models.
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Expertise in SQL Server Management, Azure Data Factory Development, Databricks Engineering, Delta Parquet File Management, and SQL Server Integration Services. Develop and optimize Databricks notebooks for big data processing and analytics in Azure Databricks environments.
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Hands-on improve operational stability via automation, such as auto healing where possible, and raise design changes to Data analyst, SMEs and/or architects, as well as opportunities to application /service managers.
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data job Title: data analyst Company: Consulting in Chicago, Ada-county, Idaho
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