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Experience with at least one major Massively Parallel Processing (MPP) or cloud database technology (Snowflake, Redshift, Big Query) Expanding, scaling, and standardizing the core foundational principles through consistent observability, lineage, data quality, logging, and alerting across all engineering teams in the Data organization is imperative to the creation of a single pane of glass.
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Familiarity with Big Data technologies like Snowflake, Apache Beam/Spark/Flink, and Databricks. Embark on a leadership role within the Blue Yonder Data Science and Machine Learning team as a Staff Data Scientist, steering our machine learning platform that processes real-time data and powers deep learning models, generating billions of predictions daily.
$189,615 a yearFull-timeExpandApply NowActive JobUpdated 1 month ago - UpvoteDownvoteShare Job
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10+ years of experience implementing data management solutions (Required). Lead the architecture and design of data pipelines, data models, and ETL processes within Snowflake, Databricks and DBT Labs.
$169,212.5 a yearFull-timeExpandApply NowActive JobUpdated 24 days ago - UpvoteDownvoteShare Job
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4+ years of experience with Big Data technologies including Spark/Databricks, Hadoop, and varying types of Azure Storage. 2+ Years of demonstratable data governance & data management knowledge.
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Job Description We are seeking a highly skilled IT Compliance, Data Governance, and Risk Management Specialist with a strong technical security background and extensive experience in PCI (Payment Card Industry) Compliance to join our team.
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Leading the configuration of OneStream including but not limited to : Workflows, Data Sources, Transformation Rules, Business Rules and Calculations, Dashboards, Data Management Sequences, Cube / Master Data, System Security.
$202,000 a yearFull-timeExpandApply NowActive JobUpdated 18 days ago - UpvoteDownvoteShare Job
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7+ years of relevant experience in the field of finance, accounting, and/or business management Strong understanding of ETL processes, data integration, data quality framework and ability to design and implement efficient data pipelines.
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Experience creating of interactive data visualization with any the following platforms Power BI, Tableau, SAC. Experience designing highly scalable ETL processes with complex data transformations, data formats including error handling and monitoring using tools like Qlik Compose, DBT.
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Pain Management Physician, Pain Management, Chronic Pain, Acute Pain, Physician, Healthcare, Health Care, Patient Care, Hospital, Medical, Doctor, Md. AMN Healthcare is pleased to announce the availability of an exceptional Interventional Pain Management opportunity.
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The HES&S Data Analyst will support Corporate HES&S data management systems' design, implementation, and sustainment. Lead OxyChem HES&S data management information system initiatives and drive continuous improvement of existing HES&S processes and procedures.
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Experience with Liquidity Risk Management and other related Treasury functions, including associated data, models, processes and controls. Working knowledge of funding and liquidity risk, collateral management, asset and liability management, intraday liquidity and cash management, funds transfer pricing, and interest rate risk.
$170,913 a yearFull-timeExpandApply NowActive JobUpdated 2 months ago - UpvoteDownvoteShare Job
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Good command of database technology and query languages (SQL) and non-relational DB and other Big Data technology, including efficient storage and serialization protocols (e.g. Parquet, Avro, Protocol Buffers.
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The Data Warehouse Architect will also evaluate and provide input on infrastructure components such as software, hardware, database management systems, and networking capabilities. · Evaluate, recommend, and select data warehouse components, including hardware, database management systems, ETL (extract, transform, load) software, data mining tools, and meta data management tools.
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340B Revenue Management: Analyze complex financial and non-financial 340B revenue data from external pharmacies and suppliers, identifying trends, variances, and improvement opportunities.
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Relevant certifications in cloud platforms (AWS, Azure, GCP) and data engineering tools (Databricks, Kafka) are a plus. Utilize Databricks and Informatica as unified data integration platforms.
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management data big jobs Title: data analyst in Dallas, Fernley, Nevada
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