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Demonstrated expertise in big data technologies, including Apache Spark, Scala, Python, SQL, and TEZ. Optimize the utilization of our BI platforms, tailoring data models and dashboards to the specific needs of big data processing and analysis.
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Deep knowledge of Big Data technologies such as Spark and Cloud ETL tools like Databricks, with a focus on scalability and real-time processing capabilities. Understanding of Big Data technologies and frameworks, including Spark and Cloud ETL tools such as Databricks.
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A minimum of six years' experience in providing complex consultative services in the following focus areas: information strategy, big data architecture, information/data governance, master data management, data quality, data integration particularly in a life science or healthcare setting.
$325,800 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Regularly partner with cross-functional teams including IT (Governance, Risk & Compliance), legal, compliance, HR and other teams on matters of privacy and data protection. Provide legal guidance on compliance with HIPAA, including data governance requirements, protection of PHI, HIPAA Privacy Rule, Security Rule and Breach Notification Rule. Advise on, review and draft privacy and data protection terms in client and vendor agreements.
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A strong background in Data Warehouse, ETL, MDM, and Data Governance concepts, design, and implementation is preferred. The New Jersey Judiciary Data Analytics, Research, and Statistics Division’s Data Warehouse/Data Governance Team is seeking an experienced supervisor to lead a team of Data Analyst and Data Governance professionals.
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Knowledge of data governance, security, and compliance in DataBricks. Ensure data governance, security, and compliance standards within the platform. Role: DataBricks Implementation SpecialistLocation: Dallas, TXDuration: 6 to 12+ monthsRate: $Market All InclusiveSummary:We're hiring a skilled DataBricks Implementation Specialist to design, deploy, and manage DataBricks environments for optimal data processing.
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Familiarity with data governance principles and their application within an Informatica MDM environment. Collaborate with stakeholders to define and enforce data governance policies, standards, and best practices within the Informatica MDM environment.
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Familiarity with Snowflake, Monte Carlo, RDS, DynamoDB, Kafka, Fivetran, dbt, Airflow, Docker, Kubernetes, EMR, Sagemaker, DataDog, PagerDuty, Atlan, Data Observability tools and Data Governance tools.
$235,000 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Role DescriptionThe Risk Data Steward (RDS) for Market Risk in the Data Management Team (part of the Enterprise Data Management Function) assists the Enterprise Finance Data Management Executive in implementing the organization's data governance strategy by advocating for the solutions aligned to our data principles, policies and standards and educate key stakeholders within Risk Management/Market Risk on purpose and value of data governance and importance of data quality.
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This role will be a member of the Technical Operations Risk & Governance team - a diverse group of data analyst, privacy analyst, and program managers that will assist in enabling and supporting our business line groups within Digital.
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Ensure preventative, detective, and corrective controls are properly identified and documented for data governance. Areas of focus are to assist with our data governance and technical compliance team to identify, coordinate, document, and implement business requirements by assisting us determining solutions that enhance business operations.
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Must have 2 years of experience coding; testing; developing big data solutions/applications; dashboards, project modules; performing scripting, visualization; reviewing requirements; maintaining design documentation; using Hadoop, MapReduce, Spark, Kafka, Hbase, Java, Python, AWS. Must be willing to travel/relocate to unanticipated locations throughout the US on short notice for extended periods of time.
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Practical hands-on experience with data technologies and Cloud Platform like Hadoop, Hive, Redshift, Big Query, Snowflake, Databricks, GCP and Azure. Implement engineering solutions to support robust data governance policies and practices to ensure data quality, compliance with global data protection regulations (e.g., GDPR, CCPA), and the security of sensitive and proprietary information.
$248,000 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Technical Expertise: Deep understanding of big data technologies, including but not limited to AWS services (S3, Redshift, RDS), and experience with data pipeline tools like Airflow and Glue.
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Experience with orchestrating complex workflows and data pipelines using like Airflow or similar tools. Completed BS, MS, or PhD in Computer Science, Mathematics, Statistics, Data Science, Engineering, Operations Research, or other quantitative field.
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big data governance jobs Company: Dice in Fernley, Nevada
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