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7+ years of experience successfully establishing effective data governance/management in a large, complex organization with expertise in data governance for big data space with knowledge of various MDM/entity resolution solutions.
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The Lead Data Engineer is responsible for orchestrating, deploying, maintaining and scaling cloud infrastructure targeting big data and platform data management (e.g., data warehouses, data lakes) including data access APIs. Prepares and manipulates data using Hadoop or equivalent.
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We are seeking an experienced Data Architect to lead the design, development, and implementation of our data architecture, with a strong emphasis on data engineering pipelines, data lineage, data governance, and banking risk or regulatory reporting.
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Experience deploying and maintaining pipelines (AWS, Docker, Airflow) and in engineering big-data solutions using technologies like Databricks, S3, and Spark. Production experience with developing content recommendation algorithms at scale and familiar with metadata management, data lineage, and principles of data governance.
$231,100 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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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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The courses may include Foundations of Data Analytics and Programming, Advanced Excel for Data Analytics, Data Governance, Management and Quality, Data Visualization-Power BI, Data Visualization-Tableau, Data Privacy and Integrity, Data Protection, Descriptive Analytics, Predictive Analytics, Data Complexity, Cloud Analytics, Big Data, various programming courses and concepts involving python, r and ML, and database courses (including MySQL, Microsoft SQL Server and NoSQL alternatives.
$32.93 an hourPart-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Collaborate with different teams in EDM (Data Cloud, Architecture, Data Governance Tech, Data Science) and support strategic initiatives such as data governance, data-as-a-service, and self-service analytics.
$110,000 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Strong understanding of data lake principles, data governance, data quality, and data security best practices. Utilize cloud platforms (primarily AWS) to deploy data solutions that leverage native services such as S3, Lambda, Redshift, Glue, Airflow, or equivalent third party SAAS services like Snowflake etc for data lake/data warehousing patterns.
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As a big Data Engineer at Booz Allen, you'll use your skills and experience to implement data engineering activities on some of the most mission-driven projects in the industry. We need a data professional like you to help our clients find answers in their big data to impact important missions-from fraud detection to cancer research to national intelligence.
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Data Governance Champion: Establish a robust data governance program, ensuring data integrity and compliance. Data Governance Advocate: Experience establishing and maintaining a solid data governance program.
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Hands-on experience implementing enterprise metadata management programs, including deployment of enterprise taxonomy and ontology, and delivering data governance solutions. - Minimum of 4 years of hands-on experience implementing ASG Rochade data catalog, data governance, data lineage, data privacy, and data quality capabilities.
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A robust understanding of core data engineering topics – ETL vs ELT, structured and unstructured data, data quality and data governance. The roleYou will be a senior member of our US Data Engineering chapter.
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Lead large transformations for former employers and has evolved & matured current Master Data Management, Data Governance, Data Architecture, Data Quality, Enterprise Data Management, and Data Design practices.
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Conduct data management maturity assessments and identify pain points for including data quality, governance, architecture, analytics, metadata management, master data management.
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Experience building and deploying full stack ML pipelines: data extraction, data mining, model training, feature development, testing, and deployment. Building streaming data pipelines using Kafka, Spark, or Flink.
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big data governance jobs Title: senior data Company: Finfare Inc
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