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Governance, Compliance, and Data Security: 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 16 days ago - UpvoteDownvoteShare Job
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Will assist in the rollout of CNB's Data Governance reporting and strategy structure that includes: Data Governance and Policy, Data Quality and Control, Data Strategy and Architecture, Master Data Management, and Analytics Data Management.
$156,880 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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As Data Governance Implementation Analyst (Finance) - you will support Data Governance Implementation Lead in implementing a robust Data Governance Operating Model for Finance processes and reports and drive data quality throughout BNY Mellon via compliance to Data Management Policy and standards.
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Minimum of eight (8) years' experience within the Oil and Gas industry working as a Data Analyst, Engineering Tech, Engineering Specialist, Business Analyst, Systems Analyst, IT Analyst, or related role.
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Design and build production data engineering solutions to deliver pipeline patterns using Google Cloud Platform (GCP) services: BigQuery, DataFlow, Pub/Sub, BigTable, Data Fusion, DataProc, Cloud Composer, Cloud SQL, Compute Engine, Cloud Functions, and App Engine.
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In this role, the Data Quality Analyst on the data governance team will assist the business in making better decisions through collection and usage of data and ensuring our data is cared for through its complete lifecycle, as an enterprise asset.
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As an Engineering Manager for the Core Infrastructure squad, you will be responsible for leading a team that integrates various data sources such as PostGres, S3, and DynamoDB into Data Governance tools.
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Build the infrastructure required for optimal extraction, transformation, and loading of data from a wide variety of data sources using SQL and (GCP, AWS, Azure, Snowflake) ‘big data’ technologies.
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Experience of implementing Amazon EMR or Big Data technologies like Hadoop, Spark, Presto, Hive will be a plus Prior domain experience of Life Insurance, Annuity or Financial Services is a plus AWS Certifications are considered a strong plus Excellent verbal and written communication skills.
Full-timeExpandApply NowActive JobUpdated 17 days ago - UpvoteDownvoteShare Job
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You will be at the forefront of expanding our data/feature engineering capabilities, modernizing data pipelines, and significantly enhancing data quality and governance.
$319,200 a yearFull-timeExpandApply NowActive JobUpdated 3 days ago - UpvoteDownvoteShare Job
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As the Data Engineering Intern , you will perform data engineering activities, using multiple tools and techniques, to ensure build out of a robust, resilient, and rationalized hybrid data ecosystem on Azure and Google Cloud platforms based on Ingredion’s analytics governance guidelines as well as industry best practices.
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Experience developing a roadmap for and implementing one or more industry standard lineage, data catalog, data quality, or data observability tools is required. In this role, you will be instrumental in building out the process and tools necessary to run an effective Data Governance program for a Fortune 100 company.
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We offer products and solutions in Cloud, Data Engineering, Data Governance, AI/ML, DevOps and Blockchain to large corporates across the globe. Strong experience in big data modeling, data analysis, and Business Intelligence (BI) tools such as Tableau, Power BI or QlikView.
Full-timeExpandApply NowActive JobUpdated 17 days ago - UpvoteDownvoteShare Job
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Establish data governance practices for managing various types of data, including personally identifiable information, data quality, and validation standards. Stay current with the latest developments in data engineering and data management technologies and best practices, providing guidance and mentorship.
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While the title may suggest a focus on quality assurance, this role requires a blend of data engineering and testing expertise. DATA QUALITY ENGINEER (2 POSITIONS) Top skills needed: testing, SQL, Azure Databricks, and Spark/PySpark.
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