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Deep understanding of data governance policies, implementation best practices and hands-on experience in implementing Policies as Code Architecture, design & implementation of unified data access using AWS Lake formation, AWS Data Zone, IAM, OKTA and others.
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Implement data architecture initiatives on data quality, data governance, data standards, and data policies across all core business functions to ensure consistency in data definitions and data usage Apply knowledge of reference models to data architecture design and maintain alignment with standards and best practices for ontology representation.
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You will fill the role of Information Security Manager – Governance, Risk, & Compliance with a focus on managing team operational tasks related to 3rd party risk assessments, policy development, corporate risk register maintenance, data protection, phishing and social engineering campaigns, and organizational security awareness training.
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Bachelor or Master's degree in Computer Science or Computer Engineering with hands-on PM/Development experience in AI/ML architecture and Gen AI software & applications (e.g., LLM-based chatbots, AI vision, video/image analysis/detection, digital twins) is desirable.
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Provide guidance and support to our data engineering team on Databricks-related issues. Leading team in the definition of best practices & repeatable methodologies in Cloud Data Engineering, including Data Storage, ETL, Data Integration & Migration, Data Warehousing and Data Governance.
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5+ years of hands-on experience in Data Stewardship, Master Data Management, Data Quality, or Metadata Management field. We are looking for a Senior Data Governance Analyst who is passionate about data, understands the importance of fostering communication and collaboration among cross-functional teams, and enjoys diving deep into data products.
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1+ years of hands-on work experience coding with data visualization platform (Tableau, Spotfire, etc.) At 1910 Genetics, we put computation at the heart of drug discovery, blending expertise in computational chemistry, structural biology, pharmacology, genetics, data science, and software engineering to develop drugs for previously undruggable targets.
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CENTRAL DATA GOVERNANCE TEAM – Manager. It is critical to have a strong ability to perform deep dives and root cause analysis with effective mitigation planning skills leveraging the data governance tools we are building, process re-engineering and ability to establish effective oversight processes.
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As Senior HR Data Analyst, this hands-on role will drive HR data discovery and collection, data security, data cataloging, data transformation, data analysis, data visualization, and reporting in support of the organization’s overall HR Data & Reporting objectives.
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Familiarity with data privacy standards, methodologies, and best practicesPractical hands-on experience with data technologies and Cloud Platform like Hadoop, Hive, Redshift, Big Query, Snowflake, Databricks, GCP and Azure.
$148,800 - $248,000Full-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Hands-on experience working with modern cloud data lake house technologies e.g. Databricks (preferred) or Snowflake. A robust understanding of core data engineering topics – ETL vs ELT, structured and unstructured data, data quality and data governance.
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Experience in developing an end-to-end AWS native platform for building Data lakes (S3, Glue (Crawlers, ETL, Catalog), IAM, CodePipeline, CodeCommit, CloudFormation (or Terraform), CloudTrail, CloudWatch, AWS Config, Guard Duty, Secrets Manager, KMS, EC2, Data Visualization Tool: Tableau run on an EC2 or AWS Quicksight), Athena.
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As Principal HR Data Analyst, this hands-on role will drive HR data discovery and collection, data security, data cataloging, data transformation, data analysis, data visualization, and reporting in support of the organization’s overall HR Data & Reporting objectives.
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Hands on experience with Java, Spring Boot , Cloud ( Azure/GCP/AWS Kafka (or other messaging service), Memcached/Redis or any caching technologies, relational DBMS ( MySQL, Oracle etc ) Experience Data pipeline engineering HUDI / DELTA , Google HIVE Elastic Search for data migration.
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Minimum 10 years of experience in data governance, data engineering, and data strategy, with a focus on leadership roles. Hands-on experience with ETL tools, data lakes, and data warehousing solutions (Snowflake, Redshift, BigQuery, etc.
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hands on engineering manager data governance jobs Title: product manager in East-hartford, Connecticut
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