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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.
$160,000 a yearFull-timeExpandApply NowActive JobUpdated 1 month ago - UpvoteDownvoteShare Job
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Apache Hadoop or Apache Spark (for big data processing) Data Science & Machine Learning Frameworks. Data Governance & Security. Data Warehousing (e.g., AWS Redshift, Google BigQuery.
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Natural Language Processing (NLP) Tools and Frameworks (e.g., Hugging Face, AWS Comprehend Medical for extracting insights from clinical text data) Docker, Kubernetes, ECS, EKS or AWS Fargate (for containerization and orchestration of data applications and reproducibility.
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Expertise in Cloudera Big Data Technologies, including Cloudera Distribution of Hadoop (CDP), Apache Hadoop, Apache Spark, Apache Hive, Apache Impala, and Apache HBase, with hands-on experience in deploying, configuring, and optimizing these technologies for large-scale data processing and analytics.
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Data Visualization Tools (e.g., Tableau, Power BI, Plotly) \Bachelors Degree computer science, artificial intelligence, informatics or closely related field. The Data Scientist will be responsible for driving insights from the vast amounts of patient and environmental data available within our data warehouse.
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HIPAA Compliance (handling sensitive patient data securely) Data Privacy (understanding of privacy laws such as HIPAA, GDPR) Work closely with researcher teams to design analysis specifications, including input data specifications, data cleaning, algorithms, and interpretation of results.
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Champion data governance in congress with the BI Leader to provide data that is accurate, congruent, and dependable; this would be represented in Data Quality artifacts. 3+ years experience with Data Governance deliverables such as Business Glossary, Data Lineage, etc.
Full-timeExpandApply NowActive JobUpdated 7 days ago - UpvoteDownvoteShare Job
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7+ years of experience in designing and implementing enterprise data stores, data warehouses, data governance, data quality management, real-time data ingestion, data modeling, and metadata management, using tools like Azure Synapse or Snowflake.
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Solid experience with big data technologies (Apache Spark, Hadoop, Kafka) and cloud services (AWS, Azure) related to data processing and storage. Ensure compliance with data governance and security policies, implementing best practices in data encryption, masking, and access controls within a cloud environment.
$160,000 a yearFull-timeExpandApply NowActive JobUpdated 7 days ago - UpvoteDownvoteShare Job
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Conducting research and benchmarking to provide context and best practices for HR data analysis and interpretationCollaborating with HR and business partners to understand their data needs and provide solutions that support their goals and initiativesEnsuring data quality, accuracy, and compliance with data governance and privacy standards Requirements:Education: A bachelor’s degree or higher in human resources, statistics, data science, business, or equivalent related experience.
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The co-founders are currently on the lookout for a VP of Data Science (with potential for the position to be moved to C-suite level, along with co-founder status) with extensive experience working with genomics data and a proven track record on building high-performing data-driven teams in a start-up environment.
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What You Will Do : Conduct interviews with client stakeholders to assess current metadata management and data governance capabilities and refine use cases associated with metadata management, taxonomy, and ontology development.
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Current Master's - Data Science Internship - Summer 2025. If you're interested in a long-term career at Capital One, the Data Science internship could be a great way to begin your career journey.
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Experience in Data Wrangling, Data Mining, Data Engineering, or related roles in Big Data ecosystem and/or distributed computingExtensive programming skills with: SQL, SAS, Python, and Power BI tools.
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Job Title: Data Engineer/ Data ArchitectLocation: Corvallis, OR – 5 Days Onsite Role Job Description: At least 8 to 10+ years’ experience in data engineering , AI and ML and Aws/Azure Architect, Design and implement distributed data processing pipelines using Spark, Python, SQL and other tools and languages prevalent in the Big Data/Lakehouse ecosystem.
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big data governance science jobs Company: Bigcommerce Pty Ltd
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