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Data Engineering Strategy: Develop and execute a comprehensive data engineering strategy through DataBricks Medallion Architecture. Quality Assurance: Establish and maintain rigorous testing and quality assurance processes to ensure the accuracy and reliability of data engineering solutions.
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Hands-on experience with cloud platforms, preferably Azure (SQL Database, Data Lake), or AWS (Redshift, S3, RDS), OR Snowflake. Proficiency in data modeling tools such as Erwin, Toad Data Modeler, IBM InfoSphere Data Architect, and Microsoft Visio.
$139,050 - $162,225 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Candidate will be given the opportunity to learn and make use of sophisticated tools (SQL, Alteryx, Informatica, SAS, Tableau, SSRS, DataRobot etc) and technologies (Big data like Hadoop, Python/R Programming, AI/Data Science, ) to provide customized automated solutions across multiple business segments.
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Data Scientist II, Department of NeurologyClinical Informatics and Natural Language Processing / Machine LearningWhy UT Southwestern Medical Center? A multi-year Data Scientist position is available in the Department of Neurology and the Clinical Informatics Center at UT Southwestern Medical Center.
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Support vendor risk management and DPIA programs to ensure third parties comply with the Firm’s privacy and data protection requirements. This role requires Data Loss Prevention (DLP) program experience, including conducting investigations related to data loss, data exfiltration, or unauthorized access or use of data, or experience using eDiscovery solutions or similar technology.
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Data Engineering Skills: Competence in data engineering, including experience with big-data technologies, data modelling, and integration from diverse sources. Distributed Computing: Use frameworks like Apache Spark or Databricks to perform real-time and batch data processing at scale.
$85,000 - $128,000 a yearFull-timeExpandApply NowActive JobUpdated 1 month ago - UpvoteDownvoteShare Job
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Technical Acumen: Perform model training and validation using various types of machine learning techniques on structured/unstructured data, including imagery, text and graphs. Technical Oversight: Provide technical guidance on model training and validation using various machine learning techniques on structured/unstructured data, including imagery, text, and graphs.
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Job Responsibilities: Team Leadership and Development:Lead, mentor, and develop a team of data scientists and machine learning engineers. Demonstrated experience leading and mentoring junior data scientists.
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Experience with or basic working knowledge of at least some typical privacy program components and common supporting workflows, including but not limited to:Regulatory monitoring Business requirements definition Policy and procedure drafting Data inventory and information flow mapping Privacy risk management Third party vendor management Interactions with consumers / individuals (data subject requests) Incident management and breach notifications.
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Visualization Tools: Tableau (preferred), QlikView, Power BI Data Quality: Understanding of data quality best practices and experience in implementing data governance principles. Qualifications: Bachelor’s or Master’s degree in Analytics/ Data science (or) any Math/Statistics/Quant background, or Bachelor’s degree in Information Technology or Computer Science with proven experience in data engineering/ business intelligence tools especially strong understanding of database concepts and data modeling.
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Operations & Technology Transformation Senior Consultant, Guidewire Data Migration - ETL Developer. We implement innovative technology solutions spanning core, digital, data, analytics, cloud and AI.
$127,950 - $208,250 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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With the support of our software, Atlas, the Clinical Data Abstractor identifies and validates specific information abstracted and reported from various reports, medical records and electronic files.
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EnLink Midstream is seeking a seasoned data professional that will be responsible for the design and implementation of data management practices, reusable design patterns, and evolving the data services roadmap in partnership with business stakeholders.
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2+ years of experience in cloud ETL tools (Azure data factory, AWS glue) withExperience working with data warehouse tools (Snowflake, Databricks, Redshift etc.) Validate data sources, extraction, transformation logic and upload of data into target tables ( ETL pipelines)Design, develop, and implement comprehensive data quality tests to identify anomalies, inconsistencies, and data integrity issues for new product development initiatives, product changes, policy changes, and database changesWork with other engineers and support teams to identify, log, root-cause, triage, prioritize, and drive resolution of defects.
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The Gift Processing and Data Manager is primarily responsible for overseeing gift and fund administration. Our client, Southwestern Medical Foundation, a leading foundation, is seeking an energetic and proactive Gift Processing and Data Manager.
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Title: big data Company: Amazon in Dallas, FL, Australia
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