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Collaborate with data scientists and analysts to support machine learning initiatives and advanced analytics. You will be responsible for designing, developing, and maintaining scalable data pipelines, optimizing data flow, and enabling advanced analytics and machine learning initiatives.
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Expanding, scaling, and standardizing the core foundational principles through consistent observability, lineage, data quality, logging, and alerting across all engineering teams in the Data organization is imperative to the creation of a single pane of glass.
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As part of the Quality and Safety division, Data and Analytics (DnA) empowers NYC Health + Hospitals and its partners with data, digital tools, AI capabilities, and insights to drive quality and performance improvements, support enterprise operations, and enhance patient outcomes.
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Create, deliver, and facilitate a data and metrics-driven quality assurance and performance oversight program, which includes defining frameworks/benchmarks, calibration, and reporting of a program towards set benchmark.
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Minimum THREE (3) years of hands-on experience implementing Collibra data catalog, data governance, data lineage, data privacy, and data quality capabilities. Help define data quality metrics associated with the quality of data ingested into Collibra.
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Purveyors of Standard Procedures: Establish and enforce the highest data quality standards and governance policies, ensuring reliability and regulatory compliance across all data operations.
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Quality Assurance and Data Governance: Knowledge of data quality standards and governance, ensuring data integrity and compliance across all processes. Big Data certifications (e.g., Cloudera Certified Professional (CCP): Data Engineer, Databricks Certified Professional Data Scientist.
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This includes working independently to lead processes, procedures, and collective efforts that ensure data integrity and controls consistent with the Bank’s regulatory and risk management framework as well as data analytics and visualization to inform housing policy and raise awareness about the Bank’s affordable housing and community development impact.
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The Data Center Engineer serves as a technical resource to support Our client equipment that supports critical servers to maintain better than a 99.999% uptime. · Responds to Facility Related Emergency call outs – second level escalation point for Data Center facilities related issues / failures.
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Plano 1 (31061), United States of America, Plano, TexasSenior Data Engineer (Python, Kafka, Databricks, AWS)Do you love building and pioneering in the technology space? As a Capital One Data Engineer, you’ll have the opportunity to be on the forefront of driving a major transformation within Capital One.
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Utilize programming languages like Java, Scala, Python and Open Source RDBMS and NoSQL databases and Cloud based data warehousing services such as Redshift and Snowflake. 2+ years of data warehousing experience (Redshift or Snowflake.
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Architecture Design: Plan, Research and Design secure cloud architecture solutions for our LAN and Azure environments, considering factors such as identity and access management, network security, data protection, and disaster recovery.
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We are seeking candidates with strong linguistic data analysis and language technology experience to manage data collection, data synthesis and data annotation tasks, and Machine Learning model improvements.
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ResponsibilitiesAs a Senior Software Engineer (Full-Stack) on our Search team, you will: Collaborate with Product Manager, Designer, User Researcher, Agile Delivery Lead, Data Scientists, Metadata Librarians, and Engineering team members to explore, shape, and develop new Search & Discover product experiences from ideation to implementation at scale.
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Hands-on experience configuring and implementing an enterprise integration architecture solution using OIC adapters (SOAP, REST, FTP, and other pre-built adapters) based on NFCU's data mapping requirement.
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machine data quality jobs Title: data engineer staff in New York, NY
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