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The Data Trust and Quality group is a Data Engineering team that focuses on maintaining our analytics tools and developing solutions to our data pipeline integrity and efficiency.
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10+ years experience technically leading and/or implementing end-to-end data management activities, from foundational activities like data governance, data quality, and metadata management, to value-deliverables like data warehousing & BI, data science and analytics, and data driven applications.
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Expertise in establishing data quality assurance frameworks. Lead architectural design sessions for the modern data stack, focusing on solutions that seamlessly integrate with our technology stack, which encompasses Snowflake, Airflow, DBT, and AWS data services.
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Design and architect an enterprise-grade cloud data warehouse/lakehouse on Azure, leveraging Databricks and Snowflake. Proven experience working with Databricks and Snowflake for data warehousing and analytics workloads.
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Determines quality improvement opportunities by collecting and reviewing data. From large scale mass communication projects to highly secure and confidential data analytics using Big Data frameworks like Hadoop and AWS Redshift, ODS has a broad set of proven technical capabilities that help companies make complex digital transformations.
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U.S. Data Security ("USDS") is a subsidiary of TikTok in the U.S. This new, security-first division was created to bring heightened focus and governance to our data protection policies and content assurance protocols to keep U.S. users safe.
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The Data Specialist will be responsible for transferring data from one source to another through data entry equipment, word processing, or verbal recordings. Our mission is to remove and/or help individuals overcome the barriers that deter their pursuit of success in life; effectuate academic and vocational success; provide opportunities for personal, social, and economic growth; promote access to artistic excellence and cultural awareness; increase financial literacy; facilitate opportunities for a better quality of life; and promote health and safety.
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Support the efforts to implement data capabilities Data Strategy, especially data governance and data quality. This role will support the successful transformation of data governance, data quality, reporting and self-service capabilities.
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Knowledge of the data lifecycle, data governance, data quality, and data management best practices. Unify, harmonize, and integrate investment data, including ESG, financial, macroeconomic, instrument, entity, benchmark, market, and portfolio metrics for analytic workflows.
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As the Clinical Care Transport RN Coordinator at LifeLine EMS, you will play a critical role in shaping and overseeing the clinical quality of our Emergency Medical Services (EMS) calls, with a specific focus on Critical Care Transport (CCT.
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3+ years of experience in a Data Analyst, Business Analyst, or similar role using SQL and/or Python/R/bash focused on product analytics or marketing analytics. Identify, analyze, and interpret trends in complex data sets and build dashboards or reports for executives and stakeholders to help inform and spur to action.
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NPI (New product introduction) quality planning (Work Instructions and Procedure development) Interact with CPP NDT level III personnel to ensure product compliance. Experience conducting internal audits using NADCAP Audit checklist for Heat Treatment Experience operating within relevant regulatory requirements, e.g., FAA, OSHA, DCMA, ISO Systems, Quality Assurance/Control and Cost Systems ASNT or ASQ certification, Lean Manufacturing, FMEA, Process Control, SPC, CAD preferred.
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A Certified Registered Nurse Anesthetist (CRNA) in an advanced practice registered nurse (APRN) who practices both autonomously and in collaboration with a variety of health providers on the interprofessional team to deliver high-quality, holistic, evidence-based anesthesia and pain care services.
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Experience working with Palo Alto firewalls; HP ArcSight log management tools; of Security XDR, SIEM tools; in security incident triage; with NeXpose/InsightVM or similar vulnerability scanning tools and creating vulnerability reports; and in administrating/supporting Microsoft Active Directory, SSO, or Multi-factor authentication systems such as Duo Security or Azure MFA. Knowledge of data life cycle, data loss prevention, and data privacy is a plus.
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The Senior Finance Systems Analyst will have a holistic view of data sources, processes, outputs and the ability to trouble shoot and resolve problems related to matching up data sources, data repositories and reporting for the finance department with a focus on revenue.
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data quality jobs Company: Kforce Inc in Los Angeles, CA
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