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The Department of Public Utilities seeks applicants for the position of Data Analyst II in the Rail Transit Safety Division. The Data Analyst II will support the Rail Transit Safety Division’s data-driven decision-making processes.
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Provide QA/QC, plans and implements defect tracking and management for complex coding and data projects, and ensures project adherence to quality standards and data management principals.
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You will focus on projects from the start of assay development to clinical trial implementation as well as data management to ensure we are obtaining high-quality data from our clinical trials.
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Master's Degree in related field (e.g., Data Science, Predictive Analytics, Machine Learning, Statistics, Applied Mathematics, Computer Science) Bachelor's Degree in related field (e.g. Data Science, Predictive Analytics, Statistics, Marketing Analytics, Applied Mathematics, IT.
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The Software Quality Assurance Testing Engineer will play a key role in the quality assurance of Anti-Money Laundering ("AML"), Sanctions Screening, AML Transaction Monitoring, and Know Your Customer ("KYC") suite of applications in the Boston, MA area.
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Any specific experience with data management best practices, data governance, data quality controls, regional or regulatory reporting requirements is preferable. The person will work directly with stakeholders across – ESG Investments, ESG Product Strategy, ESG Data and Operations, Client, Product and Regulatory Reporting, and Enterprise Risk Management to understand their data and reporting requirements and to translate requirements into functional specifications for technology partners building/ enhancing IT solutions for ESG reporting.
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You will be maintaining our existing Snowflake data warehouse and integrating new data sources as they become availableYou will own, maintain, and build on our Airflow task orchestration systemYou will design new data transforms using SQL/dbt that can be integrated into our Airflow pipelinesYou will work to build strong relationships with and support co-workers, including remote peers in other time zones.
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You will help create and implement data visualization capabilities, quality control methods, and on-line analysis algorithms to facilitate platform efforts. Building this data management system will require incorporating and advancing best practices across statistical analysis, cloud computing, system networking, API generation, ontology management, database schema, query optimization, knowledge graphs, and security protocols.
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Enforce data quality, knowledge retention, and process consistency through the curation and expansion of the institutional data dictionary/catalog. The role analyzes complex datasets to solve business issues, ensures data quality, data policies and standards are enforced across the College's ecosystem.
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Deep understanding/experience with:Data warehouse architecture and designIntegration of the data stack to other tools/servicesExtensive knowledge with implementing data quality checksAdditional Information:This position is eligible for day-one PERM sponsorship for qualified candidates.
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5+ years of data engineering experience, including in senior and team leadership roles, at peer firms utilizing agile methods and modern SDLC processes to deliver quality technological solutions in a transparent, reliable way.
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Experience implementing and maintaining data platform core services (data lake, data integration, data warehouse) and configuring and integrating infrastructure and PAAS (e.g., Azure Data factory, Informatica cloud services, Databricks, Data gateway and Qlik Sense, Power BI.
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Our athenaGives platform strives to support food security, expand access to high-quality healthcare for all, and support STEM education to develop providers and technologists who will provide access to high-quality healthcare for all in the future.
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7+ years of data engineering experience, at peer firms utilizing agile methods and modern SDLC processes to deliver quality technological solutions in a transparent, reliable way. Provide data stewardship to other team members and to Data Operations as they review datasets for completeness and quality.
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Improve quality and efficiency for the use of data at ButcherBox. 4+ years using cloud-based warehouse/data lake (Preferably in Azure Databricks metastores/catalogs or similar stacks such as AWS Athena/Redshift, GCP Bigquery, Azure ADLS, etc.
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data quality jobs Title: data scientist in Boston, MA
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