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Conduct data management maturity assessments and identify pain points for including data quality, governance, architecture, analytics, metadata management, master data management.
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Ensure data governance principles adopted, data quality checks and data lineage implemented in each hop of the dataPartner with the data teams, enterprise architecture organization to ensure best use of standards for the key data domains and use casesContinuous learner with an eye on emerging trends around data lake architecture and enterprise data solutions.
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Collaborate with different teams in EDM (Data Cloud, Architecture, Data Governance Tech, Data Science) and support strategic initiatives such as data governance, data-as-a-service, and self-service analytics.
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Data Governance Knowledge Skills Understanding of data governance frameworks, policies, data cataloging, CDE, metadata and data quality Ability to implement and enforce data governance standards.
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Design, build, and maintain scalable and reliable data pipelines using Infrastructure as Code (IaC) principles and Databricks along with Datadog. Develop and optimize big data processing using Spark and PySpark within the Databricks environment.
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Act as the product owner of key strategic data products, working in collaboration with colleagues from across the Audubon data teams to ensure selection of appropriate technological approaches and tools and overseeing the product lifecycle in order to deliver high quality and efficient solutions to user-driven requirements and strategic priorities.
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We need you to help us establish a vision for the data ecosystem evolution while satisfying day to day demands of a rapidly growing early stage startup. We are looking for a founding member of the Coast data engineering team to shape our company's data culture and underlying infrastructure.
$185,000 - $220,000 a yearFull-timeExpandApply NowActive JobUpdated 2 days ago - UpvoteDownvoteShare Job
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Reporting to the QA Manager, the Quality Assurance (QA) Tester will be involved in all stages of the software development lifecycle. - Perform data validation on the backend Oracle or MS SQL database by writing SQL queries.
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Working knowledge of equity swaps configuration, TRS Generator configuration (& related static data), rate curve definitions, rate curve assignments, Pricing template, calculation templates, processing templates, VaR modules, CVA, LiveBook, OSP within Murex 3.
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Use workflow orchestration tools such as Databricks Workflows or Airflow to automate data processing. Our data science platform serves as a basis for advanced analytics including, but not limited to audience predictive models, real time data analysis, media mix models, campaign optimization, data assessments for 1st, 2nd and 3rd party data, and audience development (sizing, planning, profiling.
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Ensure a firm wide partnership and commitment across the functions for data architecture, data engineering, data governance and data quality. Establish and act as ultimate owner of enterprise data quality standards and data dictionary and be accountable, in liaison with the data owners, for data integrity at each step of the life cycle of the data production, aggregation / transformation, controls and reporting.
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Your role as a Data Engineer: In this role you will be responsible for designing, developing, and maintaining data pipelines in support of data management functions such as data engineering, data integration and data quality and governance activities.
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Implement a data quality initiative to ensure quality and accuracy of regulatory reporting data. The successful candidate will be responsible for implementing a data quality initiative to ensure the quality and accuracy of regulatory reporting data.
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Implement and enforce security best practices to protect data and resources in the Databricks environment, including authentication, authorization, encryption, and data governance. As a Databricks Administrator, you will play a critical role in ensuring the reliability, scalability, and security of our Databricks platform, enabling our data engineers, data scientists, and analysts to leverage the full potential of Databricks for analytics and machine learning.
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The Office of Enforcement and Neighborhood Services is composed of six divisions: Data Management & Technology (DMT), Division of Neighborhood Preservation (DNP), Administration & Internal Compliance (AIC), Housing Litigation Division (HLD), Division of Code Enforcement (DCE), and Emergency Operations and Enhanced Enforcement Division (EOD.
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data quality jobs Title: manager Company: Premier Research in Queens, NY
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