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Experience in data governance fields as lineage, quality, catalog etc. You will have an opportunity to work in roles such as Cloud Data Engineer, Data Modeler or Data Architect covering all aspects of Data including Data Management, Data Governance and Data Migration.
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Build processes to help identify and improve data quality, consistency and effectiveness. Experience with AWS cloud services: EC2, EMR, RDS, Redshift, Modern data platforms, Snowflake, dbt, Fivetran and Airflow.
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Hands-on experience with data analytics and classical machine learning tools(like pandas, NumPy, scikit-learn)and deep learning frameworks(like Tensorflow, Lang Chain, Pytorch, Flask, Fast API.
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A robust understanding of core data engineering topics – ETL vs ELT, structured and unstructured data, data quality and data governance. The teamThe US data engineering chapter is a professional practice of data and data quality engineers.
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5+ years in data engineering with detailed knowledge of data warehouse technical architectures , infrastructure components , ETL ELT. Build the data pipelines required for the optimal extraction, transformation, integration and loading of raw data from a wide variety of data sources.
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Experience with data engineering technologies such as Kafka, Airflow, Databricks, S3, Spark or Flink. Reporting into the Senior Director of Data Engineering, you will help FanDuel build new data solutions and capabilities quickly and will be eager to test cutting edge technologies as part of these solutions.
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5+ years of experience in data analysis or data science, with 3+ years focusing on machine learning problems, ideally in a relevant space (KYC, sanctions detection, anti-fraud detection, treasury management, crypto/blockchain data science.
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DataAnnotation is committed to creating quality AI. Join our team to help train AI chatbots while gaining the flexibility of remote work and choosing your own schedule. Note: Data Annotation payment is made via PayPal. We will never ask for any money from you.
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The Data Architect will work closely with the Program Manager, Cloud Solutions Architect, data engineers, and data analysts to support multiple public health project teams in their full data management cycle including data ingestion, data cleansing, data transformation, data security, data exploration, and data visualization using Microsoft Azure tools and technologies.
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State government/public sector experience on IT Projects in health and human services programs (such as Medicaid, MMIS, claims processing, eligibility, HHS analytics, data warehouse, etc.) Extensive applied Agile experience, applied Scrum Master experience, and expertise in some/all the following: Medicaid - MMIS - MECT - Health care - Data warehouse - Analytics - JIRA.
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3 years of experience in at least one of the following regulatory requirements and/or compliance issues affecting clients related to privacy and data protection: PCI DSS, GLBA, Basel II, EU Data Protection Directive, International Cross Border and United States’ State Data Privacy Laws. Must have 3 years of technical architecture experience integrating data protection software into clients' infrastructure and applications.
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Join Tosca as our Senior SAP SuccessFactors & Data Analyst and play a pivotal role in transforming our global HR operations. This exciting role includes overseeing the implementation, configuration, and maintenance of SuccessFactors modules, while driving HR analytics and reporting to empower data-driven decision-making.
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Analyzes and evaluates data fields of GCIC/NCIC records in department. Inquiries against confidential criminal justice data bases for compliance with the Rules of the GCIC Council, federal and state laws and operational procedures.
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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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In supporting rule analysis, Teammate should be able to Independently perform sophisticated data analytics that fit to the fraud problem being observed (ranging from classical econometrics to machine learning, neural networks, and natural language processing) in a variety of environments using structured and unstructured data.
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data quality jobs Title: data steward in Atlanta, MS, United Kingdom
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