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The AWP Data Coordinator collaborates closely with discipline leads, the AWP Manager, and workface planners, contributing to Worley's mission of delivering sustainable change through innovative project solutions.
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Experience in working with data classification and protection, server & endpoint security platforms (e.g. AV, encryption, HIPS), enterprise security event log management, OS/platform security standards, vulnerability management, and data loss prevention.
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Join one of the world's most influential companies and leverage your skills in cybersecurity to have a real impact on the financial industry.
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Building and maintaining ETL pipelines with large data sets using services such as AWS Glue, EMR, Kinesis or Kafka, CloudWatch; Python development experience with proficiency in Spark or PySpark and in using API; AWS Services such as AWS Lambda, Event Bridge, Step functions, SNS, SQS, S3 and MI models; Knowledge of machine learning, deep learning AMIs and natural language processing (NLP) techniques.
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Lead Data Governance Initiatives: Drive initiatives related to Master Data Management, Data Security, Data Quality, Data Retention, and Data Definitions and cataloging.
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Work with data scientists to compile and analyze data from beta tests; translate results; prepare recommendations for further testing or application development as part of the product development cycle.
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Who You Are (Basic Qualifications)Experience with Data Governance, Master Data Management, and Enterprise Data Quality platforms. Experience with Data Catalog tools such as Alation, Atlan or AtaccamaExperience with Data Governance and Enterprise Data Quality tools and platforms such as SAP MDG, TIBCO EBX.Experience implementing enterprise-wide Data Governance tools and programs.
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Knowledge of Statistics, SAS, Python, Computer Vision, data visualization tools. Currently, We are looking for entry-level software programmers, Java Full stack developers, Python/Java developers, Data analysts/ Data Scientists, Machine Learning engineers for full time positions with clients.
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Defines vendor selection and services engagements in data and digital domain of EA. Experience with transitioning projects to product development lifecycles. Enterprise Architect, Digital and Data Location: Houston, TX, US Employment type: Employee Place of work: Hybrid Offshore/Onshore: Onshore TechnipFMC is committed to driving real change in the energy industry.
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Join Our Team as a Technical Product Specialist Are you ready to make a meaningful impact in the chemical industry? We are seeking a dedicated and experienced Technical Product Specialist to be a vital part of our Technical Services team, closely integrated with our US Commercial division.
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An excellent opportunity has arisen to join the dynamic global Market Data team of Global Investment Bank in their Houston or Philadelphia office supporting the firm's Commodities - Energy Trading/Investment Markets businesses.
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Adjunct Faculty - MS Applied Data Science The University of St. Thomas (UST), a private Catholic university committed to the liberal arts and the religious and intellectual tradition of Catholic higher education, invites applications from outstanding candidates for an adjunct faculty position in the Master of Science in Applied Data Science program.
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Solid experience with big data technologies (Apache Spark, Hadoop, Kafka) and cloud services (AWS, Azure) related to data processing and storage. Utilize ETL tools and frameworks (e.g., Apache Airflow, Talend) to automate data workflows, ensuring efficient data integration and timely availability of data for analytics.
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Your responsibilities will include collaborating with MMA and data vendors to develop and implement data strategies, documenting and implementing custom programming for data conversion, supporting data validation efforts, and identifying risks in test results.
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What we're looking for Six (6) or more experience in data analysis tools and programming languages such as SQL, Python, R, and SAS. Familiarity with data visualization tools like Tableau, Power BI, or similar.
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Title: data product Company: Chime in Houston, TX
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