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Design pattern, java, php, programming, project architect, senior software engineer. The Procurement and Vendor Management Operational Risk Analyst III supports effective departmental management under NFCU Data Governance Standards.
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STADS supports the development of new data products to meet the data needs of Fund users with a focus on statistical innovation, including data analytics and Big Data. It supports the Fund's data governance bodies in implementing the Fund's strategic priorities for data management policies.
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The Mainframe Operations Engineer will be responsible for the efficient operation and maintenance of mainframe computer systems and related hardware and software. Node. Digital is seeking a Mainframe Operations Engineer to join our team.
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Experience in Big Data ecosystem : ETL, tooling of Big Data Platform (Apache Spark, Airflow), Datalake, Synapse or Snowflake. As a Senior Reliability Engineer, you will play a critical role in ensuring the robustness, availability, and performance of our cutting-edge Data Engineering and Machine Learning Platforms.
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As a big data engineer at Booz Allen, you'll implement data engineering activities on some of the most mission-driven projects in the industry. We need an experienced data engineer like you to help our clients find answers in their big data to impact important missions-from fraud detection to cancer research to national intelligence.
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This role will provide expertise to support the development of a Big Data / Data Lake system architecture that supports enterprise data operations for the District of Columbia government, including the Internet of Things (IoT) / Smart City projects, enterprise data warehouse, the open data portal, and data science applications.
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We are hiring a Sr. Software Engineer to join the Workflow Engineering Teamto develop applications and services that orchestrate and automate business process logic workflows for enterprise applications under the Cloud and Data Transformation Engineering Organization.
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We are searching for a Computer Vision/Machine Learning Engineer to join our collaborative group that includes a mix of big data, API, and full stack development teams. 4+ years of professional development experience as Machine Learning Engineer, Data Scientist or related role.
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Conduct interviews with client stakeholders to assess current metadata management and data governance capabilities and refine use cases associated with metadata management, taxonomy, and ontology development.
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Experience with big data, distributed systems, cloud platforms (Hadoop, AWS, Spark, Kafka, etc.) We define, architect, design and prototype creative ways to integrate and fuse all-source intelligence and new sources of data to empower analysts and inform the programmatic and technical direction of new and existing programs.
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Must have an understanding of the Data Governance products configuration and how they work together, e.g. DPM onboarding with EDC to show lineage/metadata. Expert-level skills in Informatica Data Governance implementation with products including Data Privacy Management, Enterprise Data Catalog (EDC.
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What You’ll Do: As a Senior Software Engineer , you will be responsible for working on projects that support and extend the full stack of the TRSS solutions suite to deliver global data using advanced search, big data ingestion and analytical processing using tools like MongoDB, Elastic, and Kafka as well as building leading edge web applications.
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As a lead big data engineer at Booz Allen, you'll use your expertise to lead data engineering activities on some of the most mission-driven projects in the industry. As a data engineer, you know that organizing big data can yield pivotal insights when it's gathered from disparate sources.
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Proficiency in using various data analysis and visualization tools and software, such as Excel, SQL, R, Python, Power BI, Tableau, etc. Conducting research and benchmarking to provide context and best practices for HR data analysis and interpretationCollaborating with HR and business partners to understand their data needs and provide solutions that support their goals and initiativesEnsuring data quality, accuracy, and compliance with data governance and privacy standards Requirements:Education: A bachelor’s degree or higher in human resources, statistics, data science, business, or equivalent related experience.
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3+ years experience with Big Data technologies, such asApache Hadoop, Hive or Spark, Databricks and/or Snowflake. Experience with Data Management methodologies and practices such as data warehousing, data integration (ETL/ELT), visualizations, metadata management, data security, data governance, data quality and analytics.
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big data governance software engineer jobs in Mclean, VA
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