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4+ years experience with Distributed data/computing tools (Glue, Airflow, EMR, ECS Fargate, Kafka, Spark, Aurora, or MySQL) Utilize programming languages like Scala, Python and Open Source RDBMS and NoSQL databases and Cloud based data warehousing services such as Redshift and Snowflake.
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Experience with data engineering tools such as Databricks, Spark, Elasticsearch, Airflow, or a data warehouse. participate in partnerships with data science leaders, like our partnership with NVIDIA to deliver Deep Learning Institute (DLI) training to the federal government.
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Using advanced techniques like Computational Fluid Dynamics (CFD), you will collaborate closely with our data center design and construction teams as well as internal and external stakeholders, helping to design and efficiently operate OCI and Oracle data centers.
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Our Cybersecurity and Technology Risk Advisory services include Cyber strategy, IT governance, IT risk and cybersecurity assessment, cloud security, privacy and data protection, systems pre- and post-implementation controls evaluation and advisory, systems development life cycle controls assessment, data governance & analytics, resilience, and third-party risk management.
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Your expertise in Apache Spark (Scala), Apache Airflow, AWS Glue, Python, Kubernetes, and Oracle will be crucial in ensuring efficient data processing, storage, and retrieval. Design, develop, and deploy robust data pipelines and workflows using Apache Spark (Scala) and Apache Airflow to support data processing and transformation activities.
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Collaborate with key stakeholders within the US Navy to understand and define data strategy, IT strategy, and data governance requirements and objectives. Relevant certifications (e.g., Certified Data Management Professional (CDMP), AWS Certified Solutions Architect - Data Analytics) preferred.
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Oversee the implementation of data processing workflows, analytics, and machine learning models using Databricks. This role requires a deep understanding of big data technologies, particularly Apache Spark, as well as expertise in data engineering and analytics.
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The Sponsor seeks assistance with performing technical project management that spans technical data analysis, information technology security research, data integration, software evaluation, and graphical visualization disciplines for multiple projects using the Sponsor’s enterprise IT systems.
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Experience with distributed data and computing tools, including Spark, Databricks, Hadoop, Hive, AWS EMR, or Kafka. 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.
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Your expertise in ETL, Databricks, Python, Spark, Scala, JavaScript/JSON, SQL, and Jupyter Notebooks will be essential in ensuring efficient data processing and analysis. Design, develop, and implement end-to-end data pipelines, utilizing ETL processes and technologies such as Databricks, Python, Spark, Scala, JavaScript/JSON, SQL, and Jupyter Notebooks.
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Experience in defining enterprise data strategy in one or more of the following areas such as: cloud data migration, data management, data governance, data supply chain, data security, data archival, data quality, master data management and/or data architecture for medium to large scale corporations.
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As a member of our Trust & Safety data science team, you’ll shape the way we approach data at Gemini by using your analytical and communication skills to work with teams across the business.
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Collaborate with Cepheid's Chief Privacy Officer and intellectual property (IP) attorneys on privacy and cybersecurity - including privacy / cybersecurity by design in product development - as well as appropriate use / incorporation of third-party data / software.
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The Smithsonian Institution’s Office of Advancement seeks a Data Engineer to serve as a key member of the Advancement Technology Services team as we transform our data management approach.
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Center 3 (19075), United States of America, McLean, VirginiaSenior Manager, Data Engineering - Capital One Software (Remote Eligible) Utilize programming languages like Java, Scala, Python and Open Source RDBMS and NoSQL databases and Cloud based data warehousing services such as Redshift, Snowflake, AWS.
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