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Experience as a Lead and mentor of a team of data engineers to design, develop and maintain robust data movement pipelines using a variety of technologies including (but not limited to) che Airbyte, Airflow, Kafka, Flink, CDC technologies like Debezium, Oracle Golden Gate as well as relevant Big Data technologies like Hudi, Presto, Trino, and Azure Data Lake Services.
$120,000 - $261,500 a yearFull-timeExpandApply NowActive JobUpdated Yesterday - UpvoteDownvoteShare Job
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GAI's team members work side by side with government IT executives and OEM partners to solve complex business problems such as AI/ML, RPA, Cyber Security, Big Data, Data Center & Cloud.
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Assist in the maintenance of services and procedures for a big data pipeline which includes Kafka, Elasticsearch, and several in house written python/java micro services running on Kubernetes.
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Working knowledge of data visualization tools such as Qlik and Tableau. Support Federal government clients in a broad array of data science efforts. Lead a team of 2-3 data analysts / data scientists.
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You will work to cultivate data science skills within the NIH by teaching courses to scientists on best data practices (e.g. Software and Data Carpentries, BrainHack Global as well as interfacing with specific neuroimaging repositories (e.g. The Adolescent Brain and Cognitive Development Project (ABCD), OpenNeuro, UK Biobank, The NIMH Data Archive.
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At least 2 years of experience in big data technologies. Utilize programming languages like Scala, Java, Python, SQL and GO and NoSQL databases and Cloud based data warehousing services such as Redshift and Snowflake.
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Join a fast-growing company highly experienced in cyber security, cloud computing, virtualization, big data analytics, and project management! Assist in maintaining and enhancing the infrastructure that supports both the on-premise data center and cloud-based operations.
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The NBS is a “one-stop” database of curated, regularly maintained hydrographic data collected by NOAA and other Federal providers. Expertise and knowledge in the field of hydrographic surveying and ocean mapping, including, but not limited to, acquisition of hydrographic survey data using sonar equipment and hydrographic software, analyzing/processing raw data, and creating intermediate charting products.
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Prepares the monthly credit dashboard data to provide consistent and timely documentation to the CCO in support of the Bank's CECL, Concentration, and Special Assets reporting requirements. The Credit Administration Analyst, working directly with the Chief Credit Officer (CCO), is responsible for collection, evaluation, and entry of data elements necessary to support the Bank's estimates of lifetime expected credit losses, concentration management program.
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This role will support the DTR IT team in creating complex technical projects including various web applications, dashboards, and data analytics related tools for DTR and CUP which integrate with OSISoft PI and Maximo asset management system.
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Big Data, Data Management, Business Intelligence, Mobile and Web Apps, Business Process Re-engineering, Business Process Management, artificial intelligence, intelligent automation, Information Management, and Digital Transformation.
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A good command of statistics, sampling methodologies, and statistical analysis software such as SPSS, STATA, NVivo, among others, managing complex data collection and analysis efforts. Engages in Monitoring and Evaluation and research projects through, developing timelines, developing research instruments, coordinating outreach/activities collecting data, analyzing data, writing reports, and preparing and facilitating presentations/workshops.
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Proven experience building enterprise-grade software in a cloud-native environment (GCP or AWS) using cloud services such as GCS/S3, Dataflow/Glue, Data proc/EMR, Cloud Function/Lambda, Big Query/Athena, Big Table/Dynamo.
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3) Working in the big data ecosystem using AWS, Hadoop, Scala, Spark, Hive, and Kafka. (2) Utilizing Snowflake, Postgresql, and knowledge of Data Modeling to build databases and data architecture, including creating Tables, Views, Indexes, Stored procedures, and Data pipelines.
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Experience with data engineering tools, including Databricks, Spark, Elasticsearch, Airflow, or a data warehouse. You’ll develop algorithms, write scripts, build predictive analytics, apply ML and deep learning, and use the right combination of tools and frameworks to turn that set of disparate data points into objective answers to help drive innovation, research, and development for our military and government leaders to make informed decisions.
$96,600 - $220,000 a yearFull-timeExpandApply NowActive JobUpdated Yesterday
big data jobs Company: Inadev Corporation in Rockville, MD
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