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Experience modeling, recommendations/personalization, working with big data using tools such as Apache Spark, Databricks, and Azure cloud computing strongly preferred. You'll also design, implement, and maintain highly scalable big data pipelines, to support internal and external client partners data delivery requirements.
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Utilize Databricks for big data processing and streaming analytics. Experience with big data technologies, such as Apache Hadoop, Spark, Kafka, and others. Stay current with emerging trends and technologies in cloud computing, big data, and data engineering.
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Projects range from data integrations with enterprise systems (e.g. Netsuite, HRIS) to building big data solutions to host predictive modeling. Experience with big data solutions (e.g. Hadoop), especially in service of hosting ML models.
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The Squires Group has an opening for a CLEARED Mid-Level Data Engineer to work a HYBRID schedule out of our client site in Columbia, MD. The ideal candidate has worked with big data systems, complex structured and unstructured data sets, and has supported government data acquisition, analysis, and/or sharing efforts in the past.
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Possessing work experience in Big data engineering (Hadoop, Spark, Scala, Kafka) and ETL/ELT pipeline development (tools: IICS/AWS Glue/SAP BODS/Matillion/DBT/Abinitio/SSIS/SnapLogic); preferable in P&C Insurance data warehouse.
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Systems Engineering, Software Development, Database Design and Engineering, Data Analytics, Semantic Web, Ontology Development, Research and Development, Big Data Processing, Predictive Analytics, Cloud Infrastructure Expertise, Cybersecurity, Intelligence, and Software Engineering.
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5+ years experience in one or multiple Big Data or cloud environments (e.g. AWS, Google AI/ML Platform., Snowflake, Databricks) The Expert Data Scientist will be a champion of the latest Machine Learning and Artificial Intelligence technology stack.
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The Scientists help push the envelope of what is possible in the big data space; streaming live data into a data lake and experimenting with data in the data sandbox.
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In partnership with other business, platform, technology, and analytic teams across the enterprise, design, build and maintain well-engineered data solutions in a variety of environments, including traditional data warehouses, Big Data solutions, and cloud-oriented platforms.
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Familiarity with Big Data tools: Databricks, Spark. Familiarity with data pipeline and workflow management tools: Azure Data Factory, Airflow, etc. Leveraging tools such as Azure Data factory and dbt to automate data movement and transformation from ingestion to production databases.
$107,900 - $161,900 a yearFull-timeExpandApply NowActive JobUpdated 1 month ago - UpvoteDownvoteShare Job
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Enlighten, honored as a Top Workplace from the Baltimore Sun, is a leader in big data solution development and deployment, with expertise in cloud-based services, software and systems engineering, cyber capabilities, and data science.
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The Squires Group has an opening for a CLEARED Mid-Level Data Engineer to work a HYBRID schedule out of our client sites in Columbia, MD, San Antonio, TX, or Sterling, VA. The ideal candidate has worked with big data systems, complex structured and unstructured data sets, and has supported government data acquisition, analysis, and/or sharing efforts in the past.
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At Oracle our exciting mission to build a premier health data platform with intelligent services, brings about several interesting technical challenges. As part of this team, you will accelerate several architectural efforts - achieve orders of magnitude data processing latency improvement, creating comprehensive patient health records that can scale to entire populations of nations, creating a health data lake at massive scale to enable a host of intelligent health services.
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Utilizing experience with NLP and text-based extraction techniques;Understanding of how to develop and operationalize data science analytical models so these models can run in an automated context;Understanding of how to map transformation and flow of data from a source to a target system; and,Problem-solving skills and the ability to translate business requirements into data-driven solutions.
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If you want to learn or use your Big Data experience, then this is for you. Prior exposure to or knowledge of Big Data Platforms is a plus. Experience with distributed databases, NoSQL databases, and full-text search engines (e.g., Elasticsearch, MongoDB, Solr.
$100,000 - $220,000 a yearFull-timeExpandApply NowActive JobUpdated 1 month ago
big data jobs Title: data in Columbia, OK, Canada
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