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Our client is currently seeking an experienced Data Engineer – Big Data individual for their Midtown office in Atlanta, GA. The successful candidate must have Big Data engineering experience and must demonstrate an affinity for working with others to create successful solutions.
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Proficiency in big data technologies and frameworks such as DBT, Airflow, etc., to handle large-scale data processing and analysis. Knowledge of cloud services (GCP BigQuery, dbt) and understanding of how to leverage them for data processing and storage solutions.
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Demonstrated expertise in applying data science techniques and methodologies to biomedical research problems, preferably in areas such as genomics, personalized medicine, or clinical informatics/big data.
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The Director Research IT will possess a blend of business and technical savvy, a big-picture vision with the ability to dive into the weeds, and the drive to make that vision a reality. The Director Research IT is additionally responsible for shaping an institution data and analytics strategy in partnership with scientific leaders, IT teams and administrative department leaders.
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Proficient in SQL and experienced with relational databases (e.g., SQL Server, Oracle, MySQL), big data cloud platforms (e.g., Snowflake, Azure Data Warehouse). Familiarity with data integration and ETL tools (e.g., AWS DMS, SSIS, MuleSoft, Talend.
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Js (data analytics/GUI web tools for big data) Experience with js, AWS, Jenkins, Fortify, TestRail, Atlassian Tool Suite, Sonarqube, Kafka, RabbitMQ, COPPER Familiarity with CM/build tools such as Jenkins, Bitbucket, GIT, Maven Experience with Agile methodology to include Scrum Innovative thinker with excellent problem solving and communication skills.
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Ace Hardware Corporation seeks experienced and driven technologists with a strong blend of business acumen, strong interpersonal skills, and technical expertise in analytics, big data, machine learning, and generative artificial intelligence.
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Collaborate with IT and data science teams to leverage big data and artificial intelligence in pharmacovigilance. Oversee the collection, evaluation, and reporting of adverse event data from clinical trials and post-marketing sources.
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Position Overview Vantage is looking for a Senior Project Controls Manager to support project controls functions globally as part of our end to-end data center development cycle. Provide overall leadership to architect and improve project controls system, processes and specifications to enable teams to leverage historical data, leverage predictive analytics, and support data-driven decision making.
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This role reports to the Head of Strategic Analysis with a focus on actuarial and financial modeling, sensitivity analysis, pro-forma projection and big data analysis as a researcher to support risk and capital management strategy development and will support the development and improvement to the ever-evolving hedge related reporting and analysis.
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Broad experience desired, but not essential, in multiple domain areas, such as data warehousing, business intelligence (BI),data governance, data architecture, data integration, data classification, data strategy, data quality management, data security and privacy, MDM, data standards, regulatory compliance, and enterprise architecture frameworks.
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Master’s degree in data science/bioinformatics/computational biology/machine learning or related field. Support various teams for the processing and interpretation of next-generation sequencing (NGS) data and ensure timely delivery of results.
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Leverage big data technologies to efficiently process and analyze very large datasets, similar to those encountered in a federal agency. - Demonstrated experience working with very large datasets and leveraging big data technologies to process and analyze data efficiently.
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Big data technologies like Hadoop (Hortwonworks, Cloudera, Azure HDInsight, Amazon EMR), Spark, Kafka, Elasticsearch and others; e web, service, data, and infrastructure) and insurance specific (i.e. Guidewire, EIS, Duck Creek, etc.
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Cloud based data and analytics native PaaS components in Azure, Google Cloud, AWS. Data architecture, data modeling and data management across relationship, columnar and noSQL technologies like SQL Server, MongoDB, Vertica, neo4j.
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big data jobs Company: Trustaff in GA, Kansas
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