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Hands on development in Python, PL/SQL, SQL, Shell Scripting, AutoSys. Hands on experience working in cloud data platforms such as AWS Redshift, Spark based data engineering solutions.
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Hands on experience working in cloud data platforms such as AWS Redshift, Spark based data engineering solutions. Hands on experience with establishing data strategies and data transformation implementations with in a fast paced, dynamically growing sector in the industry.
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Hands-on experience in integration of large multi-omics data (genomics, transcriptomics, proteomics and metabolomics) to answer key scientific questions related to precision medicine and understanding disease.
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Manager - LAN/Wireless Product Engineering and OpsNetwork Platform Manager LAN/Wireless is an engineering lead who will oversee the engineering, delivery and operations for ADUSA’s local area networks and wireless platforms which spans across all retail brands, corp offices, distribution centers, data centers and warerooms and will have responsibility for supporting the multi-year strategy to transform the LAN and Wireless architecture, and all associated technologies.
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Experienced professional (7+ years experience) as ML engineer, architect, engineer, lead data scientist in Big Data ecosystem or any similar distributed or public cloud platform, with a desire to assume greater responsibilities as a leader and mentor, while still being hands-on.
$150,000 - $230,000 a yearFull-timeExpandApply NowActive JobUpdated 1 month ago - UpvoteDownvoteShare Job
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Hands-on experience with one or more front end technologies (React, TypeScript, Angular, Vue, etc.) How You Will Make a Difference: Collaborate closely with Product Management, Engineering leaders, UX Design, and Data Science to innovate and deliver new functionalities for the home page.
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4+ years hands-on data engineering software. A Senior Data Engineer will use his or her hands-on expertise in Spark/Hadoop, Scala programming, Linux scripting, AWS, DevOps and API technologies to expand and optimize architecture, data flows, infrastructure, APIs and data pipelines to support the Epsilon PeopleCloud Discovery Platform.
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Hands on experience in architecting Cloud data solutions using AWS, Databricks, Python, PySpark, SQL. Experience and detailed knowledge with ETL, Data Quality, metadata management, Data Engineering, streaming data loads.
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In order to augment the team, we are looking for a senior engineering lead who has had experience developing and deploying highly performant web based applications and REST service end-points on cloud infrastructure.
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Working with hundreds of millions of records, the Statistical Data Analyst will need to develop a deep understanding of each source-data structure, work with clinical informatics, epidemiology, data science and engineering teams on data integration, proprietary outcomes measures, and provide analytic support and validation of one or more business areas within life sciences.
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Advanced knowledge with high-throughput CRISPR functional genomic screens; hands-on experience in the analysis of functional genomic screen data and integration of functional genomics with molecular profiling and other data types.
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Hands-on experience in a molecular biology laboratory. Familiarity with concepts in molecular biology, DNA sequencing, biochemistry, data storage, and computing. Job Description CATALOG, a Boston-based pioneering startup, is making significant strides in the field of data storage and computation by harnessing the power of DNA. DNA, known for its millennia-long stability, unrivaled information density, and cost-effective replicability, offers revolutionary potential for latency-tolerant high-density data storage and massively parallel computation.
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Strong hands-on experience with deep learning tools (e.g., PyTorch or TensorFlow-Keras) is required. Provide technical guidance to lab members on projects at the intersection of engineering and molecular biology.
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Hands-on experience developing microservice applications and familiarity with microservices architectureProgramming language: C#Familiar with source code repositories and CI/CD such as Azure DevOps, Azure Pipelines and GitHubExperience using Rancher KubernetesExperience in API development Preferred Qualifications: SaMD previous experienceEnterprise software experience, Cloud and/or SaaS providers, or web application providers is a plus.
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Enthusium for exploring the intersection of software and data engineering, data science and life scicnes to develop innovative applications that accelerate the drug discovery process.
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data engineering hands on jobs in Boston, MA
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