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Define company data assets (data model), spark, sparkSQL and hiveSQL jobs to populate data modelsCollaborate with cross-functional teams, including Marketing, Data Science, and IT , to understand data requirements and design efficient data pipelines for marketing data integration.
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Experienced with open source big data processing technologies such as Airflow, Hive, Flink, Spark, Kafka, Storm, etcKnowledgeable with Data Science tools and frameworks. Contribute to the overall architecture and design of healthcare monitoring applications, providing valuable input on data processing and data governance.
$140,000 - $200,000 a yearFull-timeExpandApply NowActive JobUpdated 7 days ago - UpvoteDownvoteShare Job
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The company is using the power of next-generation sequencing, population-scale clinical studies, and state-of-the-art computer science and data science to enhance the scientific understanding of cancer biology, and to develop its multi-cancer early detection blood test.
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The Data Science Engineer will work closely with the CTO and Data and Engineering Team to build the core bioinformatics and data platform at the heart of the company's drug discovery engine.
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Data science, machine learning, optimization models, Master’s degree in Machine Learning, Computer Science, Information Technology, Operations Research, Statistics, Applied Mathematics, Econometrics, Successful completion of one or more assessments in Python, Spark, Scala, or R, Using open source frameworks (for example, scikit learn, tensorflow, torch)Primary Location.
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Degree (Masters preferred) in Computer Science, Information Systems, Data Science, or related field and 3-5 years of experience in data engineering, or an equivalent combination of education and experience.
$110,400 - $148,000 a yearFull-timeExpandApply NowActive JobUpdated 7 days ago - UpvoteDownvoteShare Job
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Databricks Certified Developer or Databricks Certified Data Engineer certification. · Proven experience as a Data Engineer with a focus on Databricks. As a Data Engineer , you will play a crucial role in designing, developing, and maintaining our data infrastructure to support the organization's data-driven initiatives.
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A proven track record in building and maintaining big data platforms for streaming and batch data processing, data engineering, building backend systems and APIs. Solid background in the fundamentals of computer science, distributed systems, concurrency, resiliency, caching, large scale data processing, database schema design and data warehousing.
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Your role as a Data Engineer: In this role you will be responsible for designing, developing, and maintaining data pipelines in support of data management functions such as data engineering, data integration and data quality and governance activities.
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Familiarity with using Databricks or a similar platform for data engineering & data science. Bachelor's degree in a quantitative discipline: statistics, applied mathematics, computer science, data mining, machine learning, or some other empirical science; in lieu of a Bachelor's degree, candidates with 9+ years of equivalent experience will be considered.
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Open up opportunities with HPE.Job Description:Senior Big Data Platform EngineerHPE is looking for Big data platform engineers with a strong background in building robust and scalable solutions in data warehousing, ETL, big data/analytics, data science, and cloud platforms based on Hadoop/Cloudera , Data Bricks and other cloud platforms.
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About the Role:We’re looking for a Data Engineer to help us maintain the foundation of our data warehouse and create an opinionated structure to our data model that can set the standard for our embedded analysts to expand.
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As a Software Engineer - Data Platform and Products at Branch, we are looking for an ambitious, self driven individual who is at home on a PB scale data platform to join our growing data platform, products and engineering team.
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B.S. in Computer Science (or equivalent experience) and at least 1 year professional experience working as part of an Agile team using DevOps practices and modern programming languages and frameworks to develop and engineer data-related services and applications to cloud platforms.
$90,000 - $120,000 a yearFull-timeExpandApply NowActive JobUpdated 7 days ago - UpvoteDownvoteShare Job
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Strong knowledge in SQL, modern programming languages (e.g., Python, R), and common data pipeline/data science libraries. The Senior Data Engineer occupies a key technical leadership role within the Data Services team, possessing extensive knowledge and capabilities in data engineering across a variety of platforms, frameworks, and languages.
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data science jobs Title: data engineer
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