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Education: Master's degree in Statistics, Data Science, Physics, Mathematics, Biophysics, Engineering, Chemistry science or a related field. Experience with open-source software, tools, and databases for analyzing next-generation sequencing data (RNseq, ChIP-seq, ATAC-Seq, DNA variation, epigenetics, microbiome, metagenomics etc.
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Apply your skills with Databricks, using Python, and big data streaming to pioneer client technologies and data. Lovelytics is seeking a Databricks-certified skilled consultant with experience delivering and leading strategic Databricks and data engineering client engagements.
$185,000 a yearFull-timeExpandApply NowActive JobUpdated 2 days ago - UpvoteDownvoteShare Job
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Stay updated with the latest technologies and trends in big data, data engineering, data science, and REST API development, and provide recommendations for process improvements.
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Experience leveraging complex data to drive business decisions, hands-on experience in data science methodologies (predictive analytics, machine learning, patient level data triggers) using R, Python, Databricks and deep knowledge of Qlik, PowerBI, Tableau for visualization.
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As a lead engineer with Retail, Site Reliability Engineering team, you will be at the forefront of Cloud and Big Data technology. Advisory o Software Engineering, Computer Science equivalent, or STEM degree (Desirable) or commensurate experience 10+ years of total software engineering experience 2+ years support a production system on a DevOps team 2+ years of experience running and building systems in cloud platforms such as Amazon Web Services, Google Cloud or Microsoft Azure.
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As a Data SME, your expertise in Data Science, Data Visualization, and Data Engineering will be pivotal in shaping the future of our data-driven capabilities.
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5+ years working experience with key open source big-data projects as a contributor or committer including Apache Spark, Apache Flink, Trino, Apache Kafka, Apache Hive, Apache Arrow, Apache Hadoop, Delta Lake, Apache Iceberg.
$419,750 a yearFull-timeExpandApply NowActive JobUpdated 6+ months ago - UpvoteDownvoteShare Job
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You will work with the open source community to accelerate Apache Spark with GPUs for data science. Leading the design and implementation of accelerated Apache Spark and related big-data frameworks.
$414,000 a yearFull-timeExpandApply NowActive JobUpdated 6+ months ago - UpvoteDownvoteShare Job
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Proficiency with data platform architecture, design, data dictionaries, multi-dimensional models, objects, star and snowflake schemas as well as structures for data lakes, data science, and data warehouses.
$241,000 a yearFull-timeExpandApply NowActive JobUpdated 12 days ago - UpvoteDownvoteShare Job
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Bachelor's Degree Management Information Systems, Finance, Mathematics, Economics, Computer Science, Engineering, Statistics, Public Health, Epidemiology or related quantitative discipline.
$118,000 a yearFull-timeRemoteExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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An organic chemist with cross-functional analytical, synthetic, modeling, and experimental skillsets that can add value within the context of an engineering chemical system. A mechanical engineer with a knack for mechanical and structure design and engineering.
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Experience working with cloud or on-prem Big Data/MPP analytics platform(i.e. Netezza, Teradata, AWS Redshift, Google BigQuery, Azure Data Warehouse, or similar). Act as a subject matter expert in a specific domain or class of data engineering challenges, leading by example and mentoring others.
$242,000 a yearFull-timeExpandApply NowActive JobUpdated 1 month ago - UpvoteDownvoteShare Job
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Master’s degree in Computational Biology, Bioinformatics, Applied Mathematics, Computer Science, Electrical Engineering, or other quantitative field preferred. Strong software engineering in Python and data analysis experience (statistics, machine learning, numerical computing) is required.
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Strong experience in Databricks/Vertex AI for big data and data science use cases. Automate data pipelines for Databricks/Vertex AI, BigQuery, and real-time stream pipelines using Kafka/Pub Sub.
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Build the infrastructure required for optimal extraction, transformation, and loading of data from a wide variety of data sources using SQL and (GCP, AWS, Azure, Snowflake) ‘big data’ technologies.
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big data science engineering jobs Company: Capitalg Management Company Llc
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