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The ideal candidate will have a robust understanding of big data processing, experience with Apache Spark, and a proven track record in Python programming. Experience with at least one cloud provider (AWS, Azure, GCP), including their big data processing services.
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KEYWORDS Machine Learning | Physics | Embedded Systems | Signal Processing | Data Analysis | Nvidia | Electrical Engineering | Cloud Computing | Cuda | TensorRT | Radio Frequency | Transmission Processing | Linux OS | Pytorch | Python | Edge Computing.
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Spark Write spark jobs efficiently with algorithms used for big data processing 30% of jobs are toward streaming. Experience with at least one major Massively Parallel Processing (MPP) or cloud database technology (Snowflake, Redshift, Big Query.
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8+ years of experience in data engineering or full-stack quantitative analytics/data science roles. Experience working with data SaaS and BI tooling (Fivetrain, Looker, Databricks, etc.
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Develop, deploy and maintain data processing pipelines using cloud technology such as AWS, Kubernetes, Airflow, Redshift, Databricks, EMR. Experience with data warehouse platforms such as Redshift, Databricks, Big Query, Snowflake.
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Proficiency in SQL, Python, R, Apache Spark or similar product or language is a plus. Qualifications: 5+ years of pre-sales or consultant experience in data analytics, business intelligence, or data science, preferably in the software industry.
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Industry knowledge and experience in areas of Cloud Data processing and migration, advanced analytics Redshift, Glue, Azure EMR, Azure Kinesis, Step functions. Experience in java programming languages Python, Flask, Django, Java 8, Spring, Spring boot.
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Extensive experience with exploratory data analysis, modeling and simulation with programming languages such as Python and R is required. VP, Data Science RWE | Top 5 Pharma.
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Extensive Coding Language Background such as Python, R, SQL, JavaScript, HTML, CSS, C. Proficient with data exploration and data visualization tools like Tableau (Cloud/Desktop/Server, Prep), Looker, Chartio, Micro Strategy, PowerBI and syndicated 3rd party data.
$70,700 - $94,200 a yearFull-timeExpandApply NowActive JobUpdated 3 days ago - UpvoteDownvoteShare Job
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Big Data implementation using Open Source and NoSQL technologies such as Databricks, Spark, Spark Streaming, Kafka, Storm, Zeppelin, Scala, Software development, Hadoop Hive, Hadoop Map Reduce, Hadoop Clusters, Cosmos DB, Azure Data Lake Storage (ADLS.
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These projects should be targeted to enable multiple business processes and/or source data systems to drive efficiencies and reduce redundancies supporting one or more of the following functions: internal audit, compliance, enterprise risk management, operational risk management, technology risk management, third party risk management, cyber security, business resiliency, incident management, SOX (and/or other compliance frameworks), or other business programs/initiatives.
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They are seeking a skilled Engineer (Python, Django, Flask, AWS) to be responsible for the integration and scaling up of their data platforms. Tech Stack: Python, Django, Flask, Kubernetes, CI/CD, AWS.
$150,000 - $180,000 a yearFull-timeExpandApply NowActive JobUpdated 2 days ago - UpvoteDownvoteShare Job
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Experience in forensic data collection and processing of Windows-based desktop and laptop computer systems. Demonstrated ability to perform entry-level data collection and processing under direct supervision.
$65,000 - $117,500 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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The Investment Banking, Vice President, will support the Digital and Data Infrastructure sub-sector of the Communications, Media, and Entertainment (CME) Investment Banking team at RBC Capital Markets.
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In our Data science track we prepare you to get job as one of the following: Python developer, a data analyst, data visualization developer, a statistician, a machine learning engineer or a data scientist.
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big data science processing r python jobs Company: Pwc in New York, NY
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