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Experience with big data processing frameworks like Apache Hadoop, Apache Spark, Apache Flink, or similar. Strong problem-solving skills and ability to optimize and tune big data processing systems for performance and scalability.
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Experience with Databricks or similar big data processing platforms. Leverage Databricks for big data analytics and processing. Proven experience in a Data Engineering role with a focus on Data Virtualization, SQL, and Python.
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PETADATA is currently looking to hire for the position of Lead Big Data Engineer for one of their clients. Should be Expert in relational data processing technology like MS SQL, Delta Lake, Spark SQL, SQL Server, and GitHub.
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We are looking for a passionate Software Engineer, Big-Data Engineer, Machine-Learning Engineer, Full-stack Engineer, or UI/UX Engineer, who can contribute and make a difference in any of the different components of our Knowledge Graph Platform.
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Stay abreast of the latest technologies and trends in big data, data engineering, data science, and REST API development, providing recommendations for process improvements.
$160,000 - $180,000 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Strong mathematical background with strong knowledge in at least one of the following fields: statistics, data mining, machine learning, statistics, operations research, econometrics, natural language processing.
$55,000 - $136,000 a yearFull-timeExpandApply NowActive JobUpdated 2 days ago - UpvoteDownvoteShare Job
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From custom software development to cloud hosting, from big data to cognitive computing, we help companies harness and leverage today's most cutting-edge digital technologies to create value and grow.
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Experience working with big data distributed programming languages and ecosystems such as Hadoop, MapReduce, Pig, or Kafka. As needed, collaborate with internal and external stakeholders to identify object detection, optical character recognition, automation, predictive modeling, pattern analysis, natural language processing, fraud detection, and other business cases for using ML.
$200,000 - $250,000 a yearFull-timeWork from homeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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You are skilled in a broad set of ETL/Big Data processing techniques and will lead the architecture, design and implementation of scalable, extensible, and highly available data ETL pipelines on large volume data sets, which will enable actionable insights and ML workloads across Pfizer’s Commercial business.
$149,200 - $248,600 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Have an opportunity to work on a broad range of problems, often dealing with large data sets, including real-time processing, messaging, workflow and UI/UX. leverage modern frameworks to build responsive and intuitive front end and Big Data applications.
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Experience delivering data products based on modern cloud big data technologies; DataBricks, Snowflake, BiqQuery, RedShift or equivalent. Collaborate with Engineering : Work closely with engineering teams to make key architectural decisions, ensuring efficient data processing and storage.
$150,000 - $170,000 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Approximately 8-10 years in designing developing and implementing data and analytics strategies and solutions including data management, quality management, master data management, big data, AI, ML, IoT, and other emerging technologies.
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Utilize Snowflake, Spark, and Databricks for data processing, analysis, and machine learning tasks. Hands-on experience with Snowflake, Spark, and Databricks for data processing and analysis.
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And big data pipelines and databasesExperience in AI applied research, preferably in Natural Language Processing (NLP) and industrial recommender systemsExperience as the tech lead for an engineering or research teamA high bar for engineering excellence in terms of practices and processesBenefits are an essential part of your total compensation for the work you do every day.
$149,200 - $234,850Full-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Data engineers will implement infrastructure for data processing, analysis, reporting, integrations, and machine learning model deployment. Technical expertise with distributed Spark or other distributed data processing technologies.
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big data processing jobs in New York
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