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Big Data technologies like Apache Spark. Proven track record in end-to-end product development: Lead and guide the entire lifecycle of data projects, from ideation and design to deployment, showcasing versatility in various roles and mentoring junior team members.
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PETADATA is currently looking to hire for the position of Lead Big Data Engineer for one of their clients. The Ideal candidate should be able to define the overall strategy and roadmap for Data-driven decision-making and work towards Big Data Technology solutions implementation.
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Risk IT-Apache Spark/Scala/Big data. Experience in executing Scala/Spark code using Databricks framework." Risk IT-Apache Spark/Scala/Big data. Familiar with Azure ADF based orchestration/ any cloud experience.
ExpandApply NowActive JobUpdated 7 days ago - UpvoteDownvoteShare Job
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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 5 days ago - UpvoteDownvoteShare Job
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Experience working with Big data technologies - Cassandra, Elastic search, document stores. As a Senior Director of Software Engineering - Card Data Product Technology Lead at JPMorgan Chase within the Consumer & Community Banking Card Technology team, you lead multiple technical areas, manage the activities of multiple departments, and collaborate across technical domains.
Full-timeExpandApply NowActive JobUpdated 14 days ago - UpvoteDownvoteShare Job
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Experience with big data technologies such as Hadoop, Spark, or Hive, and proficiency in data visualization tools such as Tableau, Power BI, or Matplotlib. As the Financial Crime Data Analytics Lead in the USDS Financial Crime Compliance, you will play a pivotal role in improving TikTok ecosystem safety by introducing significant enhancements to financial crime technology systems and detection methods.
$147,000 - $374,000 a yearFull-timeExpandUpdated 18 days ago - UpvoteDownvoteShare Job
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A Lead Data Engineer generally works on implementing complex big data projects with a focus on collecting, parsing, managing, analyzing, and visualizing large sets of data to turn information into insights using multiple platforms.
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3+ years of experience with big data frameworks (Amazon EMR, Apache Spark) Work on public cloud infrastructure, Big data technologies, Open Source RDBMS and NoSQL databases, Container Orchestration services including Docker and Kubernetes, and a variety of AWS tools and services.
ExpandApply NowActive JobUpdated 11 days ago - UpvoteDownvoteShare Job
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Experience with Snowflake/BigQuery, Google Dataproc/Databricks or any big data frameworks on Spark. Enable functionality to support analysis, model optimization, statistical testing, model versioning, deployment and monitoring of model and data.
$124,372.5 - $247,200 a yearFull-timeExpandApply NowActive JobUpdated 5 days ago - UpvoteDownvoteShare Job
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Experience with Complex Data Parsing (Big Data Parser) and Natural Language Processing (NLP) Transforms on Azure a plus. The big data engineer should be able to develop prototypes and proof of concepts for the selected solutions.
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Should be an expert in ETL/Pipeline Development using tools such as Azure Databricks and Azure Data Factory with development expertise on batch and real-time data integration. Should be Expert in relational data processing technology like MS SQL, Delta Lake, Spark SQL, SQL Server, and GitHub.
Full-timeExpandApply NowActive JobUpdated 2 days ago - UpvoteDownvoteShare Job
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Optimize Databricks jobs for performance and scalability to handle big data workloads. 5+ years with Data Warehouse Architecture, hands-on experience with Databricks platform. Implement best practices for data management, security, and governance within the Databricks environment.
ExpandApply NowActive JobUpdated 3 months ago - UpvoteDownvoteShare Job
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We are seeking Sr. Lead Software Engineers - Back End Infrastructure / Public Cloud who are passionate about marrying data with emerging technologies in Machine Learning and Generative AI Space.
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The ideal candidate will have broad experience :Java, JavaScript frameworks,databases, Cloud, API's, big data, etc. As a Tech Lead, you will be responsible for building tools, Libraries, SDKs, and CLIs, implementing best practices, leading hackathons, and researching and implementing new industry trends and tools.
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5+ years In-depth knowledge and experience with modern tech stack including Java, Microservices, Containerization, RDBMS, Big Data, Cloud and UI/UX technologies. Global Risk & Control Technology (GRCT) within Global Functions Technology (GFT) This role is a senior management level position as the Engineering lead for Operational Risk, Model Risk and MCA Technology.
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big data jobs Title: lead in New York, NY
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