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5+ years in designing, solutioning the Databricks, Snowflake, PySpark and Big data tools including DataOps, Data engineering, Data Integration, Data Orchestration and Data Marketplace.
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Develop and optimize big data processing using Spark and PySpark within the Databricks environment. Design, build, and maintain scalable and reliable data pipelines using Infrastructure as Code (IaC) principles and Databricks along with Datadog.
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Develop data, analytic, and data science models using Python, PySpark, Large Language Models (LLM) algorithms, and working with other big data tools such as AutoML, BigQuery(BQ), BQML, DataPrep and Jupyter Notebook.
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You will construct semantic layers for Looker, MicroStrategy, Tableau, and In-House Tools on top of our big data warehouse, making sure the data is represented to analysts in an accurate, consistent, and performant way.
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Work alongside Architects, Software Engineers, ML Engineers, and Data Scientists to develop innovative big data processing solutions for scaling our core product for eCommerce fraud prevention.
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The Senior Data Scientist is a member of the Data Science Center, which supports Cornerstone's litigation teams with data wrangling and advanced analytics programming in an environment with multiple simultaneous big data projects.
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TRM leverages big data and machine learning to prevent cryptocurrency fraud and financial crime. Our products are trusted by leading companies including PayPal, Visa, FTX, Uniswap, Anchorage, and federal agencies such as the FBI and IRS. Every day, we tackle challenges in data engineering, data science, and threat intelligence to advance our mission to build a safer financial system for billions of people.
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Work on big data / machine learning / data science applied to important problems in biomedicine, supported by ample computational resources. This role is a great opportunity for gaining research skills in undertaking intricate computational projects that combine big data, high-performance computing, and algorithms.
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Strong expertise in design and development on cloud data warehouses like Snowflake, Redshift, BigQuery and Big-Data platforms like Spark, Dremio, Hadoop, Hive. Apple is seeking an experienced, detail-minded data engineer to join our Worldwide Sales Team, Data Solutions & Initiatives (DSI.
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Good knowledge and Proven practical experience in migrating relational data base from on-prem to cloud OR to build cloud-based data lake using either Big Data / Azure Synapse / Databricks / Snowflake.
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Our transportation client is looking for a Big Data Engineer - Spark/Databricks to join their team. Experience with real-time data processing and streaming techniques using Spark structured streaming and Kafka.
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Experience with at least one major Massively Parallel Processing (MPP) or cloud database technology (Snowflake, Redshift, Big Query) Expanding, scaling, and standardizing the core foundational principles through consistent observability, lineage, data quality, logging, and alerting across all engineering teams in the Data organization is imperative to the creation of a single pane of glass.
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4) 3 years of experience in the past 4 years in working with years of experience in big data technologies such as Apache Hadoop, Apache Spark, or Apache Kafka. 2) 3 years of experience in the past 4 years in working with Azure Cloud platform, including familiarity with other Azure services like Azure Data Lake Storage, Azure Databricks, Azure Data Factory, and Azure DevOps.
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Location: San Jose, California, United States About Supermicro: Supermicro is a Top Tier provider of advanced server, storage, and networking solutions for Data Center, Cloud Computing, Enterprise IT, Hadoop/ Big Data, Hyperscale, HPC and IoT/Embedded customers worldwide.
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Supermicro is a Top Tier provider of advanced server, storage, and networking solutions for Data Center, Cloud Computing, Enterprise IT, Hadoop/ Big Data, Hyperscale, HPC and IoT/Embedded customers worldwide.
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big data jobs Title: clinician behavioral health Company: Echn Careers in MA, Minnesota
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