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Skills Required: Python Machine Learning Scala Apache Spark Reinforcement Learning AWS. Familiarity with systems requiring low latency (Experience with big data technologies such as Scala, Apache Spark, Apache Beam, and AWS Athena.
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The ideal candidate will have experience with Python, Data Engineering, AWS, and databricks. Databricks - cloud-based platform built on Apache Spark that provides a collaborative environment for big data processing and analytics.
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Proficiency with server-side languages for structured data processing; Python, PySpark, Java, Apache Spark, and SparkSQL preferred. The Full Stack Developer (see job description below) will be tasked with executing projects and leading engineering teams to tackle key data-driven technology initiatives.
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Research and apply emerging forms of statistical, machine learning (neural networks / deep networks, ensemble methods, natural language processing, computer vision) and engineering methods to Royal Caribbean Cruise Lines, data science and AI ecosystem.
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Manage and optimize Apache Spark pools for high-performance data processing tasks. Minimum 3 years’ experience working with Cloud technologies such as Synapse pipelines, Azure Data Factory (ADF), ADLS, Azure Databricks, Spark, Azure Synapse, and other modern data ETL/ELT technologies.
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BCforward is currently seeking a highly motivated Data Science/Machine Learning developer for an opportunity in Jersey City, NJ. Position Title: Data Science/Machine Learning developer.
Full-timeExpandApply NowActive JobUpdated 21 days ago - UpvoteDownvoteShare Job
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Experience Google Cloud Platform (GCP) or AWS Scala, sbt, cats Airflow, Kubernetes Google Dataflow/Beam or Spark, SQL, BigQuery or similar data warehouse Responsibilities Be a Senior member of the team by contributing to the architecture, design, and implementation of EMS systems Mentor junior engineers and promote their growth Lead technical projects.
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The Data Engineer will leverage cutting-edge technology in Snowflake, Python, SQL, and Azure to enhance our data capabilities and support the investment decision-making process.
ExpandApply NowActive JobUpdated 9 days ago - UpvoteDownvoteShare Job
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Experience working with data technologies, such as Apache Spark, Kafka, dbt, and data warehouses, for handling large-scale datasets. Is proficient with Python, SQL, and Spark.
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The ideal candidate will have a strong background in AWS, Redshift, Snowflake, dbt, Python, building ETL pipelines, and Machine Learning. Collaborate with data scientists and analysts to support machine learning initiatives and advanced analytics.
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You have expertise in Data Science, Machine Learning, Generative AI, NLP and Computer Vision and expertise in using PySpark and SQL. You will excel in distilling product features into a compelling value proposition and enabling Account Executives and Field Engineers to communicate the value in a way through content and demonstrations.
$221,800 - $392,300Full-timeExpandApply NowActive JobUpdated 23 days ago - UpvoteDownvoteShare Job
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Advanced knowledge of cloud computing technologies such as: Apache Spark, Azure Data Factory, Azure DevOps, Azure ML (Machine Learning), Hadoop, Microsoft Azure, Databricks, AWS, Google Cloud.
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Experience with Databricks UI, Managing Databricks Notebooks, Delta Lake with Python, Delta Lake with Spark SQL, Delta Live Tables, Unity Catalog. 3+ years hands-on experience with high-velocity high-volume stream processing: Apache Kafka and Spark Streaming (A. Experience with real-time data processing and streaming techniques using Spark structured streaming and Kafka B. Deep knowledge of troubleshooting and tuning Spark applications.
ExpandApply NowActive JobUpdated 8 days ago - UpvoteDownvoteShare Job
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Hands on experience in data engineering desired with extensive knowledge of SQL and PySpark, on Databricks Platform. Experience with one or more SQL-on-Hadoop technology (HIVE, Presto, Spark SQL, Databricks) and Hadoop ecosystem.
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ResponsibilitiesYou will assist with on-call rotations as a Live-Ops Incident Commander to help categorize and track real time data incidents, loop in engineering resources as needed to ensure a timely resolution to data issues.
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