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Desired skills: Apache Airflow, Apache Spark, Docker or Kubernetes, Snowflake, ML libraries (examples: tensorflow, scikit-learn, etc.) Be a self-motivated engineer who has a passion for working with technologies including Amazon Redshift, Google Cloud Products, Python, Spark, SQL while staying current and curious about exploring the latest and greatest.
$100,000 - $120,000 a yearFull-timeExpandApply NowActive JobUpdated 3 days ago - UpvoteDownvoteShare Job
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Apache Spark, Kafka, Airflow, Kubernetes, Databricks, Snowflake and more. Apache Spark, Kafka, Airflow, Kubernetes, Databricks, Snowflake and more. Databases/Storage knowledge: Snowflake, PostgreSQL, Elasticsearch.
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Experience analyzing large datasets using tools like Presto, Hive or Spark. Research Scientist, Central Applied Science (PhD) Responsibilities Work with vast amounts of data, generate research questions that push the state-of-the-art, and build data-driven products.
$116,002 - $168,000 a yearFull-timeExpandApply NowActive JobUpdated Yesterday - UpvoteDownvoteShare Job
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Be fluent in a data science programming language (e.g., Python, R) and distributed platforms (e.g., Spark, Hadoop) Collaborating with industry leaders like Boeing, Northrop Grumman, and Lockheed Martin, as well as esteemed academic institutions such as Georgia Tech and NC State University, we strive to push the boundaries of what's possible in defense technology.
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Minimum of 6 years of experience in data engineering roles, with a focus on Apache Spark and big data technologies. Design, develop, and optimize data processing workflows using Apache Spark for large-scale data analytics and machine learning applications.
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Knowledge of big data technologies such as Apache Spark. Experience with Databricks for data engineering and analytics preferred. Knowledge of big data technologies such as Apache Spark. Familiarity with data visualization tools (e.g., Tableau, Power BI.
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Excellent experience in Object-Oriented programming (Java, Python, C#), Airflow, Apache Spark, source control (GIT) & versioning. Excellent experience in Object-Oriented programming (Java, Python, C#), Airflow, Apache Spark, source control (GIT) & versioning.
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If you’re all about integrity and top-notch work, welcome to the spark-filled adventure! Success as the Commercial Electrical Estimator/Project Manager means accurately estimating costs for commercial electrical installations and efficiently managing projects from inception to completion.
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Hands on experience in Data Pipeline and integration tools like Talend, Change Data Capture (CDC), Spark & Azure APIs. Hands on full stack proficiency (e.g., Java, SQL, React, JavaScript etc.) Hands on experience in Data Pipeline and integration tools like Talend, Change Data Capture (CDC), Spark & Azure APIs.
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Experience working with Apache Spark and Databricks environments. Experience working with Apache Spark and Databricks environments. Implement best practices for infrastructure as code (IaC) using tools like Azure Resource Manager templates, Terraform, or Bicep.
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Spark/Hadoop/Flink), experience in resource management and task scheduling for large scale distributed systems. Familiar with open source distributed scheduling/orchestration/storage frameworks, such as Kubernetes (K8S), Yarn (Flink, MapReduce), Mesos, Celery, HDFS, Redis, S3, etc., with rich practical experience in machine learning system development.
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We develop predictive models, monitoring dashboards, and reporting using tools such as AWS, Snowflake, Python, R, and Spark. Leverage a broad stack of technologies — Python, Conda, AWS, H2O, Spark, SQL and more — to reveal the insights hidden within huge volumes of numeric and textual data.
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Must have experience with data analysis programming languages (e.g., SQL, Python & Apache Spark, SAS & R) Learn and demonstrate mastery across a wide variety of data engineering activities, including data warehousing, master data management, data cataloging, system integration, data streaming, data visualization, data analysis, and data ops.
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Be familiar with distributed computing tools such as EMR, Kafka and Spark. Some experience working with Spring Boot or Scala. Be familiar with distributed computing tools such as EMR, Kafka and Spark.
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As a SONIC Drive-In Crew Member which may include Frozen, Fountain, Expo or Switchboard - you will spark moments of delightful possibility for our customers. Working at SONIC, you ll spark moments of delightful possibility.
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