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Your expertise in ETL, Databricks, Python, Spark, Scala, JavaScript/JSON, SQL, and Jupyter Notebooks will be essential in ensuring efficient data processing and analysis. High level of proficiency in ETL processes and demonstrated, hands-on experience with technologies such as Databricks, Python, Spark, Scala, JavaScript/JSON, SQL, and Jupyter Notebooks.
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Software Engineering & DevOps:Version Control: Familiarity with tools like Git. Continuous Integration/Continuous Deployment: Knowledge of pipelines and tools like Jenkins, Travis CI.Containerization: Familiarity with Docker, Kubernetes, etc., for scalable deployment of data science applications.
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Utilize programming languages like Java, Python, SQL, Node, Go, and Scala, Open Source RDBMS and NoSQL databases, Container Orchestration services including Docker and Kubernetes, and a variety of AWS tools and services.
$201,400 a yearFull-timeExpandApply NowActive JobUpdated Yesterday - UpvoteDownvoteShare Job
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Utilize programming languages like Java, Python, SQL, Node, Go, and Scala, Open Source RDBMS and NoSQL databases, Container Orchestration services including Docker and Kubernetes, Application Architecture like microservices, API, and realtime streaming, ETL and Data Engineering technologies like PySpark, Glue, Snowflake, and a variety of AWS tools and services.
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Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked.
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We are a full-stack shop consisting of product and portfolio leadership, data engineering, infrastructure and DevOps, data / metadata / knowledge platforms, and AI/ML and analysis platforms, all geared toward:Building a next-generation data experience for GSK’s scientists, engineers, and decision-makers, increasing productivity, and reducing time spent on “data mechanics.
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Experience with Scala, AWS, NoSql, Statistics, big data, Apache Spark. Developer- Bioinformatics, Java/Scala, JavaScript, Data Engineering. We are looking for full-time skilled and self-motivated developers for Bioinformatics Integration Department.
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Experience with Google Cloud Platform, Kubernetes, Docker, CircleCI, Git, Golang, Java. You write idiomatic JavaScript/Node.js; Golang, Java, Python, Scala, or Ruby is helpful. At any given time, 16 million Americans are experiencing a crisis that requires urgent help from our legal system or government.
$115,000 - $180,000 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Utilize programming languages like Scala, Java, Python, SQL and GO and NoSQL databases and Cloud based data warehousing services such as Redshift and Snowflake. You will be working with Scala, Morphir IR, Go, Python, AWS (Fargate, EMR, Glue, S3), Cassandra, DynamoDB, Snowflake etc., and will have great opportunities to learn and contribute to the success of the platform.
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Live Better U is a Walmart-paid education benefit program for full-time and part-time associates in Walmart and Sam's Club facilities. Utilize Spring Boot and Play framework in Java or Scala to design and implement low-latency REST APIs with Azure SQL Server and Cassandra as storage systems, enabling brand advertisers and API partners to manage ad campaigns in a self-serve manner.
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The environment involves Batch Pipelines involving core technologies such as Scala, Python, Spark, EMR, Glue, Airflow, Step Functions, Delta, Uniform Catalog, Iceberg, DynamoDB amongst many others.
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Utilize programming languages like Java, Scala, Python and Open Source RDBMS and NoSQL databases and Cloud based data warehousing services such as Redshift and Snowflake. 9+ years of experience in application development including Python, SQL, Scala, or Java.
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At Capital One, you'll be part of a big group of makers, breakers, doers and disruptors, who solve real problems and meet real customer needs. 4+ year experience working on real-time data and streaming applications.
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At least 1 year experience with cloud computing (AWS, Microsoft Azure, Google Cloud) 4+ years of data warehousing experience (Redshift or Snowflake) 4+ years of experience with a public cloud (AWS, Microsoft Azure, Google Cloud.
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5+ years experience with Distributed data/computing tools (MapReduce, Hadoop, Hive, EMR, Kafka, Spark, Gurobi, or MySQL) The team tackles problems of massive scale, with a critical data footprint that has bottomline business impact, resiliency & availability requiring the best techniques within Big Data Analytics and Machine Learning, all while providing a superior analyst experience on our tools.
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