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Data science, machine learning, optimization models, PhD in Machine Learning, Computer Science, Information Technology, Operations Research, Statistics, Applied Mathematics, Econometrics, Successful completion of one or more assessments in Python, Spark, Scala, or R, Supervisory experience, Using open source frameworks (for example, scikit learn, tensorflow, torch.
$143,000 - $286,000 a yearFull-timeExpandApply NowActive JobUpdated 5 days ago - UpvoteDownvoteShare Job
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Work on a great technology stack including HTML5, Javascript, React, SQL, Java, Spring, Scala and more. Experience using JVM languages (Java, Scala, Kotlin. This role will be involved in end-to-end software solutions to create data experiences for baseball fans and to improve baseball operations.
$120,000 - $150,000ExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Experience in Azure cloud technologies like PySpark, Synapse, ADF, Databricks, Python, Scala and SQL. Experience in Azure cloud technologies like PySpark, Synapse, ADF, Databricks, Python, Scala and SQL.
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Python / Scala / Kafka / Spark. The candidate is expected to have experience with Jenkins, Ansible, Ansible Tower, OpenStack, Docker, Kafka, Hadoop Spark, automation, software engineering, Jira, Confluence, and Power BI reporting.
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Development languages/frameworks : Java/Scala, Apache Spark, Kafka, Vertica, JavaScript (React / Redux), MicroStrategy. Design, develop, and maintain high volume Java and Scala based data processing jobs using industry standard tools and frameworks in the Hadoop ecosystem, such as Spark, Kafka, Hive, Impala, Avro, Flume, Oozie, and Sqoop.
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Covering Big Data, Streaming, and Data Engineering related technologies such as spark, using scripting languages such as Python and using object-oriented languages such as Java/Scala/C. or functional programming languages such as Scala in DevOps/CICD, using technologies such as docker/ kubernetes.
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Strong Java or Scala skills. Experience with Snowflake, Redshift or Vertica. We transform the way the world buys, sells, owns and uses cars, accelerating the industry with global powerhouse brands like Autotrader, Kelley Blue Book, Manheim and more.
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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. 3+ years of experience in application development including Python, SQL, Scala, or Java.
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1+ years of experience with a public cloud (AWS, Microsoft Azure, Google Cloud) This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI.
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2+ years experience with Distributed data/computing tools (MapReduce, Hadoop, Hive, EMR, Kafka, Spark, or MySQL) 1+ years of data warehousing experience (Snowflake or DeltaLake) Work with a team of developers with deep experience in machine learning, distributed microservices, and full stack systems.
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New York City (Hybrid On-Site): $138,500 - $158,100 for Data Engineer. As a Capital One Data Engineer, you’ll have the opportunity to be on the forefront of driving a major transformation within Capital One.
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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. 2+ years of experience with UNIX/Linux including basic commands and shell scripting.
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1+ years of experience with NoSQL implementation (Mongo, Cassandra) Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC.
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Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level. 1+ years experience working on real-time data and streaming applications. All qualified applicants will receive consideration for employment without regard to sex (including pregnancy, childbirth or related medical conditions), race, color, age, national origin, religion, disability, genetic information, marital status, sexual orientation, gender identity, gender reassignment, citizenship, immigration status, protected veteran status, or any other basis prohibited under applicable federal, state or local law.
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Hands-on experience using Databricks or Apache Spark (i.e., PySpark, SparkR, or Scala) and understanding best practices. Hands-on experience with multiple programming languages - Python, SQL, Scala, R, Golang, C#, JavaScript, C/C.
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5 Common Interview Mistakes
Everyone's interview process is unique in some form or fashion. Like most, your interview process is crafted so you can get the most information out of your candidates to increase hiring confidence and make the right hiring decisions. However, there are often small problems in interview processes that could ultimately affect the success of hiring decisions.
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Job Rejection Email Response with Examples
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The goal of an interview is to evaluate candidates based on their skills, personality, and knowledge. You want to choose the BEST candidate from your candidate pool, so the interview is something you can't mess up. As you begin planning your interview process, one of the major decisions you'll face is whether the interview should be a structured vs unstructured interview. So let's take a dive into the differences and sort out which circumstances warrant which interview process.
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To ATS or not to ATS
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