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Proficiency in big data technologies (e.g., Hadoop, Spark, Kafka, Cloudera). Proficiency in big data technologies (e.g., Hadoop, Spark, Kafka, Cloudera). Five or more years experience in designing and implementing big data solutions, with a comprehensive understanding of both cloud (AWS, Google Cloud Platform, Azure) and on-premise environments.
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Design, develop, test, and deploy scalable and reliable data pipelines using technologies like Spark, Kafka, Hadoop, and other big data technologies. Experience in developing and working with big data technologies, such as Spark, Kafka, Hadoop, Hive, etc.
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Do you have prior experience in building data platform / data lake and analytics SaaS services in public cloud with expertise in modern Big Data stack (Kafka, Hadoop, Spark, Flink, Hive. Prior experience of building data platforms using Big Data stack (Kafka, Hadoop, Spark, Flink, Hive.
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Exposure to building large-scale real-time streaming pipelines using Kafka, Flink, or Spark. We use technologies such as Flink, Kafka, Debezium, Elasticache etc. Expert-level understanding of object-oriented programming languages such as Java, Kotlin, Scala, etc.
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Proficiency and experience in applied statistical and machine learning fields e.g. Recommendations, Search, Fraud & Anomaly Detection, Experimentation and Causal Analysis Firm grasp of visualization tools for monitoring and logging e.g. DataDog, Grafana Familiarity with cloud computing platforms and managed services such as AWS Sagemaker, Lambda, Kinesis, S3, EC2, EKS/ECS, Kafka, Flink/Spark.
$153,000 - $235,000 a yearFull-timeExpandApply NowActive JobUpdated 6 days ago - UpvoteDownvoteShare Job
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Must have 6 months of experience in any two of the following next gen tools and technologies: Hadoop, HIVE, Impala, Apache Drill, Pentaho, Paxata, Databricks, Tamr, Datastax, Datameer, Splunk, Sumologic, Mapreduce, Python, Scala, R, Spark, Kafka, Dremio, AWS, Azure Platform, Google Cloud Platform, Cloudera, Hortonworks, Oozie, NoSQL, HBase, Elasticsearch, Cassandra, Flink, Flume, Snowflake, Redshift, EMR, Neo4j.
Full-timeExpandApply NowActive JobUpdated 7 days ago - UpvoteDownvoteShare Job
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Bonus points if you have Hands-on experience with Kafka, Flink, Spark, or PulsarExperience designing systems that integrate 3rd party code and componentsExperience with Kafka and streaming data processing Fostering a diverse, welcoming and inclusive environment is important to us.
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2+ years experience with Distributed data/computing tools (MapReduce, Hadoop, Hive, EMR, Kafka, Spark, or MySQL) 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.
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We are looking for a big data developer who is passionate about working with large scale systems using cutting-edge technologies and tools to help identify and disrupt malicious threats on the Internet.
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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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3+ years of experience in application development including Python, SQL, Scala, or Java. 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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Development languages/frameworks : Java/Scala, Apache Spark, Kafka, Vertica, JavaScript (React / Redux), MicroStrategy. Design, develop, and maintain high volume Java or 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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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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Experience with other technologies used including Docker, AWS, NIFI, Jenkins, Hibernate, Oracle and PostgreSQL Database along with Redshift and Dynamo DB. Experience with Apache Spark and Kafka is a big plus.
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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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