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Minimum of 5 years’ experience with automated delivery pipelines, agile delivery, and test-driven development and real-time data processing (e.g., Kafka, Spark Streaming). Minimum of 5 years of hands-on skills in Python, Apache Spark, Hive, Cassandra, Snowflake, Elastic, Lucene, DataBricks, Hadoop, Redshift, Scala, Java, or other relevant technologies in data engineering.
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4+ years experience with Distributed data/computing tools (MapReduce, Hadoop, Hive, EMR, Kafka, Spark, Gurobi, or MySQL) At least 1 year experience with cloud computing (AWS, Microsoft Azure, Google Cloud.
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4+ years of data warehousing experience (Redshift or Snowflake) 4+ years of experience with a public cloud (AWS, Microsoft Azure, Google Cloud) 7+ years of experience in application development including Python, SQL, Scala, or Java.
$2 - $11Full-timeExpandApply NowActive JobUpdated 5 days ago - UpvoteDownvoteShare Job
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Familiarity with big data technologies (e.g., Hadoop, Spark, Kafka). Strong understanding of relational databases (e.g., Oracle, SQL Server, MySQL) and NoSQL databases (e.g., MongoDB, Cassandra), and data integration technologies (e.g., ETL tools, data virtualization, API integrations.
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Additional Technologies: Spark, Databricks, Kafka, Kinesis, Hadoop, Lambda, EMR. Database: SQL Server, PostgreSQL, Snowflake, Redshift, Aurora, Presto, BigQuery, Oracle. Popular Certifications: AWS Cloud Practitioner, Microsoft Azure Data Fundamentals, Google Associate Cloud Engineer.
Full-timeExpandApply NowActive JobUpdated 10 days ago - UpvoteDownvoteShare Job
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Background working with AWS products including Managed Streaming Kafka and Elastic Kubernetes Service. Build tooling, libraries, frameworks and guidance for effective and efficient creation and operation of Kafka based streaming services.
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As a Capital One Lead Data Engineer, you'll have the opportunity to be on the forefront of driving a major transformation within Capital One. 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.
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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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Python, tomcat, UI - react, Postgress DB, Cassandra, Oracle DB. Kafka, elastic search, Kibana / logslash , REST APIs based on Spring-boot microservices. Python, tomcat, UI - react, Postgress DB, Cassandra, Oracle DB. Kafka, elastic search, Kibana / logslash , REST APIs based on Spring-boot microservices.
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Kafka or other streaming experience. Fully remote, but must work EST hours with solid benefits and compensation plan. They are a 100% cloud environment so experience in either Amazon Web Services (AWS) or Google Cloud Platform (GCP) is required.
$165,000 - $175,000Full-timeExpandApply NowActive JobUpdated 5 days ago - UpvoteDownvoteShare Job
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About the WorkAs a key member of our Promotions team you will: Work with our preferred technology stack (Elixir, Phoenix, Phoenix LiveView, Kafka, gRPC, PostgreSQL)Design and build APIs and Kafka producers/consumers,Participate in and at times lead the design, architecture, and delivery of new features in a collaborative agile environment.
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AWS DevOps 8+ years with Kubernetes, Kafka, VPC, API Gateways, Amazon RDS & Jenkins skillset. AWS DevOps 8+ years with Kubernetes, Kafka, VPC, API Gateways, Amazon RDS & Jenkins skillset. Job Title: AWS DevOps Engineer.
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Experience with AWS as a cloud provider, Spark, Kafka, Hadoop, Elastic Stack, Java, Docker for containers, etc. Experience with AWS as a cloud provider, Spark, Kafka, Hadoop, Elastic Stack, Java, Docker for containers, etc.
$120,000 - $170,500 a yearFull-timeExpandApply NowActive JobUpdated 2 days ago - UpvoteDownvoteShare Job
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Knowledge of streaming data processing frameworks (e.g., Apache Flink, Apache Kafka Streams). Knowledge of data warehousing concepts and technologies (e.g., Redshift, BigQuery, Snowflake). Proficiency in programming languages such as Python, Java, or Scala for data engineering and software development.
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Familiarity with SQL, Kafka, Hadoop, ELK, Jupyter notebook, DevOps methodologies is advantageous. Understanding of scaling Spark and Airflow on Kubernetes is nice to have. Must have core skill sets or experience in deploying big data applications in a Cloud native environment, preferably leveraging Spark, Airflow, Database management and SQL.
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kafka job in Philadelphia, PA
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