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Architect and develop large-scale, distributed data processing pipelines using technologies like Apache Spark, Apache Beam, and Apache Airflow for orchestration. Proven expertise in Apache Spark, Apache Beam, and Airflow, with a deep understanding of distributed computing and data processing frameworks.
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Experience with high speed distributed computing frameworks such as AWS EMR, Hadoop, HDFS, S3, MapReduce, Apache Spark, Apache Hive, Kafka Streams, Apache Flink etc. Experience with high speed distributed computing frameworks such as AWS EMR, Hadoop, HDFS, S3, MapReduce, Apache Spark, Apache Hive, Kafka Streams, Apache Flink etc.
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Proven experience building enterprise-grade software in a cloud-native environment (GCP or AWS) using cloud services such as GCS/S3, Dataflow/Glue, Data proc/EMR, Cloud Function/Lambda, Big Query/Athena, Big Table/Dynamo.
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Strong proficiency in Java Stack programming with expertise in the Spring Boot framework, Apache / Tomcat, Apache Maven, Apache Spark, API Concepts and Methodologies, API Security, Camunda, Cloud Automation, Cloud Computing, Cybersecurity, Data Engineering, Database Design (Physical), DevOps, Java and Related Technology, JavaScript, Linux.
$118,800 - $178,200 a yearFull-timeExpandApply NowActive JobUpdated 3 days ago - UpvoteDownvoteShare Job
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Programming Language: Python, R, SQL, Java, Scala, Pyspark/Apache Spark, Shell scripting. Use programming languages including but not limited to Python, R, SQL, Java, Scala, Pyspark/Apache Spark, Shell scripting.
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Required Skills: Platform Engineering: Proficiency in Python, Scala, or SQL. Expertise in Apache Spark, Hadoop, or Apache Kafka. Enable Databricks Unity Catalog (UC) for lineage and governance.
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4+ Experience with technologies Apache Mesos, Marathon, or Apache Spark. Utilize programming languages like Java, Python, SQL, Ruby and Go, Container Orchestration services including Docker and Kubernetes, CM tools including Ansible and Terraform, and a variety of AWS tools and services.
$201,400 a yearExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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4+ experience with coding and scripting (Python, SQL, Java, JavaScript, Golang, Bash, Perl or Ruby) 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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At least 3 years of experience in Cloud Native technologies (Amazon Web Services, Microsoft Azure, Google Cloud Platform) At least 6 years of experience in DevOps Engineering (Internship experience does not apply.
$2 - $11Full-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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2+ Experience with distributed database systems (Cassandra, ElasticSearch) Lead a portfolio of diverse technology projects and a team of developers with deep experience in machine learning, distributed microservices, and full stack systems to create solutions that help meet regulatory needs for the company.
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As a DevOps Engineer, you’ll have the opportunity to be on the forefront of driving a major transformation within Capital One. 4+ Experience using build and deployment tools (Jenkins, Docker) At Capital One, you'll be part of a big group of makers, breakers, doers and disruptors, who love to solve real problems and meet real customer needs.
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Net Core)4+ years of combined experience with Kafka (Confluent Kafka, Apache Kafka, Amazon MSK)2+ years of combined experience data streaming, developing event-driven applications or/and event processing frameworks (Kafka Streams, Apache Flink, or ksqlDB)Must be able to obtain and maintain a Public Trust.
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Use of tools like Apache Airflow, ADF, or Databricks to orchestrate and schedule data workflows. Proficiency in Apache Spark, including Spark Core, Spark SQL and Spark Streaming. Use of tools like Apache Airflow, ADF, or Databricks to orchestrate and schedule data workflows.
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Experience in designing and implementing ETL processes using Databricks notebooks for efficient data extraction, transformation, and loading. In-depth knowledge of the Databricks Unified Analytics Platform and its features for collaborative big data analytics.
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Python, Apache Airflow, Apache Spark, PostgreSQL, Presto SQL, Snowflake SQL, Confluence, JIRA. Python, Apache Airflow, Apache Spark, PostgreSQL, Presto SQL, Snowflake SQL, Confluence, JIRA.
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