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4+ Experience with technologies Apache Mesos, Marathon, or Apache Spark. 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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The Senior IT Data Engineer is a hands-on position using a modern data engineering stack deployed within the Microsoft Azure cloud. Demonstrated experience deploying data solutions using a modern data engineering stack composed of data lake, dimensional data warehouse and Apache Spark-based compute platform, preferred.
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In this role, you will help architect and implement our ML strategy and data processing pipelines using Redshift, Apache Airflow, Apache Spark, and AWS SageMaker. Proven experience with Redshift, Apache Airflow, Apache Spark, and AWS SageMaker.
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AWS (Redshift, Aurora, Glue), Google (BigQuery), MongoDB, Cassandra, Snowflake, Teradata, Oracle Exadata, IBM Netezza, SAP (HANA, BW), Apache Hadoop & Spark, MapR, Cloudera/Hortonworks, etc.
$85,300 - $161,700 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Expertise in programming languages such as Python or Java, and experience in data processing frameworks (e.g., Apache Spark, Kafka). Strong proficiency in data pipeline and ETL design, with hands-on experience in tools like Apache Airflow, Apache NiFi, or similar.
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AWS cloud services: EC2, EMR, RDS, Redshift (or Azure equivalents) Data streaming systems: Storm, Spark-Streaming, etc. Familiarity with DataOps concepts and automation tools like terraform, Apache Airflow, Cloudbees, Cloudformation templates and git actions.
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Familiarity with cloud and computing technologies like Hadoop, Apache Spark, AWS, Microsoft Azure, or Google Cloud. Functional knowledge of data visualization libraries like matplotlib or ggplot2, as well as other tools such as Microsoft Power BI, Quick Sight, or Tableau.
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Experience using workflow runners including Github Action Runners, Jenkins Agents, Apache Airflow Workers, and Apache Spark. System Design and Architecture: Assist in the design and architect cloud infrastructure solutions using Apache Spark for distributed data processing and analytics.
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At least 4 years of experience with Cloud Native technologies (Amazon Web Services, Microsoft Azure, Google Cloud Platform) As a DevOps Engineer, you’ll have the opportunity to be on the forefront of driving a major transformation within Capital One.
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You will be in a customer-facing role, working with and supporting Solution Architects, that requires hands-on production experience with Apache Spark™, and expertise in other data technologies and in public cloud - AWS, Azure, and GCP. SSAs help customers through the design and successful implementation of essential workloads while aligning their technical roadmap for expanding the usage of the Databricks Platform.
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Cutting-Edge Technology: Work with advanced open-source technologies such as Apache Spark, Flink, Kafka, Airflow, Delta Lake, and Iceberg. Our team leverages cutting-edge open-source technologies such as Apache Spark, Flink, Kafka, Airflow, Delta Lake, and Iceberg to build and maintain a scalable, high-quality data ingestion framework.
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Knowledge of various software applications (Adobe CS Suite, Autodesk Products, Bluebeam, Rhino, Sketchup, Jive, V-Ray, MS Teams, Argos, Azure, Microsoft 365 suite of products, PDQ Deploy, and Deltek Vision) is a plus.
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Bonus if those were open-sourced big data processing frameworks using technologies like Spark, Airflow, Kafka, Flink, Iceberg, Deltalake. In addition to base salary, the compensation package for this role also includes opportunities for equity grants.
$140,100 - $210,100 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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A bonus and/or long-term incentive units may be provided as part of the compensation package, in addition to the full range of medical, financial, and/or other benefits, dependent on the level and position offered.
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Big Data & Streaming: 2+ years using big data and/or streaming technologies (e.g. Apache Spark, Apache Kafka, Apache Flink) Design, develop and deliver scalable, robust and highly re-usable components using technologies such as Python, Java, AWS serverless (Lambda, Glue), Apache Spark, Apache Kafka and REST.
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microsoft azure incentive compensation apache spark jobs Title: senior full stack software engineer Company: Capital One in Anoka, Minnesota
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