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Hands-on production experience with data pipeline orchestration systems such as Airflow for creating and maintaining data pipelines. The Core Data & Services for the Data organization within the DEET organization is in search of a Senior Data Engineer.
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Hands-on experience with data flow and pipeline frameworks such as Kafka, NiFi, Spark, Airflow, and Hadoop. Department Summary: The Data Environments and Engineering Department (L146) in the Data and Human Centered Solutions Innovation Center is seeking highly motivated, adaptive, and enthusiastic candidates with a wide variety of interests and a foundation of skills in systems engineering, software engineering, information systems, or data engineering to join our department as a Senior Data Engineer.
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5+ years of hands-on experience in data engineering/ETL using Databricks on AWS/Azure cloud infrastructure and functions. As a Senior Systems Data Engineer, you will be part of the EBS Reporting Team under Qorvo’s IT Enterprise Business Applications organization.
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Hands on experience with Java, Spring Boot, Cloud ( Azure/GCP/AWS ), Kafka (or other messaging service), Memcached/Redis or any caching technologies, relational DBMS ( MySQL, Oracle etc ) Experience Data pipeline engineering HUDI / DELTA, Google HIVE, Elastic Search for data migration.
$90,000 - $234,000 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Proven experience as a Data Engineer with hands-on experience using Databricks and a focus on Azure technologies. Join our team as a Senior Data Engineer and play a pivotal role in designing, implementing, and managing cutting-edge data solutions on the Microsoft Azure cloud platform.
$120,000 - $140,000 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Hands-on experience with distributed systems such as Spark, Hadoop (HDFS, Hive, Presto, PySpark) to query and process data Experience with at least one major MPP (elastic map reduce) or cloud database technology (Snowflake, Redshift, Big Query) Experience with AWS Cloud technologies (S3 at a minimum) Solid experience with data integration toolsets (i.
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Extensive hands-on experience implementing data migration and data processing using Azure services: ADLS, Azure Data Factory, Azure Functions, Synapse/DW, Azure SQL DB, Event Hub, IOT Hub, Azure Stream Analytics, Azure Analysis Service, HDInsight, Databricks Azure Data Catalog, Cosmo Db, ML Studio, AI/ML, etc.
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Hands on RDBMS experience (data modeling, analysis, programming, stored procedures) Preferred: Databricks Certified Associate Developer for Apache Spark, AWS Certified Solutions Architect, Azure Data Engineer Associate, or other relevant certifications.
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As part of the Data Science and Analytics Team, the Sr. Data engineer will partner with Data Scientists, work hands-on with Big Data technologies and build scalable data pipelines/infrastructure to support development of health care propensity models.
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As a Senior Lead Data Engineer - Java/Python/AWS at JPMorgan Chase within the Consumer and Community Banking, Data Technology team, you are an integral part of an agile team that works to enhance, build, and deliver data collection, storage, access, and analytics in a secure, stable, and scalable way.
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Be a hands-on data engineer, building, scaling and optimizing ETL pipelines. 4+ years of hands-on experience to build and deploy production-quality data pipelines. 3+ years of hands-on experience using any MPP database system like Snowflake, AWS Redshift or Teradata.
$165,000 - $207,300 a yearFull-timeExpandApply NowActive JobUpdated Yesterday - UpvoteDownvoteShare Job
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Hands-on development experience with Snowflake features such as Snow SQL; Snow Pipe; Python; Tasks; Streams; Time travel; Zero Copy Cloning; Optimizer; Metadata Manager; data sharing; and stored procedures.
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Hands-on architecture of real time REST APIs or other solutions for streaming data from Graph using Spark. Job Title: Sr Data Engineer. Technical/Functional Skills Scala Spark, Python, Big Data, Kafka, AWS, Oracle SQL, Hive SQL, Databricks, and Jenkins.
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The Senior Data Engineer will play a crucial role in architecting, implementing, and managing robust, scalable data infrastructure. TITLE: Senior Data Engineer.
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Other desired qualifications would include but are not limited to; windows server exposure, application monitoring, scheduling tools user provisioning, great analytical skill for troubleshooting, ETL development standards, SQL, RDBMS, SaaS, PaaS, and Cloud solutions, support of system maintenance and upgrade procedures, and hands on experience with IDMC (Informatica’s Intelligent Data Management Cloud Offering.
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hands data jobs Title: senior data engineer in Lahaina, Hawaii
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