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Hands-on experience working with Databricks environment for data processing and analysis. Hands on experience working on data science frameworks such as TensorFlow, PyTorch, and Spark ML.
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Hands-on experience with data flow and pipeline frameworks such as Kafka, NiFi, Spark, Airflow, and Hadoop. Hands-on experience with one or more database technologies (e.g., PostgreSQL, Oracle, MySQL, SQL Server, DB2, MongoDB, Neo4j, Couchbase, Cassandra.
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5+ years of hands-on experience in data engineering/ETL using Databricks on AWS/Azure cloud infrastructure and functions. Hands on experience developing batch and streaming data pipelines.
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5+ years of hands-on experience in administering cloud technologies on AWS, especially with IAM, VPC, Lambda, EKS, EC2, S3, ECS, CloudFront, ALB, API Gateway, RDS, CodeBuild, SSM, Secret Manager, Lambda, API Gateway etc.
$112,000 - $160,000 a yearFull-timeExpandApply NowActive JobUpdated Yesterday - UpvoteDownvoteShare Job
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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.
$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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This is a hands-on position that requires strategic thinking and planning to provide expertise throughout the entire infrastructure and operational lifecycle, ensuring the success of the team's planning, building, operating, optimizing and automation efforts.
$112,000 - $160,000 a yearFull-timeExpandApply NowActive JobUpdated Yesterday - UpvoteDownvoteShare Job
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This position will provide hands-on expertise in support of SecOps including monitoring, reporting, threat intelligence, threat hunting and incident response. As part of a growing team this role will have the ability to leverage and work with new capabilities as they are deployed including deception infrastructure, continuous penetration testing, data loss prevention (DLP), and machine learning capabilities.
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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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We're looking for an experienced software test engineer to lead Validation & Verification (V&V) efforts at Plus by conducting hands-on testing of our autonomous driving stack. and Python, and identifying software failures caused by hardware sensors Experience with robotics, automotive or autonomous vehicles Programming skills for purposes of automated testing and data processing, i.e. scripting, python, C.
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Hands on RDBMS experience (data modeling, analysis, programming, stored procedures) Strong experience in AWS and Azure cloud services, with hands-on experience in integrating cloud storage and compute services with Databricks.
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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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Hands-on experience implementing Tag Based Access controls with Lake Formation, Databricks, Unity catalog and federation. 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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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 data jobs Title: senior engineer in Lahaina, Hawaii
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