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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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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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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 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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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 experience implementing Tag Based Access controls with Lake Formation, Databricks, Unity catalog and federation. Hands-on experience within AWS, especially with EMR, Glue, Step Functions, Lambdas, API gateway, EKS/ECS.
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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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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. Hands-on architecture/development of ETL pipelines using our internal framework written in Java.
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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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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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7 + years of work experience in data engineering, data science, software engineering or relevant other hands-on-keyboard experience. Overview As a Data Engineer you will help develop and deploy technical solutions to solve our customers' hardest problems, using various platforms to integrate data, transform insights, and build first-class applications for operational decisions.
$75,600 - $172,000 a yearFull-timeExpandApply NowActive JobUpdated Yesterday - UpvoteDownvoteShare Job
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Hands-on experience with data pipeline tools (Airflow, Prefect, etc. Hands-on experience implementing ETL (or ELT) best practices at scale. 6+ years hands-on experience deploying production quality code.
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hands on jobs Title: senior data engineer in Lahaina, Hawaii
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