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Hands-on experience with Azure cloud computing infrastructure (Azure Databricks, Azure Data Factory, Spark) The Data Engineer is part of a team focused on data streaming, data analytics, and data science platforms.
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Hands on development with Amazon Web Services (AWS) services commonly used by our team including RDS, Lambda, S3, API Gateway, and SageMaker. Previous experience working or collaborating on Data Analytics or Data Science projects or initiatives.
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Hands-on programming experience in Apache Spark using Java/Scala and Spark Streaming. Job Title: Java | Data Engineer. GCP Data Experience Big Query, Looker, Data Flow, Data Fusion, Cloud Big Table, Cloud SQL, Cloud Dataproc.
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Java - 4, Big data Architect - 3, Spark - 4, ETL - 4 , Apache Beam/DataF. Google Cloud Platform Data Experience Big Query, Looker, Data Flow, Data Fusion, Cloud Big Table, Cloud SQL, Cloud Dataproc.
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Required Skills Big Data Engineer with 3-4 years of hands-on Spark/Scala and Hive experience. This person should have hands-on coding skills with Spark and Scala and also have experience with Big Data querying tools such as Hive.
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Hands on experience working on data management tools like Collibra, Alation, Atlan, Orion, Manta, etc. 6+ years of hands on experience in working on various backend systems like REST API's, graphQL, event based architectures, Spring boot, vertex, spring webflux, Rules engines like drool, RDBMS databases like Postgres, mySQL, NoSQL databases like elastic search, singlestore, couchbase, hbase, etc.
$110,000 - $190,000 a yearFull-timeExpandApply NowActive JobUpdated 1 month ago - UpvoteDownvoteShare Job
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Hands-on experience with GCP services, including BigQuery, BigTable, Cloud Composer, Dataflow, Google Cloud Storage, and Identity and Access Management (IAM) Job title: Data Engineer/Data Architect.
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7+ years of hands-on experience designing and implementing data engineering solutions using Azure cloud offerings including Data Factory, Azure Synapse, ADLS, and Azure Functions and Logic Apps.
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A Data Engineer Internship at University of Phoenix provides an opportunity for enthusiastic students to supplement their formal education with hands-on experience in an area related to their field of study.
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Hands-on experience with AWS services, including but not limited to EC2, S3, Lambda, RDS, and others. The ideal candidate should have a strong background in software development, hands-on experience with AWS services, and a passion for building scalable, secure, and reliable applications in the cloud.
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Set up monitoring solutions to track application performance on AWS. Design and implement scalable, reliable, and secure architectures for applications on AWS. Write, test, and deploy code for applications running on AWS.
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Hands-on experience solutioning and implementing analytical capabilities using the Azure Data Analytics platform including, Azure Data Factory, Azure Logic Apps, Azure Functions, Azure Storage, Azure SQL Data Warehouse/Synapse, Azure Data Lake.
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2+ years hands on experience on GCP Cloud data implementation projects (Dataflow, DataProc, Cloud Composer, Big Query, Cloud Storage, GKE, Airflow, etc. 6+ years of experience in Data Engineering with an emphasis on Data Warehousing and Data Analytics.
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A minimum of 2 years hands on experience on GCP Cloud data implementation projects Dataflow, DataProc, Cloud Composer, Big Query, Cloud Storage, GKE, Airflow, etc. A minimum of 8 years of experience in Data Engineering with an emphasis on Data Warehousing and Data Analytics.
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Cloud Platform Expertise: Hands-on experience with Google Cloud Platform (GCP) services, including but not limited to BigQuery, BigTable, Cloud Composer, Dataflow, Google Cloud Storage, and Identity and Access Management (IAM.
Full-timeExpandApply NowActive JobUpdated 2 months ago
hands on jobs Title: data engineer in Phoenix, Parkville, Maryland
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