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Hands on experience in MapR, Cloudera, Hortonworks and/or cloud (AWS EMR, Azure HDInsights, Qubole etc.) Must have experience with: Informatica Data Management Cloud (IDMC) or PowerCenter, or axon, or IDQ (Informatica Data Quality.
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5+ years of professional experience in Cloud DevOps concepts, Cloud Services and Architecture, and DevOps Operational Framework in Azure, AWS or GCP. Under limited supervision, analyzes large, complex datasets in Cloud Computing frameworks to further develop marketing optimization.
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Experience with cloud platforms (e.g., AWS, Azure, Google Cloud) and their data services. They are seeking a highly skilled and experienced Senior Data Engineer/Architect to join their dynamic team.
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Using AWS/GCP (i.e., Airflow, Luigi, Prefect, Dagster, digdag.io, Google Cloud Composer, AWS Step Functions, Azure Data Factory, UC4, Control-M) Experience with cloud service providers: Microsoft Azure, Amazon AWS.
$150,000 - $190,000 a yearFull-timeRemoteExpandApply NowActive JobUpdated 1 month ago - UpvoteDownvoteShare Job
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Experience with Cloud Services (AWS, Google Cloud, Microsoft Azure, etc). For Data Engineer (II) Fluent in SQL in big data warehouse systems such as Snowflake, BigQuery, Databricks, etc.
$120,000 - $162,500 a yearFull-timeExpandApply NowActive JobUpdated 1 month ago - UpvoteDownvoteShare Job
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Experience in crafting database / data warehouse solutions in cloud (Preferably AWS. Alternatively Azure, GCP). + AWS cloud services: EC2, EMR, RDS, Redshift.
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Experience with a public cloud, including AWS, Microsoft Azure, or Google Cloud. Experience with distributed data and computing tools, including Spark, Databricks, Hadoop, Hive, AWS EMR, or Kafka.
$60,400 - $137,000 a yearPart-timeExpandApply NowActive JobUpdated 1 month ago - UpvoteDownvoteShare Job
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3+ years cloud experience: Azure, AWS, or GCP. The Data Engineer will work hands-on with challenging data engineering, data management, and analytics projects.
$135,000 - $145,000 a yearFull-timeExpandApply NowActive JobUpdated 1 month ago - UpvoteDownvoteShare Job
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Cloud certification (GCP, Azure, AWS) In partnership with other business, platform, technology, and analytic teams across the enterprise, design, build and maintain well-engineered data solutions in a variety of environments, including traditional data warehouses, Big Data solutions, and cloud-oriented platforms.
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At least 1 year experience with cloud computing (AWS, Microsoft Azure, Google Cloud) 4+ years of experience with a public cloud (AWS, Microsoft Azure, Google Cloud.
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Keywords; Python, Azure, Data Factory, SSRS, SSIS, SQL Server, SQL, Scala, CICD, CI-CD, DevOps, Mapping, Scientist. Piper Companies is looking for a Data Engineer to join an elite environmental industrial engineering firm in Washington, DC, to cluster large datasets across various container and data platforms.
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Cloud – AWS, Azure, OCI. Data tools – Kafka, NiFi, Apache Airflow, Cribl, Confluent, Liquibase, etc. The ideal candidate has experience in multiple data platforms, common DevSecOps tools, and application programming languages.
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Experience in using Data migration using cloud-native tools like AWS DMS or Azure DMS. Data Engineer with good knowledge of Snowflake cloud platform, architecture.
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Use Continuous Integration/Continuous Delivery (CI/CD) concepts to engineer a standardized data environment. 6 years of experience in data engineering. Recommend and advise on optimal data models for data ingestion, integration, and visualization.
$135,000 a yearExpandApply NowActive JobUpdated 1 month ago - UpvoteDownvoteShare Job
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Net, C#, Qlik, Power BI, Machine Learning, Azure Data Factory, RedShift, UiPath, Cloud, RPA, AWS, Redshift, Kinesis, QuickSight, SageMaker, S3, Databricks, AWS Lake Formation, Snowflake, Python, Qlik, Athena, Data Pipeline, Glue, Star Schema, Data Modeling, SQL, SSIS, SSAS, SSRS, PySpark, Microsoft Fabric, dbt, Linux, Terraform, Bicep, Data Ops, Purview, Git, Delta, Pandas, Spark SQL.
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azure aws cloud jobs Title: data engineer in Mclean, VA
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