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Role description: This role is a unique chance to workwithin Arcadis Intelligences Solution Architecting, Systems & Data group, providing services including Data Migration and Integration, Data Warehousing, Master Data Management, Big Data and Analytics, Software, API and Service development capabilities within our multi-discipline solutions delivery teams.
$142,140 a yearPart-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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It is changing the way Healthcare Marketing is done by leveraging latest cloud-native solutions, efficient big data pipelines, processes and technologies. We are looking for a driven and dynamic Senior Data Engineer who will have the responsibility to expand and maintain our data warehouse, develop scalable data products, and help orchestrate terabytes of data flowing through the Lasso platform.
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11 West 19th Street (22008), United States of America, New York, New YorkLead Data Engineer (Remote-Eligible)Do you love building and pioneering in the technology space? As a Capital One Lead Data Engineer, you.
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Develop data pipelines, architectures, and big data sets using Databricks, optimizing performance and scalability. VetsEZ is seeking a Cloud Data Integration Engineer to join our team and support the Data Migration and syndication (DMS) efforts within the Electronic Health Record Modernization Integration Office (EHRM-IO) for the Department of Veterans Affairs.
Full-timeRemoteExpandApply NowActive JobUpdated 13 days ago - UpvoteDownvoteShare Job
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Experience with big data technologies (Spark, Clickhouse, Redshift, Snowflake etc.) As a senior data engineer, you bring your previous industry experience in infrastructure scaling to Jerry and lead the development of a new infrastructure solution that will continue to perform with great stability and efficiency even when the company grows 10x bigger.
Full-timeExpandApply NowActive JobUpdated 30 days ago - UpvoteDownvoteShare Job
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Presto, Hive, SparkSQL, Cassandra, or Solr, and other Big Data query and transformation experiences a plus. AWS Databricks Cloud Data Engineer (Sr) 100% Remote. Seven or more years of experience as an AWS Data Engineer or Architect in designing and building large-scale solutions in an enterprise setting in both development and deployment.
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Presto, Hive, SparkSQL, Cassandra, or Solr other Big Data query and transformation experience a plus. Expertise in Cloud Data Warehouses in Redshift, BigQuery or analogous architectures a plus.
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We have Contract for Big data/ ETL Engineer f or our client Philadelphia, PA. Please let me know if you or any of your friends would be interested in this position. Big data/ ETL Engineer- Philadelphia, PA.
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Hands-on experience with big data technologies (e.g., Hadoop, Spark) and cloud platforms, preferably Azure. The Data Engineer will develop and manage all layers of the data stack, including ingestion, transportation/collection, processing, storage, querying, reporting, and monitoring.
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Big Data Engineer. Experience with extracting or loading data between RDBMS and Big Data. Design, develop, and support database applications for data systems, support Linux shell scripts and Python for batch processing.
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Skills: cloud,sql,big data,big data technologies,aws,hadoop,data warehousing,cloud platforms,scala,etl processes,cross-functional collaboration,python,spark,database design,data modeling,java,etl,data pipelines.
$65 an hourExpandApply NowActive JobUpdated 7 days ago - UpvoteDownvoteShare Job
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Expertise in cloud-based and data technologies i.e., Snowflake, Databricks, Redshift, big Query, Airflow, DBT, Looker, Tableau, Sigma. Keywords:Phoenix AZ Jobs, Senior Data Engineer, Snowflake, Databricks, Redshift, Airflow, DBT, Looker, Tableau, Sigma, SQL, Python, Scala, Business Intelligence, BI, Data Science, Quantitative, Terraform, K8s, Arizona Recruiters, Information Technology Jobs, IT Jobs, Arizona Recruiting.
Work from homeExpandApply NowActive JobUpdated 6 days ago - UpvoteDownvoteShare Job
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Big Data Technologies: Utilize big data technologies and frameworks, such as Apache Spark, Hadoop, or Kafka, to process and analyze large-scale data sets. Technical Skills: Strong proficiency in data engineering technologies and tools, including database systems, ETL frameworks, big data platforms, and cloud services.
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