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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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Experience with BI/Visualization tools Knowledge of version control systems such as Git. Experience utilizing Agile methodology Knowledge of ITIL processes Strong communication, project management and organizational skills Basic understanding of Operating systems, networking concepts and application architecture patterns Ability to code with scripting languages such as Python, Bash, groovy etc., Knowledge of big data toolset: Hadoop, Spark, Kafka, Hive, sqoop etc.
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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.
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Softrams is a Maryland and Virginia-based small business information technology, consulting, and solutions provider specializing in emerging technologies for UX/UI, mobile apps, DevOps, big data analytics, data science, and cyber security.
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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 19 days ago - UpvoteDownvoteShare Job
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While not a requirement any knowledge/experience with technologies such as Linux Operating System functionality/development, Artificial Intelligence/Deep Learning/Machine Learning, SaaS, Cloud storage infrastructure (or technologies), Video Surveillance, Big Data Analytics, Splunk are highly desired.
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Substantial experience operating big data infrastructure in a cloud-based ecosystem (Databricks preferred). Collaborate with the Data Engineer team to develop and implement the data processing pipeline to ensure high-quality input for model training and inference.
$305,300 a yearFull-timeExpandApply NowActive JobUpdated 1 month ago - UpvoteDownvoteShare Job
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The big data engineer should be able to develop prototypes and proof of concepts for the selected solutions. A data solution engineer generally works on implementing complex big data projects with a focus on collecting, parsing, managing, analyzing, and visualizing large sets of data to turn information into insights using multiple platforms.
$158,000Full-timeExpandApply NowActive JobUpdated 2 months ago - UpvoteDownvoteShare Job
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Scala Spark, Python, Big Data, Kafka, AWS, Oracle SQL, Hive SQL, Databricks, and Jenkins. Proven experience in designing and developing scalable data frameworks using Python, Java, Spark, and Scala.
Full-timeExpandApply NowActive JobUpdated 25 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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Insightful experience with big data technologies like Hadoop, real-time processing frameworks (e.g., Apache Spark), and advanced knowledge of SQL and data architecture. For example, reconciliation using Big Data technologies, growing and optimizing customer payments options, tax calculations in milli-second response times and a mesh of supplier payment options like virtual credit cards.
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Knowledge of big data toolset: Hadoop, Spark, Kafka, Hive, sqoop etc. The Lead Analytics Engineer will directly manage and lead a small team of analytics engineers who build and support the data analytics platform.
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We are looking for candidates from junior to senior level with interests, experience and willingness to learn around Big Data technologies, such as distributed event-stores (Kafka) and parallel computing frameworks (Spark.
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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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We are looking for a skilled Data Engineer with experience in Big Data and Oracle Cloud to join our dynamic team. 3+ years of experience working with Big data technologies: Spark / Spark SQL, Python, Hortonworks / Cloudera platform or similar.
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big data jobs Title: engineer in Philadelphia, Gilford, New Hampshire
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