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Skills: DB2, Informatica, Jenkins, Snowflake, Openshift, Apache Spark, AWS, PostgreSQL, Git, Node.js, PySpark, SQL, Amazon Kinesis, Java, Python, Shell Scripting, Cucumber, EKS, MongoDB, Angular, Docker, Atlassian Suite, SAS.
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Advanced knowledge of cloud computing technologies such as: Apache Spark, Azure Data Factory, Azure DevOps, Azure ML (Machine Learning), Hadoop, Microsoft Azure, Databricks, AWS, Google Cloud. Leverage a broad set of modern technologies including Python, R, and Spark to analyze and gain insights within large data sets.
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Proven expertise in designing and developing microservices using C#, gRPC, Python, Django, Kafka, and Apache Spark, with a deep understanding of both API and event-driven architectures. Proven expertise in designing and developing microservices using C#, gRPC, Python, Django, Kafka, and Apache Spark, with a deep understanding of both API and event-driven architectures.
$260,000 a yearFull-timeRemoteExpandUpdated 5 days ago - UpvoteDownvoteShare Job
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Skills: Azure Data Factory, Azure Data Lake Storage, Azure Synapse Analytics, Azure SQL Database, Apache Spark, Hadoop, Databricks, and Azure HDInsight. Design and manage complex data pipelines and workflows for ingestion, transformation, and loading using Azure Data Factory, Apache Spark, and Databricks.
Full-timeRemoteExpandApply NowActive JobUpdated 6 days ago - UpvoteDownvoteShare Job
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Your expertise in ETL, Databricks, Python, Spark, Scala, JavaScript/JSON, SQL, and Jupyter Notebooks will be essential in ensuring efficient data processing and analysis. High level of proficiency in ETL processes and demonstrated, hands-on experience with technologies such as Databricks, Python, Spark, Scala, JavaScript/JSON, SQL, and Jupyter Notebooks.
Full-timeExpandApply NowActive JobUpdated 8 days ago - UpvoteDownvoteShare Job
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Experience in data engineering or integration roles with a focus on Python, Spark, and Databricks. Design and architect data integration solutions to connect various data sources and systems using Python, Spark, and Databricks.
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The ideal candidate will be highly proficient in pipeline engineering, data engineering, and software engineering, with expertise in Python, SQL, Pyspark, Java, and SPARK. A strong understanding of root cause analysis and experience working in an Agile environment is also required.
$180,000 a yearFull-timeExpandUpdated 4 days ago - UpvoteDownvoteShare Job
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Design, develop, and implement end-to-end data pipelines, utilizing ETL processes and technologies such as Databricks, Python, Spark, Scala, JavaScript/JSON, SQL, and Jupyter Notebooks. Knowledge of Qlik/Qlik Sense, QVD/QlikView, and Qlik Production Application Standards (QPAS) is a significant plus.
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We make a commitment to you, too - helping you to find that spark, ignite your passion to serve, and embark on a career with meaning and purpose. Personal Training certification (ACE, ACSM, NASM, NSCA), Strength and Conditioning certification (CSCS), or other related fitness certification.
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Knowledge of data technologies such as SQL, Apache Hadoop, Spark, Airflow etc. With clients in the US and abroad, we hold key contract vehicles including GSA IT Schedule 70, NIH CIO-SP3, GSA Alliant, and DHS-Eagle II.Join us in driving growth and seizing new business opportunities.
Full-timeExpandUpdated 9 days ago - UpvoteDownvoteShare Job
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Databricks, Spark, PyTorch, Tensorflow, Python, Scala, CoreNLP, and Transformer foundational models. Responsible for utilizing big data technologies (e.g., Apache Hive, Apache Pig, Apache Spark, MapReduce, Hadoop, and MongoDB) and knowledge of data science models to analyze large amounts of data and create valuable insights for supporting the mission.
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Highly proficient in Adobe InDesign, Adobe Photoshop, Adobe Illustrator, PowerPoint, Excel, Outlook, Canva and Adobe Spark and any other design program or relevant apps. Experience with motion graphics and video editing and illustration skillset are a plus.
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This architecture includes an Databricks, Microsoft Azure platform tools (including Data Lake, Synapse), Apache platform tools (including Hadoop, Hive, Impala, Spark, Sedona, Airflow) and data pipeline/ETL development tools (including Streamsets, Apache NiFi, Azure Data Factory.
Full-timeExpandApply NowActive JobUpdated 6 days ago - UpvoteDownvoteShare Job
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Leverage a broad stack of technologies — Python, Conda, Flask, Dash, Hugging Face, LangChain, AWS, H2O, Spark, and more — to reveal the insights hidden within huge volumes of numeric and textual data.
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Conduct Pull Request (PR) reviews for both Scala/Spark applications and Python APIs to ensure adherence to best practices and coding standards. Perform unit and integration testing for Scala/Spark applications to maintain code quality and reliability.
$105,000 a yearFull-timeExpandApply NowActive JobUpdated Today
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