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5+ years of experience developing scalable ETL and ELT workflows using Apache Spark, Apache Airflow, or Apache Flink. 5+ years of experience with Distributed data and computing tools, including Spark, Databricks, Hadoop, Hive, AWS EMR, or Kafka.
$220,000 a yearPart-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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You will be working with all levels of technology from backend data processing technologies (Databricks/Apache Spark) to other Cloud computing technologies / Azure Data Platform. Significant hands-on experience designing and implementing reusable frameworks using Apache Spark (PySpark preferred or Java/Scala.
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Stay current with emerging trends and technologies in big data and cloud computing, particularly related to Databricks and Apache Spark. Experience with Apache Spark and related technologies.
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2 years experience in: Database testing (DBT), Postgres, Redshift database, SQL, Apache Airflow DAG, Apache Spark, Scala code language, Python code language, Amazon Web Services (AWS), Jenkins (CI/CD), Git and GitHub for version control and management, Alembic database migration tool.
$143,706 a yearFull-timeRemoteExpandUpdated Today - UpvoteDownvoteShare Job
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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.
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Knowledge of Apache Spark, Azure Data Factory, Azure DevOps, Azure ML (Machine Learning), Hadoop, Hive (Apache), Informatica, Microsoft Azure, Microsoft Databricks, Microsoft Power BI, Microsoft SharePoint, Microsoft SQL Server, MS Office Products Operation Data Integration (OLTP) and Python.
$159,675 a yearExpandUpdated Today - UpvoteDownvoteShare Job
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Big Data Technologies:Distributed Computing: Tools like Apache Spark, Hadoop. Big Data Storage: Technologies such as HDFS, Apache Cassandra, or cloud storage solutions. Stream Processing: Tools like Apache Kafka, Apache Flink, or AWS Kinesis.
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Desired Skills: Experience with Apache Spark, Apache Streaming, and Jupyter Hub+ Event Reporter to introduce ML and pattern recognition to discover hidden insights. Familiarity with big data technologies, (e.g., Elastic Search, Apache Hadoop, Spark, Kafka, etc.
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Will maintain, move, and manipulate data between applications, using appropriate software/code: Apache Spark, ElasticSearch, R, Python, Kibana and others as technology evolves. IT-Strat has supported multiple clients including the Department of Homeland Security (DHS), Customs and Border Protection (CBP) and Immigration and Customs Enforcement (ICE via both prime and meaningful subcontracts.
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Develop, program, and maintain applications using the Apache Spark open-source framework. Work with different aspects of the Spark ecosystem, including Spark SQL, DataFrames, Datasets, and streaming.
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Table, Polars, Apache Arrow, Apache Spark) Data driven web application prototyping (e.g. R Shiny, Dash, Bokeh, Flask, Tableau, React) The candidate will work with large (billion record) data sets containing categorical, temporal, and geospatial features to develop and execute models, using statistical analysis/programming languages, to support design and performance trades and model new capabilities to deliver predictions, assessments, and recommendations to enhance NSG architectures in hybrid (cloud and datacenter) environments.
$106,000 a yearFull-timeExpandUpdated Today - UpvoteDownvoteShare Job
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Desired Technologies and Tools Microsoft Azure AWS Google Cloud Apache/Spark Elastic R Power BI SAS Snowflake Teradata Additional Details The base range for this contract position is $40 - $80/per hour, depending on experience.
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Spark Developer must have strong programming skills in Java, Scala, or Python. Tech Lead (Spark and Python expertise) Should have experience on Java, Python and Spark. Proven experience as a Spark Developer or a related role.
$75 an hourFull-timeExpandUpdated Today - UpvoteDownvoteShare Job
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Experience with Databricks/Apache Spark structured streaming, and/or Kafka experience. Experience with Databricks/Apache Spark structured streaming, and/or Kafka experience. Develop ETL workflows/data pipelines to ingest data using AWS Data Migration Service (DMS), Scala, Kafka, Restful APIs, and other technologies as determined by the client from multiple transactional systems to the target (including ODS, data marts, and data lake) according to documented logic and source-to-target mappings.
$190,000 a yearFull-timeExpandUpdated Today - UpvoteDownvoteShare Job
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Center 3 (19075), United States of America, McLean, VirginiaSenior Data Engineer (Java, Spark, Apache Flink) 3+ years experience with Distributed data/computing tools (MapReduce, Hadoop, Hive, EMR, Kafka, Spark, Gurobi, or MySQL.
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