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Big Data & Streaming: 2+ years using big data and/or streaming technologies (e.g. Apache Spark, Apache Kafka, Apache Flink) Design, develop and deliver scalable, robust and highly re-usable components using technologies such as Python, Java, AWS serverless (Lambda, Glue), Apache Spark, Apache Kafka and REST.
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Proven experience in data engineering, with expertise in Apache Spark, Kafka, SQL, and NoSQL. Build and maintain scalable data pipelines using technologies such as Apache Spark, Kafka, SQL, and NoSQL databases.
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Design and develop scalable data pipelines using tools like Apache Spark and Kafka. Job Title: Senior Data Engineer (Remote - California) As a Senior Data Engineer , you will design and implement data pipelines, manage ETL processes, and ensure the integrity of our data architecture.
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Analyzes data using data mining, machine learning, and statistical algorithms available in COTS tools (e.g. SAS, SPSS, and Oracle); builds analytical solutions using programming languages (e.g. R, Python, SAS), and programming libraries (e.g. Python SciKit, R Caret, PostgreSQL MADlib, Apache Spark MLlib.
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5-7 years of experience as a Data engineer with extensive working experience using Pyspark, Advanced SQL, Snowflake, complex understanding of SQL and Skills, Spark, Snowflake and Glue.
$75 an hourExpandApply NowActive JobUpdated 3 days ago - UpvoteDownvoteShare Job
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Work with SQL, Python, and Apache Spark to perform iterative analysis and integrate into data ETL/pipelines. Experience with big data using Spark (PySpark, Scala) and knowledge of Spark Internals.
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Cloud: Experience building with and deploying to cloud platforms such as AWS and leveraging serverless architectures (e.g. Lambda, Glue) Big Data & Streaming: 2+ years using big data and/or streaming technologies (e.g. Apache Spark, Apache Kafka, Apache Flink.
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Improve self-service large-scale data processing pipelines using Apache Spark. Experience working with Apache Spark, bonus for experience with Apache Druid or Iceberg.
$253,000 a yearFull-timeExpandApply NowActive JobUpdated 6 days ago - UpvoteDownvoteShare Job
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We focus largely on building user tools and applications for other teams to use, most of these are built on top of Yarn utilizing Apache Spark as well as other cutting edge technologies.
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Data analytics and insight environments (Apache Hadoop, Spark, Hive, SQL Server, SAP Bus, WH) Skills in data visualization (Tableau, Power BI, or similar) and script program languages (SQL, Python/Scala, R, JAVA, C.
$115,000 a yearFull-timeExpandApply NowActive JobUpdated 1 month ago - UpvoteDownvoteShare Job
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Exposure to open-source and Big Data (HDFS, Hive, MR, Apache Spark etc.) Some experience in NoSQL technologies such as MongoDB Exposure to Hadoop and other MPP technologies e.g. (Hadoop, YARN, MapReduce, Spark, Hive, HBase, SparkSQL, Kafka, SQOOP.
$120,000 a yearFull-timeExpandApply NowActive JobUpdated 1 month ago - UpvoteDownvoteShare Job
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Minimum 2 years of experience with large-scale data processing platforms such as Spark, EMR, and/or HPC computing experience with e.g. Apache Aurora, Slurm. The Lead Data Engineer works with the Data, Analytics and BI Transformation team.
$179,960 a yearFull-timeExpandApply NowActive JobUpdated 2 months ago - UpvoteDownvoteShare Job
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Nice to have: experience in healthcare analytics; experience in Apache Spark. Experience with Java and Apache Spark. Title - Sr. Software Engineer - Data Science.
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