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Familiar with data integration techniques, ETL frameworks (e.g., Apache Spark), and workflow management tools (e.g., Airflow). Experience with data engineering tools and frameworks such as Apache Airflow, Apache NiFi, Talend, etc.
$60 - $74 an hourFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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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.
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Experience with big data and streaming technologies like Apache Kafka, Apache Spark, and Data Lakehouse. Our team uses a modern tech stack including Kafka, Spark, Java/ Scala/ Python, Kubernetes, Docker, ArgoWF and Data Lakehouse.
$150,000 - $215,000 a yearFull-timeExpandApply NowActive JobUpdated Yesterday - UpvoteDownvoteShare Job
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Our transportation client is looking for a Big Data Engineer - Spark/Databricks to join their team. Must have hands-on experience with high-velocity high-volume stream processing: Apache Kafka and Spark Streaming.
$65 - $70 an hourExpandApply NowActive JobUpdated Yesterday - UpvoteDownvoteShare Job
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Strong programming skills in languages such as Python, Java, or Scala, and experience with data processing frameworks like Apache Spark or Apache Flink. As our founding Data Engineer, you’ll have the opportunity to shape our data strategy and architecture.
$165,000 - $185,000 a yearExpandApply NowActive JobUpdated Yesterday - UpvoteDownvoteShare Job
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Familiarity with additional transformation platforms like Apache Spark and Beam. Familiarity with ETL orchestration tools like Apache Airflow and Google Dataflow. Day to day you’ll be building governed datasets to feed analytical reports and data science models, optimizing and creating new ETL pipelines, or building data models in Looker.
$152,500 - $205,500Full-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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O Programming Language: Python, R, SQL, Java, Scala, Pyspark/Apache Spark, Shell scripting. Use programming languages including but not limited to Python, R, SQL, Java, Scala, Pyspark/Apache Spark, Shell scripting.
$105,100 - $156,500 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Experience working with big data technologies (e.g., Hadoop, Spark, and Hive) as well as ETL tools (e.g., Apache Nifi, Talend, Apache Airflow) and real-time data processing technologies such as Apache Kafka are essential.
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Proficiency with data processing frameworks (e.g., Apache Spark, Apache Beam). As a Data Engineer, you will be responsible for developing and maintaining scalable data pipelines, ensuring efficient data collection, processing, and storage.
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Must have proven experience in Apache Spark. The FreeWheel Data Processing and Data Warehouse team is responsible for creating and managing the frameworks for large scale ETL using modern frameworks such as DBT and Spark.
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Strong Technical Background: Proficiency in programming languages commonly used in data engineering, such as Python, Java, Scala, or SQL. Experience with data processing frameworks and tools like Apache Spark (including Databricks), and Hadoop and knowledge of database technologies like SQL databases (e.g., MySQL, PostgreSQL.
$150Full-timeExpandApply NowActive JobUpdated Yesterday - UpvoteDownvoteShare Job
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Commercial data warehouse/ ETL tools such as, Talend, Informatica, Apache Airflow, etc. Spark, the Spark ecosystem, and related tools like Databricks and Azure Synapse Notebooks.
$110,000 - $140,000 a yearFull-timeRemoteExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Experience with some of the following: Kubernetes, Docker, Helm Charts, Hadoop, Cloudera, Hortonworks, Apache Storm, Apache Spark, HBase, YARN, map-reduce, big-data analytics, semantic-web (RDF, OWL), Hive, Elastic Search, MS SQL Server Big Data, and graph-databases.
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Mathematica is seeking a Data Platform Engineer to join the Health Unit’s Health Solutions Insights (HSI) team. Microsoft Azure, particularly Azure Synapse Analytics, Azure Data Factory and/or Azure Data Pipeline.
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Hands-on experience and strong technical knowledge with DataBricks, particularly focusing on Apache Spark fundamentals, including Spark Architecture, its API's, and how to leverage it for data processing and analysis.
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apache spark jobs Title: data engineer in Parkville, Maryland
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