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3+ years of experience with big data frameworks (Amazon EMR, Apache Spark) At least 1 year experience with cloud computing (AWS, Microsoft Azure, Google Cloud) 3+ years of experience with big data frameworks (Amazon EMR, Apache Spark.
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If you're seeking to make an impact from the start of your career, spark impressive change, learn new or innovative skills and most importantly, gain success in a field that rewards ambitious hard workers, retail is for you.
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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.
ExpandApply NowActive JobUpdated 9 days ago - UpvoteDownvoteShare Job
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Proficient in project software: SAS/SQL, Databricks, Python, Spark languages/technologies Excel, Word, PowerPoint, Business Objects, and Outlook. Use SAS/SQL, Databricks, Python, Spark; other software as appropriate to task.
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Knowledge of big data technologies such as Apache Spark. Experience with Databricks for data engineering and analytics preferred. Knowledge of big data technologies such as Apache Spark. Familiarity with data visualization tools (e.g., Tableau, Power BI.
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Experience with big data processing frameworks, such as Apache Spark, Hadoop, or Apache Kafka on Azure. Experience with big data processing frameworks, such as Apache Spark, Hadoop, or Apache Kafka on Azure.
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Explore and build proof of concepts using open source NOSQL technologies such as HBase, DynamoDB, Cassandra and Distributed Stream Processing frameworks like Apache Spark, Kafka stream. Design and implement distributed data processing pipelines using Spark, Hive, Python, Airflow, and other tools and languages prevalent in the Hadoop ecosystem.
RemoteExpandApply NowActive JobUpdated 9 days ago
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