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Experience with big data technologies such as Apache Spark. Utilize Microsoft Azure services and tools to build and manage data solutions, including but not limited to Azure Data Factory, Azure SQL Database, Azure Databricks, and Azure Synapse Analytics.
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Experience in big data technologies, e.g. Hadoop, BigQuery, MapReduce, Apache Spark. Stationed in our global offices, AAG team members hold advanced degrees in computer science, engineering, AI, data science, physics, statistics, mathematics, and other quantitative disciplines, with backgrounds in a variety of fields including tech, data science, marketing analytics and academia.
$122,500 - $162,000 a yearFull-timeExpandApply NowActive JobUpdated 3 months ago - UpvoteDownvoteShare Job
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Experience with Big Data preferably Apache Spark. Experience with Apache Spark. Experience working with Azure, Databricks and Data Factory. Experience with Azure Databricks and Data Factory.
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Experience in traditional and modern Big Data technologies (HDFS, Hadoop, Hive, Pig, Sqoop, Kafka, Apache Spark, hBase, Oozie, No SQL databases) Experience in traditional and modern Big Data technologies (HDFS, Hadoop, Hive, Pig, Sqoop, Kafka, Apache Spark, hBase, Oozie, No SQL databases.
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Experience in data pipeline and workflow management tools (e.g., Apache Airflow, MLflow, Databrikcs, SageMaker). Proficiency with big data technologies (e.g., Hadoop, Spark), database frameworks (e.g., SQL, NoSQL), and cloud services (e.g., AWS, GCP.
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The team is looking for an experienced Principal Software Data Engineer who is experienced; with a strong foundation in data engineering technologies, including data processing frameworks (e.g., Apache Spark), databases (e.g., SQL and NoSQL databases), data warehousing, ETL (Extract, Transform, Load) processes, and data integration.
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AR flow for production support- apache airflow system (new learning for data engineers) Converting those jobs into cloud- AWS jobs and written in python/ scala and run on spark and emr. AR flow for production support- apache airflow system (new learning for data engineers.
ExpandApply NowActive JobUpdated 2 months ago - UpvoteDownvoteShare Job
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We use Apache Airflow, Python, and Apache Spark for ETL. For streaming data, we use Apache Kafka managed by a vendor and use Kafka Connect, Kafka Streams, and Spark Streaming for stream processing.
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More than 10,000 organizations worldwide — including Comcast, Condé Nast, Grammarly, and over 50% of the Fortune 500 — rely on the Databricks Data Intelligence Platform to unify and democratize data, analytics and AI. Databricks is headquartered in San Francisco, with offices around the globe and was founded by the original creators of Lakehouse, Apache Spark™, Delta Lake and MLflow.
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Knowledge of Apache Spark, KAFKA, HIVE, Hbase, Flink, Airflow. Knowledge of Apache Spark, KAFKA, HIVE, Hbase, Flink, Airflow. Knowledge of information security concepts and technologies, including cyber risk, third party risk, and security governance.
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Familiarity with modern ETL tools like Apache Beam, Kafka, Spark, or similar technologies. Experience with Scala and Spark or PySpark. Familiarity with modern ETL tools like Apache Beam, Kafka, Spark, or similar technologies.
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Develop and maintain data processing pipelines using tools like Apache Kafka, Apache NiFi, and Airflow. Publicis Sapient is looking for a highly skilled and experienced Senior Architect with expertise in Hadoop, Spark, and Big Data technologies to join our team of bright thinkers and doers.
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Experience with high-speed distributed computing frameworks like FLINK (preferred), Apache Spark, Kafka Streams,FLUME etc. Skills: Java 8+, Kafka Streaming/Java Streaming, (Flink, Flume, Spark) Message Brokers, Spring, Multi-Threading, Cloud, etc.
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Experience using Apache Spark (PySpark or Scala). Knowledge of, or experience with, healthcare data standards such as HL7, FHIR, ICD, SNOMED, LOINC. Experience with Delta Lake and/or Databricks.
$97,750 - $132,250 a yearFull-timeExpandUpdated 2 days ago - UpvoteDownvoteShare Job
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Knowledge of Palo Alto Nex-Gen firewall , MS PowerShell, and cloud solutions. Provide leadership to the team to drive continuous improvement and ensure all capabilities of existing technologies are deployed to enhance global cyber security Incident Response and threat management capabilities.
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