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Help us build state of the art solutions that underpin GCRG using cutting edge technologies like Scala, Databricks, Java, Azure Data Lake, Apache Spark, Spring Boot, ReactJS, Kubernetes, Python, Postgres etc.
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Balancing the nimble spirit of a startup with the powerhouse soul of Publicis Media, Spark Foundry delivers the best of both worlds to a client roster that spans some of the worlds best and most beloved brands and companies.
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Apache Spark-> Cloudera - CCA Spark and Hadoop Developer (CCA175) Apache Spark-> Databricks Certified Developer: Apache Spark 2. Product SME for Confluent Kafka, Apache Spark, Talend.
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Experience with Oracle, Spark, Hadoop, Athena, API, FastAPI, Flask, ReST. Python, Spark, Hadoop, and Docker with an emphasis on good coding practices in a continuous integration context, model evaluation, and experimental design.
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2+ years experience with Distributed data/computing tools (MapReduce, Hadoop, Hive, EMR, Kafka, Spark, or MySQL) Utilize programming languages like Java, Scala, Python and Open Source RDBMS and NoSQL databases and Cloud based data warehousing services such as Redshift and Snowflake.
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In depth expertise with streaming data components Kafka, Spark, Flink Hadoop, Presto/Trino, RedisDemonstrated leadership, mentoring, and collaboration skills balancing strategic and tactical needs.
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Om de klus te klaren, maak je gebruik van technologieën zoals Java11, Spring boot, microservices, Cloud (AWS/Azure), Kubernetes, ElasticSearch, Kafka, Spark en Python. Lijkt het jou leuk om aan de slag te gaan met technologieën Cloud , Elasticsearch, Kafka, Spark en Kubernetes.
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Python, MWAA (Airflow), Spark Optimization, AWS Glue, AWS EC2, Apache Spark. · Develop test maintain and document data pipelines using DBT Spark AWS Glue and Airflow. The ideal candidate will contribute to our Asset & Wealth Management domain leveraging their expertise in Python Apache Spark and various AWS services to drive innovation and excellence.
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The team uses a variety of tools, technologies, and languages to build software like Delta Lake, Hadoop, Kinetica, Solr, Spark, Kafka, Python, Java, Ruby, Scala, Airflow, Luigi, EMR, Databricks, etc.
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IPaaS Integration Platform (Boomi), Databricks (Spark, Delta Lake, etc.) iPaaS Integration Platform (Boomi), Databricks (Spark, Delta Lake, etc.) Demonstrated experience with enterprise data integration technologies, ESB (WebMethods, Boomi, Oracle, IBM, Mulesoft, etc.
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Strong proficiency in programming languages such as Python, Java, or Scala, with expertise in data processing frameworks and libraries (e.g., Spark, Hadoop, SQL, etc.) Experience with cloud-based data platforms and services (e.g., AWS, Azure, Google Cloud) including familiarity with relevant tools and technologies (e.g., S3, Redshift, BigQuery, etc.
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Technologies - IaaS (AWS or Azure or GCP), Databricks platform, Delta Lake storage, Spark (PySpark, Spark SQL). Data Processing and API Integration: Utilize Spark Structured Streaming for real-time data processing and integrate data outputs with REST APIs.
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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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Design, build & deploy the data pipelines using EMR, EMR studio, Databricks, Spark, Pyspark and Shell Scripting. Must have 5+ years of experience in EMR, Databricks, Spark, pyspark programming, Jupyter notebook and shell scripting.
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Data Processing: Develop and implement data processing pipelines using Apache Beam, Apache Spark, or other suitable frameworks to transform and cleanse data for analysis. Automation and DevOps: Implement automation scripts and workflows using tools like Terraform, Deployment Manager, or Google Cloud Deployment Manager to automate provisioning and management of GCP resources.
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spark job in New York, NY
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