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Proficiency in DevOps and automation technologies, such as Jenkins, Docker, Terraform, Ansible, Apache Air Flow. Familiarity with big data tools like Cassandra, Hadoop, Plotly, Storm, BigQuery.
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Understanding of Google Cloud Platform (GCP) technologies in the big data and data warehousing space (BigQuery, Cloud Functions, etc. Jav SQL Python Google Data Center Data Warehouse Google Plx Data Studio Looker Tableau Google Cloud Platform (GCP) Google plx dashboards GoogleSQL BigQuery SQL scripting.
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Big Data Expertise : 3+ years of hands-on experience with major Big Data technologies and frameworks, including Spark, Hive, ZooKeeper, HDFS, Presto, Hadoop, MapReduce, Tensorflow, and more.
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Growing the game of golf while incorporating the beauty of the Ozarks into every shot, Big Cedar Lodge offers NATURE'S FINEST™ courses designed by some of the top names in golf: Tiger Woods, Jack Nicklaus, Arnold Palmer, Tom Watson, Gary Player, Tom Fazio, Bill Coore, Ben Crenshaw, as well as Jackson/Kahn. Golf at Big Cedar is truly an experience you will never forget.
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Experience with BigQuery, Postgres is a big plus Portfolio showcasing previous data visualization and design work is highly desirable. What we're looking for 3+ Years of experience (preferably 5+) Experience with Looker, Tableau or Power-BI Experience with SQL and Python scripting Experience with BigQuery, Data warehouse / Datalake a plus Foremost global leader in retail loss prevention, operations management, and analytics, with our headquarters based in Foothill Ranch, California.
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Self-driven, challenge-loving, detail oriented, teamwork spirit, excellent communication skills, ability to multitask and manage expectationsNice to have:Experience in any of: machine learning, analytics, data mining, or data mart and warehouseExperience with Deep Learning platforms (Tensorflow/Keras/Spark MLlib) and SQL/Unix/ShellExperience with machine learning algorithms, NLP, and/or statistical methods a big plusYahoo is proud to be an equal opportunity workplace.
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Big data technologies to include Data Ingest (JSON, Kafka, Microservices, Elastic Search), Analytics (HIVE, SPARK, R, PIG, OOZIE workflows), Elasticsearch, Hadoop (HIVE data, OOZIE, Spark, PIG, IMPALA, HUE), COTS Integration (Knowi, MongoDB, Oracle, MySQL RDS, Elastic, Logstash, Kibana, Zookeeper, Consul, HADOOP/HDFS), Docker and Chef.
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Experience with big data technologies (e.g., Databricks, Snowflake) and data visualization tools (e.g., Qlik Sense, D3. Heavy concentration in mathematics, including statistics and programming, business intelligence/analytics, as well as data science tools and research using large data sets.
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Experience working in following technologies: Cloud analytics technologies (GCP preferred) - Big Query, Dataflow, Data form, pub/sub, Kafka, Cloud run, cloud functions, Dataplex , GCS, Cloud SQL, Dataproc, Airflow, Compute Engine, Cloud functions and App engine.
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Experience working with big data distributed programming languages, and ecosystems such as Spark, Hadoop, MapReduce, Pig, Kafka. Experience with common data science tools such as Python, R, PyTorch, TensorFlow, Keras, NLTK, Spacy, or Neo4j, and a good understanding of modeling platforms such as Azure AutoML, SageMaker, DataBricks, DataRobot, and H2O.ai.
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Our Content Engineering team is seeking a highly hardworking Data Engineer with a strong technical background and passionate about diving deeper into Big Data to develop state of the art Data Solutions.
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Strong proficiency in building and optimizing big data pipelines using Databricks Delta and Apache Spark. How many years do you have working with Big Data? Proven experience as a Solution Architect or Data Engineer, with a focus on Databricks.
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Experience with cloud computing platforms (, AWS, Azure, GCP) and cloud native computingProficiency in programming languages like Python, Java, Scala, C#, SQLExpertise in big data technologies such as Hadoop, Spark, Kafka, and NoSQL databasesKnowledge of data modeling, ETL processes, and data warehousing conceptsExceptional problem-solving abilities and teamwork skills.
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Proficiency in Databricks for distributed data processing, analytics, and machine learning on big data. Proven experience as a Data Engineer with a strong emphasis on data virtualization, SQL programming, DevOps practices, Python, and Databricks.
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Data Modeling: Requires knowledge of cloud data strategy, data warehouse, data lake, and enterprise big data platforms; Data modeling techniques and tools (For example, Dimensional design and scalability), Entity Relationship diagrams, Erwin, etc; Query languages SQL / NoSQL; Data flows through the different systems; Tools supporting automated data loads; Artificial Intelligent - enabled metadata management tools and techniques.
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big data jobs Title: hadoop Company: Kpmg
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