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Will play a critical role supporting the entire Investments platform of BIG, working directly for the Chief Investment Officer as its “right hand person” through investment evaluation, pipeline organization, financial modeling, market research, etc.
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Familiarity with big data technologies such as Spark, Snowflake, Databricks, or EMR. Familiarity with big data technologies such as Spark, Snowflake, Databricks, or EMR. The products and platforms this group builds and operates delight millions of consumers every minute of every day – from Disney+ and Hulu, to ABC News and Entertainment, to ESPN and ESPN+, and much more.
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5+ years hands-on experience with the Big Data stack (HDFS, SPARK, MapReduce, Hadoop, Sqoop, Pig, Hive, Hbase, Flume, Kafka) A&I Data Service help to create data-driven organizations by providing the right solutions in Big Data technologies, Master Data Management, Business Intelligence Analytics by taking advantage of the Cloud based computing and storage.
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O Conceptual / working understanding of modern master data management, big data platforms, data streaming, analytics and reporting solutions (e.g., AWS Elastic Map Reduce (EMR. Preferred: "Big Four" IT audit experience.
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In HADOOP , you'll be given an introduction to BIG DATA, APACHE HADOOP, HADOOP ECOSYSTEM, CLOUDERA QUICKSTART VM along with core concepts of the Hadoop framework including MapReduce, HIVE, PIG, SQOOP, FLUME, HBASE, OOZIE.
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Active Google Cloud Data Engineer Certification Hands on in designing, building and operationalizing large-scale enterprise data solutions and applications using one or more of GCP data and analytics services in combination with 3rd parties - Python, Pyspark, Spark, Hive, Cloud DataProc, Cloud Dataflow, Apache Beam/ composer, Big Table, Cloud BigQuery, Cloud PubSub, Cloud storage Cloud Functions & Github.
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Track record of thought leadership and innovation around Big Data. Solid understanding of Cloud Computing Technologies and related emerging technology (e.g. Amazon Web Services EC2, Elastic MapReduce, Azure, GCP) and considerations for scalable, distributed systems Knowledge of NoSQL platforms (e.g. key-value stores, graph databases, RDF triple stores.
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6+ years of experience in data engineering working with big data systems that can process and transform data at scale. Experience developing with data SaaS and BI tooling (Fivetran, Looker, dbt, Databricks, Apache Airflow, etc.
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Experience with at least one major Massively Parallel Processing (MPP) or cloud database technology (Snowflake, Redshift, Big Query) Tech stack includes Airflow, Spark, Databricks, Delta Lake, Snowflake, Scala, Python.
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Your expertise in Java, Python, Spark cluster management, data science, big data, REST API development, and knowledge of Databricks and Delta Lake will be essential in driving the success of our data initiatives.
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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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Experience with at least one storage technology (e.g., Oracle/Postgres,MongoDB, Google Cloud Storage/Big Query) and knowledge of container runtime environments (Docker, Kubernetes) and implementing applications onto Public Cloud (AWS/Azure/Google Cloud Platform.
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We are looking for a passionate Software Engineer, Big-Data Engineer, Machine-Learning Engineer, Full-stack Engineer, or UI/UX Engineer, who can contribute and make a difference in any of the different components of our Knowledge Graph Platform.
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Experience with Snowflake/BigQuery, Google Dataproc/Databricks or any big data frameworks on Spark. Experience with Snowflake/BigQuery, Google Dataproc/Databricks or any big data frameworks on Spark.
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Central New Jersey is a family friendly location offering urban and suburban life-styles within one hour of NYC, Philadelphia and the Jersey shore, as well as Rutgers Big Ten athletics and cultural events.
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big job Title: hadoop Company: Dice in New York, NY
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