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Experience in Big 4/public accounting performing audits and related services for a diverse client base, and at least 7-8+ years of transaction services / due diligence experience. Opportunity + rewards to make a big impact.
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Experience in Cloud and Big Data platforms such as AWS, Databricks, Snowflake, Hive, Pig, Apache Spark, etc. Experience in Cloud and Big Data platforms such as AWS, Databricks, Snowflake, Hive, Pig, Apache Spark, etc.
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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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I worked extensively on POCs, Consulting Solutions, ETL Framework Architecture, Big Data technologies, Talend Master Data management, Performance optimization, ETL techniques, pilot projects, SQL Views etc.
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Optimize Databricks jobs for performance and scalability to handle big data workloads. Azure Synapse/Bigquery/Redshift is good to have. 5+ years with Data Warehouse Architecture, hands-on experience with Databricks platform.
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Extensive experience in using Talend features such as Data processing optimization, implementation of Big Data solutions using Talend-Bigdata Implementation of parallelization using Talend, extracting data from multiple parallel databases like Hive, MySQL, Oracle etc.
$70 an hourExpandApply NowActive JobUpdated 12 days ago - UpvoteDownvoteShare Job
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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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Harness the potential of big data technologies like Apache Presto, Apache Pinot, Flink, and Airflow. Harness the potential of big data technologies like Apache Presto, Apache Pinot, Flink, and Airflow.
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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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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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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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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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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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R & D Tax Credit IT Manager - Business Tax Services - Federal Tax Advisory EDGE STEM (Open Location)
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As an EY IT Manager, you will engage in discussions on the development of discuss new innovative software applications including areas such as software architecture design, Artificial Intelligence (AI) and Machine Learning (ML), cybersecurity, Blockchain and Distributed Systems, telecommunication, cloud computing and virtualization, data science and big data, and other high-tech fields with a host of industry leaders.
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big job Title: manager Company: Aerotek in Newark, NJ
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