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Experience with more than one data cataloguing, data governance, data quality, data privacy and master data management (Informatica, Ataccama, Collibra, Alation, Global Ids, Big Id, etc.
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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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Director of Media, Video & Audio plays a vital role in our mission by ensuring our investments in Big Screen Video (TV and CTV), Audio (Radio, Podcast and Streaming), Print (Direct Mail and Inserts) and OOH (Out of Home) drive measurable and sustainable long-term growth for The Farmer's Dog by effectively introducing us and building connection with novel audiences.
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Stores and processes large data sets using big data and Cloud technologies Hadoop, Snowflake, and Amazon Web Services (AWS). DE performing data analysis, profiling, mining, extraction, and cleansing of large data warehouses using DB2, Snowflake, AWS, Hadoop, SQL Server, and Oracle; and generating visual insights for business and end users by creating data models and right data structures using Qlik Sense and Tableau.
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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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Ability to design cloud and on premise data solutions and provide guidance across storage, big data platform services, Big Data ecosystem, vendor SaaS integrations, RDBMS and NoSQL databases is a plus.
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Enable streaming data use-cases and standard design patterns in a big data environment. Qualifications and Skills IT professional experience in Azure Cloud with over 5+ years of Azure Development Ability to recreate existing legacy application logic and functionality into Azure Databricks/Data Lake, SQL Database and SQL Datawarehouse environment.
$115,000 - $205,000Full-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Micro-batch streaming and continuous streaming process in Databricks for high latency, low latency and ultra-low latency of data accordingly by using inbuilt Apache spark modules. Strong hands-on expertise in building Data engineering solutions using Java, Apache Spark and Scala.
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Strong working knowledge of data mining algorithms including AI and ML techniques such as regression, decision trees, probability networks, association rules, clustering, deep learning, neural networks, Bayesian models, etc.
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Experience with big data analytics, preferably in cloud technologies such as Snowflake, AWS, GCP, and Azure. 2+ years of experience in developing analytics solutions in a cloud environment using modern data science tools such as AWS, Azure, or GCP.
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Hadoop Admin Ops / SRE role supporting NextGen Platforms built around Big Data Technologies (Hadoop, Spark, Kafka, Impala, Hbase, Docker-Container, Ansible and many more). Requires experience in cluster management of vendor based Hadoop and Data Science (AI/ML) products like Cloudera, DataRobot, C3, Panopticon, Talend, Trifacta, Selerity, ELK, KPMG Ignite etc.
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Prior experience with Radiology Information Systems, PACS, Data processing and digital data transfer process. Registered X-Ray Technologist by American Registry of Radiologic Technologists (ARRT.
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Understanding big data ecosystems, relational, NOSQL and graph databases, unstructured and semi-structured data. As a Lead, Machine Learning Engineer, you will partner with Data Scientists, Data Engineers, Data Analysts and other professionals to implement machine learning models that will deliver stability, producibility, scalability and integration with other products and services.
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Experience developing data models in Snowflake that are used for scalable Tableau dashboards and include user entitlements a big plus. Collaborate with different teams in EDM (Data Cloud, Architecture, Data Governance Tech, Data Science) and support strategic initiatives such as data governance, data-as-a-service, and self-service analytics.
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Expertise with CI/CD processes and contributes to a sustainable and robust codebaseExperience with batch jobs/data pipelines and is comfortable deploying through these systems (i.e. Airflow, Luigi, Composer)Build and interact with production systems for serving machine learning predictions.
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big data jobs Title: developer Company: Verizon in Newark, NJ
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