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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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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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Familiarity with big data technologies such as Spark, Snowflake, Databricks, or EMR.Experience on a platform team, building tools for other engineers. You will be embedded on the Orchestration team that runs workflow scheduling applications and data ingestion infrastructure that helps power the analytics, operations, and data science behind our flagship streaming applications - Disney+, Hulu, ESPN+, and Star.
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Big Data certifications (e.g., Cloudera Certified Professional (CCP): Data Engineer, Databricks Certified Professional Data Scientist). Deep knowledge of Big Data technologies such as Spark and Cloud ETL tools like Databricks, with a focus on scalability and real-time processing capabilities.
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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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Experience in developing Data Warehouse/Data Marts using, as examples, OBIEE, OBI APPS, Cognos, Business Objects, SPSS, SSIS, SSRS, Informatica Power Center, OWB and ODI. · Experience on design and development of Data Warehouse Architecture for Enterprise Data Warehouse (EDW), Operational data Store (ODS), Operational Data Marts and Data Marts.
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Strong interpersonal skills and ability to work independently and as part of a team Understanding of data confidentiality principles Bilingual speaking abilities are a plus (Spanish, French, Ukrainian, Russian, Pashto, Dari, or Farsi)IRC leading the way From Harm to Home.
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Experience with digital data from ad serving platforms (e.g. Google Campaign Manager, Other adservers), campaign planning tools (e.g. Prisma, Lumina, MediaOcean), website analytics software (e.g. Adobe Analytics, Google Analytics), paid search engine marketing data sources (e.g. Adwords, Marin.
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Bonus Points:Experience with big data tools e.g. Snowflake, Apache Spark, Flink, Athena etcExperience in the Securities Finance domain. You have hands-on experience with ETL toolchains e.g. Argo, Apache AirflowYou are a data modeling pro; you understand how to create unified definitions of types from different source data representations.
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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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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.
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This position is responsible for overseeing the design, development, and maintenance of our data infrastructure and analytics solutions and will collaborate with cross-functional teams to drive the strategic use of data across our organization.
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8+ years of experience building solutions in big data technologies. Strongly prefer experience building Data Lake & Data warehouse solutions using ETL,ELT pipelines on Databricks, Snowflake, Azure Data Lake 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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Familiarity with Snowflake, Monte Carlo, RDS, DynamoDB, Kafka, Fivetran, dbt, Airflow, Docker, Kubernetes, EMR, Sagemaker, DataDog, PagerDuty, Atlan, Data Observability tools and Data Governance tools.
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big data jobs Title: functional consultant Company: Dice in New York, NY
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