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  • ID
    #45844073
  • Job type
    Contract
  • Salary
    Depends on Experience
  • Source
    Prodapt North America
  • Date
    2022-09-19
  • Deadline
    2022-11-17
 
Contract

Vacancy expired!

Job Title : Google Cloud Platform Hadoop DeveloperLocation : Temple Terrace, FloridaInterview : Initially telephonic followed by video interviewJob Description :

  • Google Cloud Platform, Python, Apache Nifi, Apache Hadoop, Apache Spark, Unix Scripts, Apache Oozie, Kafka, Nifi, Sqoop, HDFS, Hive
  • Google Cloud Big Query & Big TableGoogle Data ProcGoogle Data FlowGoogle Cloud Storage
  • Writes complex SQL queries required to perform Data Acquisition and Ingestion required for Data pipelinesBuilds Data pipelines and does data engineering activities using technologies like Python, Hadoop, Spark etc.,Ensures the upkeep of the Hadoop Data Lake Platform by monitoring the Horton Works HDFSMonitors the Data Lake constantly and ensures that the appropriate support teams are engaged at the right timesWorks in an Agile/Scrum Environment, interacts with a scrum team as well as the Client StakeholdersUnderstands the client requirements from Agile scrum user stories and develops low level design required for the user storiesResult Oriented and able to match the pace of work demands of the Program through self-improvement
  • Perform data migration and conversion activities on different applications and platforms.Design, development and testing of data ingestion pipelines, perform end to end automation of ETL process for various datasets that are being ingested into the big data platform.Perform data profiling/analysis, discovery, analysis, suitability and coverage of data, and identify the various data types, formats, and data quality issues which exist within a given data source.
  • Develop transformation logic, interfaces and reports as needed to meet project requirements.Develop tools to measure the data quality and visualize the anomaly pattern in source and processed data.Contribute to data quality assurance standards and procedures.Deep understanding of business domain data and how it is used for metrics and analytical data designs Strong data design experience & knowledge that can be applied to big data architectures and cloud data lake environments(i.e Very strong data analysis & design experience on Teradata and/or big data platforms for curation and analytics use cases)Business Analyst mindset/aptitude to understand domain data requirements for design deliverables Experienced in creating source to target mapping design documentation for data engineeringPreferably certified as a

    Google Cloud Certified Data Engineer

Vacancy expired!

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