07 Feb
Google Cloud Platform Data Engineer
Illinois, Chicagoil 00000 Chicagoil USA

Vacancy expired!

Google Cloud Platform Data Engineer Chicago IL Long term Note :Client is looking for VISA independent candidates, they are not able to sponsor this time Top Skills:

  • As a Data engineer (successfully lead the delivery of projects including end-to-end requirements, data analysis, perform data engineering activities and work with the users for data validation.
  • 5+ years of experience in Datawarehouse or Data Analytics
  • 5+ years of Hands on experience in setting up Google Cloud Data Engineering
  • 5+ years of Strong Hands on experience in any programming (Python, Spark)
  • Professional Cloud Data Engineer Certification is a plus
Requisite Abilities and/or Skills
  • Perform requirement gathering with the business users and SME and build a plan
  • Perform ETL and data engineering work by leveraging multiple google cloud components using Cloud Dataflow, Cloud Data Proc, Google BigQuery
  • Knowledge on Data Modelling and reporting using Google Cloud BigQuery
  • Knowledge on building data pipelines leveraging Google Cloud Platform best methodologies
  • Strong understanding towards Kubernetes, docker containers and to deploy Google Cloud Platform services
  • Experience in writing code to extract, transform data from multiple data sources including
  • Experience in ETL tools like Informatica or any ETL tools
  • Experience in scheduling like Airflow, Cloud Composer etc.
  • Experience in CI/CD automation pipeline facilitating automated deployment and testing
  • Excellent verbal and written communication, problem solving and interpersonal skills.
  • Experience in data catalog and metadata management.
  • Experience with JIRA or any other Project Management Tools
  • Deliver end to end comprehensive documentation along with code samples
  • Experience in one or multiple scripting languages / Cloud solutions is a plus
Key Accountabilities and Priorities:
  • Build a and operationalize pipelines to include data acquisition, staging, integration of new data sources, cataloging, cleansing, batch and stream processing, transformation, and consumption
  • Independently work on assigned projects and foster a collaborative environment for a high-performing team
  • Gather Business requirements, Review business priorities, Analyze options & risks
  • Quickly Understand and formulate application level requirements pertaining to complex workflows, or integration with external applications

Vacancy expired!


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