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Google Cloud Platform Architect

Salary undisclosed

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We need your immediate attention to work on the below requirement and share the resume asap.

Job Title: Google Cloud Platform Architect

Location : Remote

Independent Candidates Can Apply

JD Details:

  • Over 10+ yrs. hands-on experience in design and implementation of Data Warehousing & Data Integration solutions
  • Experience in building data solutions on Google Cloud Platform, especially built and created Data Warehouse specifically on Bigquery, Bigtable, Cloud spanner, Cloud SQL
  • Knowledge on Google Cloud Platform services like App engine, GCE, GKE, Cloud Run, Cloud Built, cloud function, Dataflow, Dataproc, Cloud storage, Apache Airflow/Cloud composer.
  • Experience in architecting and designing technical solutions based on industry standards using Google Cloud Platform - IaaS, PaaS and SaaS capabilities.
  • Knowledge on DataVault is essential.
  • Good at designing and deploying Big data technology-based data pipelines with technologies like Hadoop eco-system, Spark, Hive, Flink, Ray... etc
  • Has built atleast 1 data solutions framework in an Architect role.
  • Have designed and built atleast one DataLake while utilizing Datafabric architectural principles.
  • Strong experience with entire data quality life cycle
  • Working exposure to any of the scripting languages such as Perl, SHELL etc.,
  • Hands-on working experience in Python and PySpark
  • Good exposure to cloud based ETL / ELT & Data pipeline services.
  • Fair knowledge on NoSQL databases such as MongoDB, HBase, Cassandra etc.
Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.
Report this job
We need your immediate attention to work on the below requirement and share the resume asap.

Job Title: Google Cloud Platform Architect

Location : Remote

Independent Candidates Can Apply

JD Details:

  • Over 10+ yrs. hands-on experience in design and implementation of Data Warehousing & Data Integration solutions
  • Experience in building data solutions on Google Cloud Platform, especially built and created Data Warehouse specifically on Bigquery, Bigtable, Cloud spanner, Cloud SQL
  • Knowledge on Google Cloud Platform services like App engine, GCE, GKE, Cloud Run, Cloud Built, cloud function, Dataflow, Dataproc, Cloud storage, Apache Airflow/Cloud composer.
  • Experience in architecting and designing technical solutions based on industry standards using Google Cloud Platform - IaaS, PaaS and SaaS capabilities.
  • Knowledge on DataVault is essential.
  • Good at designing and deploying Big data technology-based data pipelines with technologies like Hadoop eco-system, Spark, Hive, Flink, Ray... etc
  • Has built atleast 1 data solutions framework in an Architect role.
  • Have designed and built atleast one DataLake while utilizing Datafabric architectural principles.
  • Strong experience with entire data quality life cycle
  • Working exposure to any of the scripting languages such as Perl, SHELL etc.,
  • Hands-on working experience in Python and PySpark
  • Good exposure to cloud based ETL / ELT & Data pipeline services.
  • Fair knowledge on NoSQL databases such as MongoDB, HBase, Cassandra etc.
Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.
Report this job