Google Cloud Platform Data Architect
Position:
Google Cloud Platform Data ArchitectLocation:
Phoenix, AZ (Day 1 Onsite)Duration:
12+monthsOnsite Locations:
Phoenix first, then NYC or Sunrise FLMandatory Skills:
Google Cloud Platform Data Architect with solid exp and certifications Extensive experience working with Google Cloud Platform Data-related Services such as Cloud Storage, Dataflow, Dataproc, BigQuery, Bigtable Very strong experience with Google Composer and Apache Airflow; ability to set up, monitor, and debug a complex environment running a large number of concurrent tasks Good Exposure to RDBMS / SQL fundamentals Exposure to Spark, Hive, Google Cloud Platform Data Fusion, Google Cloud Platform Astronomer, Pub/Sub Messaging, Vertex, and the Python Programming Language Minimum
Qualifications:
Bachelor degree in Engineering or Computer Science or equivalent OR Master in Computer Applications or equivalent.A solid experience and understanding of considerations for large scale architecting, solutioning and operationalization of data warehouses, data lakes and analytics platforms on Google Cloud Platform is a must.Create detailed target state technical, security, data and operational architecture and design blueprints incorporating modern data technologies and cloud data services demonstrating modernization value propositionMinimum of 12 years of designing, building and operationalizing large-scale enterprise data solutions and applications using one or more of Google Cloud Platform data and analytics services in combination with 3rd parties - Spark, Hive, Cloud DataProc, Cloud Dataflow, Apache Beam/ composer, Big Table, Cloud BigQuery, Cloud PubSub, Cloud storage Cloud Functions & GitHub performing detail assessments of current state data platforms and creating an appropriate transition path to Google Cloud Platform cloudA solid experience and understanding of considerations for large scale architecting, solutioning and operationalization of data warehouses, data lakes and analytics platforms on Google Cloud Platform is a must.Create detailed target state technical, security, data and operational architecture and design blueprints incorporating modern data technologies and cloud data services demonstrating modernization value proposition Minimum of 8 years of designing, building and operationalizing large-scale enterprise data solutions and applications using one or more of Google Cloud Platform data and analytics services in combination with 3rd parties - Spark, Hive, Cloud DataProc, Cloud Dataflow, Apache Beam/ composer, Big Table, Cloud BigQuery, Cloud PubSub, Cloud storage Cloud Functions & GitHub performing detail assessments of current state data platforms and creating an appropriate transition path to Google Cloud Platform cloudExperience with Data lake, data warehouse ETL build and design Experience with Google Cloud Services such as Streaming
Batch, Cloud Storage, Cloud Dataflow, Data Proc , DFunc, Big Query & Big TableProven ability in one or more of the following programming or scripting languages- Python, JavaScript, Java, Recommended Skills Apache Hive Apache Spark Architecture Assessments Big Query Big Table Implementations Apply to this job. Think you're the perfect candidate? Apply on company site $('.external-apply-email-saved').on('click', function (event) window.ExternalApply = window.open('/interstitial?jobdid=j3w0gd76zrf3c0j1w17', 'ExternalApply-j3w0gd76zrf3c0j1w17'); ); $(document).ready( function() $(#ads-desktop-placeholder).html(
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n Estimated Salary: $20 to $28 per hour based on qualifications.
Google Cloud Platform Data ArchitectLocation:
Phoenix, AZ (Day 1 Onsite)Duration:
12+monthsOnsite Locations:
Phoenix first, then NYC or Sunrise FLMandatory Skills:
Google Cloud Platform Data Architect with solid exp and certifications Extensive experience working with Google Cloud Platform Data-related Services such as Cloud Storage, Dataflow, Dataproc, BigQuery, Bigtable Very strong experience with Google Composer and Apache Airflow; ability to set up, monitor, and debug a complex environment running a large number of concurrent tasks Good Exposure to RDBMS / SQL fundamentals Exposure to Spark, Hive, Google Cloud Platform Data Fusion, Google Cloud Platform Astronomer, Pub/Sub Messaging, Vertex, and the Python Programming Language Minimum
Qualifications:
Bachelor degree in Engineering or Computer Science or equivalent OR Master in Computer Applications or equivalent.A solid experience and understanding of considerations for large scale architecting, solutioning and operationalization of data warehouses, data lakes and analytics platforms on Google Cloud Platform is a must.Create detailed target state technical, security, data and operational architecture and design blueprints incorporating modern data technologies and cloud data services demonstrating modernization value propositionMinimum of 12 years of designing, building and operationalizing large-scale enterprise data solutions and applications using one or more of Google Cloud Platform data and analytics services in combination with 3rd parties - Spark, Hive, Cloud DataProc, Cloud Dataflow, Apache Beam/ composer, Big Table, Cloud BigQuery, Cloud PubSub, Cloud storage Cloud Functions & GitHub performing detail assessments of current state data platforms and creating an appropriate transition path to Google Cloud Platform cloudA solid experience and understanding of considerations for large scale architecting, solutioning and operationalization of data warehouses, data lakes and analytics platforms on Google Cloud Platform is a must.Create detailed target state technical, security, data and operational architecture and design blueprints incorporating modern data technologies and cloud data services demonstrating modernization value proposition Minimum of 8 years of designing, building and operationalizing large-scale enterprise data solutions and applications using one or more of Google Cloud Platform data and analytics services in combination with 3rd parties - Spark, Hive, Cloud DataProc, Cloud Dataflow, Apache Beam/ composer, Big Table, Cloud BigQuery, Cloud PubSub, Cloud storage Cloud Functions & GitHub performing detail assessments of current state data platforms and creating an appropriate transition path to Google Cloud Platform cloudExperience with Data lake, data warehouse ETL build and design Experience with Google Cloud Services such as Streaming
Batch, Cloud Storage, Cloud Dataflow, Data Proc , DFunc, Big Query & Big TableProven ability in one or more of the following programming or scripting languages- Python, JavaScript, Java, Recommended Skills Apache Hive Apache Spark Architecture Assessments Big Query Big Table Implementations Apply to this job. Think you're the perfect candidate? Apply on company site $('.external-apply-email-saved').on('click', function (event) window.ExternalApply = window.open('/interstitial?jobdid=j3w0gd76zrf3c0j1w17', 'ExternalApply-j3w0gd76zrf3c0j1w17'); ); $(document).ready( function() $(#ads-desktop-placeholder).html(
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n Estimated Salary: $20 to $28 per hour based on qualifications.
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