Google Cloud Platform Lead
Required Past
Experience:
3
years of overall experience in architecting, developing, testing & implementing Data Platform projects using Google Cloud Platform Components (e.
g.
BigQuery, Dataflow, Dataproc,DLP,BigTable,Pub/Sub,Compos etc.
.
).
OR AWS OR AzureGood Understanding of Data Structures.
Worked with large datasets and solving difficult analytical problems.
Experience working with GIT for Source Code ManagementWorked with Structured and Unstructured dataE2E Data Engineering and Lifecycle (including non-functional requirements and operations) management.
Worked with client teams to design and implement modern, scalable data solutions using a range of new and emerging technologies from the Google Cloud PlatformAutomating manual processes to speed up delivery.
Good Understanding of Data Pipeline (Batch and Streaming) and Data GovernanceExperience in code deployment from lower environment to production.
Good communication skills to understand business requirements.
Required Skills and Abilities:
Mandatory Skills - AWS/ Azure OR BigQuery ,Composer, Dataflow, Python/ Shell scripting, Google Cloud Platform Fundamentals, SQLSecondary Skills - Oracle to BQ migration, IBM DS, Dataproc, DLP, Pub/Sub, , Security(Platform & Data) concepts.
Knowledge of ETL Migration from On-Premises to Google Cloud Platform CloudSQL Performance TuningBatch/Streaming Data ProcessingFundamentals of Kafka,Pub/Sub to handle real-time data feeds.
Good To Have - Certifications in any of the following:
Google Cloud Platform Professional Cloud Architect, Google Cloud Platform Professional Data EngineerAbility to communicate with customers, developers, and other stakeholders.
Mentor and guide team membersGood Presentation skills Strong Team Player Google Cloud Platform Lead Recommended Skills Apache Kafka Big Table Implementations Business Requirements Cloud Computing Communication Data Pipeline Estimated Salary: $20 to $28 per hour based on qualifications.
Experience:
3
years of overall experience in architecting, developing, testing & implementing Data Platform projects using Google Cloud Platform Components (e.
g.
BigQuery, Dataflow, Dataproc,DLP,BigTable,Pub/Sub,Compos etc.
.
).
OR AWS OR AzureGood Understanding of Data Structures.
Worked with large datasets and solving difficult analytical problems.
Experience working with GIT for Source Code ManagementWorked with Structured and Unstructured dataE2E Data Engineering and Lifecycle (including non-functional requirements and operations) management.
Worked with client teams to design and implement modern, scalable data solutions using a range of new and emerging technologies from the Google Cloud PlatformAutomating manual processes to speed up delivery.
Good Understanding of Data Pipeline (Batch and Streaming) and Data GovernanceExperience in code deployment from lower environment to production.
Good communication skills to understand business requirements.
Required Skills and Abilities:
Mandatory Skills - AWS/ Azure OR BigQuery ,Composer, Dataflow, Python/ Shell scripting, Google Cloud Platform Fundamentals, SQLSecondary Skills - Oracle to BQ migration, IBM DS, Dataproc, DLP, Pub/Sub, , Security(Platform & Data) concepts.
Knowledge of ETL Migration from On-Premises to Google Cloud Platform CloudSQL Performance TuningBatch/Streaming Data ProcessingFundamentals of Kafka,Pub/Sub to handle real-time data feeds.
Good To Have - Certifications in any of the following:
Google Cloud Platform Professional Cloud Architect, Google Cloud Platform Professional Data EngineerAbility to communicate with customers, developers, and other stakeholders.
Mentor and guide team membersGood Presentation skills Strong Team Player Google Cloud Platform Lead Recommended Skills Apache Kafka Big Table Implementations Business Requirements Cloud Computing Communication Data Pipeline Estimated Salary: $20 to $28 per hour based on qualifications.
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