Google Cloud Platform Data Engineer with data stage exp (10+ years)
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Our client, New York Technology Partners, is seeking the following.
Apply via Dice today!Responsibilities 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 Azure Good Understanding of Data Structures.
Worked with large datasets and solving difficult analytical problems.
Experience working with GIT for Source Code Management Worked with Structured and Unstructured data E2E 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 Platform Automating manual processes to speed up delivery.
Good Understanding of Data Pipeline (Batch and Streaming) and Data Governance Experience 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, SQL Secondary 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 Cloud SQL Performance Tuning Batch/Streaming Data Processing Fundamentals 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 Engineer Ability to communicate with customers, developers, and other stakeholders.
Mentor and guide team members Good Presentation skills Strong Team Player Google Cloud Platform Data Engineer with data stage exp (10
years) Recommended Skills Apache Kafka Big Table Implementations Business Requirements Cloud Computing Communication Data Pipeline Estimated Salary: $20 to $28 per hour based on qualifications.
Our client, New York Technology Partners, is seeking the following.
Apply via Dice today!Responsibilities 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 Azure Good Understanding of Data Structures.
Worked with large datasets and solving difficult analytical problems.
Experience working with GIT for Source Code Management Worked with Structured and Unstructured data E2E 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 Platform Automating manual processes to speed up delivery.
Good Understanding of Data Pipeline (Batch and Streaming) and Data Governance Experience 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, SQL Secondary 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 Cloud SQL Performance Tuning Batch/Streaming Data Processing Fundamentals 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 Engineer Ability to communicate with customers, developers, and other stakeholders.
Mentor and guide team members Good Presentation skills Strong Team Player Google Cloud Platform Data Engineer with data stage exp (10
years) 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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