GCP Data Engineer Python & SQL C2C jobs in New York, NY

GCP Data Engineer Python & SQL

Location NY Onsite

Contract

About the Role

The Senior Data Engineer Consultant is responsible for designing building and

optimizing scalable data pipelines and architectures that deliver highquality reliable

and governed data for analytics and decisionmaking In this role you will closely

collaborate with product analytics and infrastructure teams to create automated

maintainable and highperforming data systems within cloud environments

Success in this position requires deep technical expertise in data modeling data

engineering design patterns and cloudnative technologies The ideal candidate

demonstrates a strong architectural mindset maintains exceptional coding standards

and possesses excellent written and verbal communication skills enabling effective

collaboration with both engineering and business stakeholders

Key Responsibilities Design develop and maintain scalable GCP data pipelines using BigQuery

Dataflow and PubSub Architect efficient ETLELT processes and data modeling star snowflake data

vault Collaborate with analytics teams to optimize data ingestion transformation and

storage Implement Apache AirflowCloud Composer orchestration for complex

workflows Develop monitoring alerting and data quality frameworks Conduct code reviews and create comprehensive technical documentation Build automated testing and validation pipelines

Required Qualifications BachelorsMasters in CSData Engineering or related 7 yrs data engineering 5 yrs GCP handson Expertise in Python advanced SQL BigQuery Dataflow Apache AirflowCloud Composer orchestration experience Strong data modeling and design patterns DockerKubernetes deployment experience Exceptional communication skills

Preferred Qualifications Google Cloud Professional Data Engineer certified DatabricksApache Beam experience Mediaentertainment or enterprise analytics experience Atlassian tools JiraConfluence

What Makes You Successful Here Communicate clearly across audiences Own endtoend GCP pipeline delivery Document comprehensively for handover Drive independently while collaborating”