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Role: Google Cloud Data Engineering Lead
Locations: Chicago, IL (Hybrid Onsite)
Duration: 12+ Months Contract
Note: Candidate needs to be in the office 3 Days every week.
Requirement: Need 10+ Years of Experience in below skills:
Cloud Proficiency:
Google Cloud Platform (Google Cloud Platform) services, such as BigQuery, CloudRun, CloudStorage, Pub/Sub, Workflows, IAM, Etc .
Understanding of cloud-native solutions and architecture is critical.
Data Engineering Transformation Tools:
Familiarity with data integration tools Cloud Composer (based on Apache Airflow) , Dataflow , CloudRun.
Programming Languages/Infrastructure as Code/ Code Management:
Strong knowledge of languages commonly used in data engineering, such as Python, SQL ,Terraform, CI/CD , Git flows, Attunity , AutoSys
Data Modeling and ETL Processes:
Ability to design robust data models and develop efficient ETL (Extract, Transform, Load) processes, ensuring data quality and consistency.
Monitoring and Optimization:
Very imp - Skills in monitoring data pipelines and Google Cloud Platform resources using Stackdriver (Google Cloud Operations Suite), and optimizing performance and cost.