Role: Google Cloud Tech Lead
Location: Chicago, IL / HYBRID
Duration: Long Term Project
Experience: 12+
Client: Capgemini/End client
Key Responsibilities:
1. Cloud Proficiency : Google Cloud Platform (GCP) services, such as BigQuery, CloudRun, CloudStorage, Pub/Sub, Workflows, IAM, Etc . Understanding of cloud-native solutions and architecture is critical.
2. Data Engineering Transformation Tools: Familiarity with data integration tools Cloud Composer (based on Apache Airflow) , Dataflow , CloudRun.
3. 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
4. Data Modeling and ETL Processes: Ability to design robust data models and develop efficient ETL (Extract, Transform, Load) processes, ensuring data quality and consistency.
5. Monitoring and Optimization: Very imp – Skills in monitoring data pipelines and GCP resources using Stackdriver (Google Cloud Operations Suite), and optimizing performance and cost.
6. Problem-Solving/Debugging Skills: Very imp – Strong troubleshooting and problem-solving skills to quickly resolve issues that arise during production. Which includes reviewing log , working with networking , security , IAM , DBAs.
7. Communication Skills: Effective communication skills for collaborating with global teams, including clear documentation practices and the ability to convey technical details to non-technical stakeholders.
8. Automation: Experience in automating routine data processing tasks using scripts and GCP tools to improve efficiency and reliability.
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Shahid Mohammad Sr Technical Recruiter |
2050 Center Avenue | Suite 600 | Fort Lee, NJ 07024 Direct Number: (201) 354-2896 tel (201) 242-5505 x121 shahid.m@wonese.com | www.wonese.com |
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