Data Engineer with Google Cloud Platform
Data Engineer with Google Cloud Platform
Remote
Long Term
Contract
Must Need 12+Years of experience
- Design, develop, and integrate production support technologies and systems to improve data pipeline reliability.
- Proactively identify vulnerabilities and implement systemic process-oriented solutions to enhance pipeline resilience.
- Develop and apply advanced analytics for proactive pipeline monitoring, anomaly detection, and performance optimization.
- Conduct in-depth statistical analysis of pipeline performance, incident data, and root causes to drive continuous improvement.
- Prepare and maintain comprehensive reports and dashboards with key performance indicators (KPIs) for measuring system and pipeline resiliency.
- Collaborate with global team of data analysts, engineers, and leaders to rapidly troubleshoot and resolve data pipeline issues.
- Interface with corporate areas, preparing technical documentation, reports, and presentations on pipeline health and improvements.
- Maintain accurate and up-to-date documentation for systems, processes, and troubleshooting guides.
- Assist in meeting data environment governance requirements, specifically related to pipeline data quality and integrity.
Key Relationships:
- IT
- Operations
- Global / Regional team members
- Suppliers, Integrators, Partners
Knowledge and Technical Competencies:
- Soft skills:Organized, proactive, curious, sense of urgency and prioritization, and a strong feeling of ownership.
- Technical expertise:
o Proven experience in systems support, data pipelines, database reliability engineering, and IT production support.
o Strong background in designing and implementing monitoring, alerting, and logging solutions.
o Proficiency with cloud platforms, specifically Google Cloud Platform (Google Cloud Platform).
o Experience with industrial data historians (e.g., OSI Soft PI) and API data extraction.
Education/Experience:
- Background:Degree in Engineering or Computer Science.
- Technical Skills:
o Proficiency in SQL (queries) and a scripting language (e.g., Python) for data analysis and automation.
o Hands-on experience with Google Cloud Platform data technologies (e.g., BigQuery, Dataflow) and monitoring tools (e.g., Grafana, Cloud Monitoring).
o Familiarity with business intelligence tools (e.g., Looker, Power BI, Tableau) for dashboarding.
- Desirable:Knowledge of process industry KPIs. Familiarity with data governance platforms (e.g., Collibra) and data transformation tools (e.g., Dataform).