Responsibilities
Provide Tier 4 production support for data platforms pipelines integrations across Snowflake Databricks Azure Data Factory Azure Data Lake and SQLdatabases.
Triage investigate resolve and document incidents service requests defects data quality issues performance problems failed jobs and access-related requests.
Support Snowflake operations including databases schemas warehouses roles access patterns query troubleshooting performance tuning cost awareness secure data sharing and operational governance.
Perform root cause analysis contribute to problem management and recommend preventive actions to reduce recurring incidents and improve service reliability.
Create and maintain support documentation runbooks knowledge articles recovery procedures escalation paths and operational handover materials.
Use AI-assisted tools responsibly to accelerate support activities such as log analysis query troubleshooting documentation ticket summarization anomaly detection and knowledge discovery while maintaining privacy security and quality standards.
Collaborate with development and engineering teams on fixes releases change validation operational acceptance deployment readiness and post-release support.
Drive continuous improvement in monitoring alerting automation support processes incident response access management data quality checks and operational stability.
Wed love to hear from you if you have
At least 4years ofpractical experiencedevelopment and/orsupporting production data platforms data pipelines integrations and operational data services using Snowflake Databricks Azure Data Factory Azure Data Lake SQL and modern ELT/ETL patterns.
Hands-on experience troubleshooting Snowflake workloads including SQL queries warehouses schemas roles permissions performance data loads and operational failures.
Strong SQL skills with the ability to investigate data discrepancies failed jobs slow queries access issues and production incidents.
Experience working with monitoring alerting logging job scheduling data quality checks and operational dashboards for data platforms and pipelines.
Good understanding ofsupportpractices including incident management request fulfilment change support problem management root cause analysis escalation and knowledge management.
Working knowledge of Python PySpark scripting Git CI/CD concepts and automation practices sufficient to troubleshoot and support production data solutions.
Awareness of how AI can be used responsibly to improve data support activities including ticket triage log analysis anomaly detection documentation and operational knowledge discovery.
Bachelors degree in Computer Science Data Engineering Information Systems or equivalent practical experience.
Excellent communication skills strong ownership customer focus analytical troubleshooting ability attention to detail and a proactive team-oriented mindset.
At Finning we prioritize creating a diverse and inclusive environment. We are proud to be an equal opportunity employer and we actively encourage all individuals to express themselves and achieve their full potential. As a company we continuously strive to enhance our outreach to individuals of all backgrounds and identities. We do notdiscriminate against applicants based on gender identity race national and ethnic origin religion age sexual orientation marital and family status and/or mental or physical Finning is committed to collaborating with and providing reasonable accommodations /adjustments to individuals with disabilities. If you require an adjustment/accommodation at any point during the recruitment process please inform your recruiter.
Required Experience:
IC
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