Data Engineer – SnowFlake

This is a fully remote position, open to applicants in Philippines.

📋 Description

• Provide Level 2 and Level 3 support for data platforms, data pipelines, and integrations based on Snowflake.

• Monitor the availability of the platform, warehouse utilization, job execution, pipeline performance, and data quality controls.

• Investigate and resolve incidents, service requests, and data-related issues across various layers of the data platform.

• Conduct root cause analysis and implement permanent solutions.

• Participate in on-call duties, escalation processes, and major incident support.

• Develop, maintain, and support SQL-based transformations, stored logic, pipeline fixes, and minor enhancements.

• Assist with releases, changes, deployments, and post-implementation validation.

• Support and optimize Snowflake databases, schemas, warehouses, tasks, streams, procedures, and integrations.

• Enhance performance, reliability, scalability, and cost efficiency across Snowflake workloads.

• Automate support activities such as monitoring, alerting, remediation, housekeeping, and operational procedures.

• Apply Snowflake security measures, access control, governance, and auditing requirements.

• Support role-based access controls, least-privilege access, and segregation of duties.

• Maintain data protection controls, including masking and row-level access policies.

• Assist in security incident response, investigation, and recovery efforts.

• Collaborate with client stakeholders, internal service teams, and delivery teams.

• Communicate updates on incident status, investigations, service risks, and planned changes.

• Maintain operational documentation, runbooks, known error records, knowledge articles, and technical support notes.

• Document fixes, workarounds, recurring issues, and platform dependencies.

• Contribute to support standards, monitoring baselines, and operating procedures.

⛳️ Requirements

• Strong hands-on experience in supporting Snowflake data platforms, including troubleshooting pipelines, transformations, integrations, and downstream data issues.

• Advanced SQL proficiency.

• Solid understanding of data engineering principles, including ingestion, orchestration, data quality, performance tuning, and platform dependencies.

• Proven skills in incident and problem management.

• Working knowledge of Snowflake security and governance, including access control, least-privilege principles, auditability, and controlled data access.

• Experience supporting releases and changes within a managed services or operational support environment.

• Strong monitoring and analytical capabilities.

• Effective communication skills with stakeholders.

• Well-developed documentation and knowledge management practices.

• A mindset focused on continuous improvement.

• Bachelor’s Degree as specified in the job metadata.

🏝️ Benefits

• Work with cutting-edge tools and AI-enhanced platforms.

• Be part of a high-performing, client-focused team that values growth and innovation.

• Engage in meaningful projects and tackle complex challenges.

• Experience an inclusive, collaborative, and high-performing workplace.

• Enjoy a diverse and inclusive work environment.

• Opportunity to make a significant business impact through operational excellence.