Data Engineer

We are seeking a proactive Data Engineer to ensure the stability, quality, and timeliness of our data. The role will involve monitoring, incident response, and support for our Snowflake data platform.

Requirements

• Pipeline Monitoring & Observability: Monitor daily data pipelines (ELT/ETL) and dbt jobs to ensure successful completion.
• Incident Response (Break/Fix): Serve as the first line of defense for pipeline failures. Troubleshoot errors in SQL, Python, or ingestion tools, and implement fixes to restore service.
• Data Ingestion Management: Oversee the routine ingestion of data from various sources. Verify data arrival and validate row counts/quality metrics.
• Ticketing & User Support: Manage the data support queue (e.g., Jira, ServiceNow). Assist users with access requests, query issues, and data discrepancies.
• Automation: Write scripts (using Python) to automate repetitive maintenance tasks, alerting, and data validation checks.
• Deployment (CI/CD): Assist in the deployment of code changes (SQL/dbt models) to production, ensuring smooth releases and quick rollbacks if necessary.
• Root Cause Analysis: Document incidents and perform root cause analysis to prevent recurring issues.

Benefits

• Stock options
• Yearly performance-based bonus
• Leave Encashments
• Maternity/Paternity Leaves
• Employee Health covered under Medical, Group Term Life & Accident Insurance
• Employee Assistance Program
• Employee development with LinkedIn Learning
• Employee recognition via Awardco