QUALIFICATION : B.E./B.Tech or Master's Degree (Any Graduate)
REQUIRED SKILLS :
- 6-10 years of hands-on Data Engineering experience
- Strong expertise in Snowflake
- Experience with at least one of the following : dbt, Airbyte, Airflow (or similar orchestration tools), Terraform
- Strong understanding of Dimensional Modeling (Kimball Facts & Dimensions)
- Experience in Production Support, Managed Services, or Service Desk Operations
- Knowledge of Incident Management, Service Requests, and SLA Management
- Experience with Jira / Jira Service Management (JSM)
- Excellent problem-solving, prioritization, and communication skills
- Team leadership or mentoring experience
- Strong stakeholder management skills
GOOD TO HAVE :
- Experience supporting enterprise Snowflake platforms
- Knowledge of Data Quality SLAs and Data Contracts
- Experience establishing or improving Service Desk processes
- Familiarity with Data Lineage/Catalog tools such as DataHub
KEY RESPONSIBILITIES :
- Monitor, prioritize, and assign incoming service tickets
- Resolve complex production issues across Snowflake, dbt, Airbyte, Airflow, and Terraform environments
- Lead and mentor a team of Data Engineers
- Ensure adherence to SLA response and resolution timelines
- Handle critical escalations and coordinate with internal stakeholders
- Prepare regular service performance reports and present operational insights to management
- Continuously improve service desk processes, workflows, and operational efficiency
- Collaborate with engineering and business teams to maintain high platform availability and service quality
- Communicate technical issues effectively to both technical and non-technical stakeholders.
📌 Snowflake Service Lead - Data Engineering (India)
🏢 One stop shop advisory services (ossas)
📍 India
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