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Tech Stack
Tools & technologiesSQLTerraform
About the role
Key responsibilities & impact- Owns the architecture, build, and optimization of the Snowflake platform.
- Design and deploy Snowflake warehouses, databases, and AI capabilities for analytics workloads.
- Automate provisioning, secrets management, schema deployment, and scaling using Terraform and GitHub Actions.
- Implement cost governance through usage tracking, dashboards, resource monitors, and query profiling.
- Integrate Snowflake with various systems to enable unified AI/ML pipelines.
- Enforce data security through RBAC roles, dynamic masking, and efficient compute management.
- Partner with data, ML, finance, and business teams to build and optimize AI-driven data products.
Requirements
What you’ll need- Graduate in Computer Science, Data Science, or related field.
- 4-6 years of experience in data engineering or related field.
- Advanced Snowflake expertise, including Cortex AI, Snowpark, vector embeddings, and intelligent services (SnowPro Advanced certification preferred).
- Strong experience with Terraform and GitHub Actions for IaC and CI/CD.
- Expert-level SQL skills, query optimization, and governance best practices.
- Experience with hybrid integrations (e.g., SQL Server, Salesforce), real-time streaming, and AI/ML observability.
Benefits
Comp & perks- EXL never requires or asks for fees/payments or credit card or bank details during any phase of the recruitment or hiring process and has not authorized any agencies or partners to collect any fee or payment from prospective candidates. EXL will only extend a job offer after a candidate has gone through a formal interview process with members of EXL’s Human Resources team, as well as our hiring managers.
ATS Keywords
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Hard Skills & Tools
SnowflakeTerraformGitHub ActionsSQLAI capabilitiesdata engineeringquery optimizationCortex AISnowparkvector embeddings
Soft Skills
collaborationcommunicationproblem-solvingorganizational skills
Certifications
SnowPro Advanced certification