Job Description & How to Apply Below
Experience Required - 6+ Years
Time Zone: 6:30 PM to 3:30 AM IST
Work Mode - Remote
As an expert in the Snowflake platform, you will collaborate with cross-functional teams to modernize data environments and translate business requirements into scalable, secure, and resilient data solutions. This role requires a balance of advanced technical data engineering skills and consultative client-facing abilities.
Key Responsibilities
Architecture & Solution Design:
Design secure, scalable data warehouses, data lakes, and data mesh architectures tailored to specific client needs. Data Pipelines & Integration:
Build and optimise ELT/ETL data pipelines using Python, SQL, Snowpark, and modern transformation tools like dbt. Migration & Upgrades:
Lead the migration of legacy on-premises or cloud databases (e.g., Oracle, Teradata, AWS Redshift) into the Snowflake environment. Performance & Cost Optimisation:
Monitor database performance, right-size virtual warehouses, utilize micro-partitioning, and enforce cost-guardrails (auto-suspend targets, query tagging).
Security & Governance:
Configure Role-Based Access Control (RBAC), row/column-level security, data masking, and secure data sharing.
Client Engagement:
Lead client workshops, document technical specifications, and provide strategic recommendations to both technical teams and executive stakeholders.
Required Qualifications & Tech Stack
Education:
Bachelor's Degree in Computer Science, Information Systems, Engineering, or a related field.
Experience:
6+ years of experience in data warehousing, data engineering, or data architecture.
Core Competencies:
Advanced SQL fluency, dimensional data modelling (Star/Snowflake schemas), and database optimisation.
Languages:
Proficiency in Python and SnowSQL.
Tooling:
Familiarity with data build tool (dbt), CI/CD pipelines (Git), and cloud environments (AWS, Azure, or GCP).
Soft Skills:
Excellent written and verbal communication, analytical problem solving, and the ability to work in Agile/Scrum environments.
Preferred Certifications
Snow Pro Core Certification
Snow Pro Advanced certifications (e.g., Architect, Data Engineer)
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