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Job description

Project Role : Data Modeler
Project Role Description : Work with key business representatives, data owners, end users, application designers and data architects to model current and new data.
Must have skills : Snowflake Data Warehouse
Good to have skills : NA
Minimum 5 year(s) of experience is required
Educational Qualification : 15 years full time education
Summary: Seeking an experienced Data Engineer, Architect with deep expertise in Snowflake and dbt to lead end-to-end data architecture, pipeline design, and DataOps practices. This role blends hands-on engineering with architectural leadership, driving scalable design, data quality, and performance optimization while guiding teams in best practices and governance Roles & Responsibilities: - Design and manage Snowflake data models, schemas, and views for analytics. - Architect scalable ELT pipelines using dbt and Snowflake. - Define data modeling standards and implement dbt macros, reusable components, and tests. - Optimize query performance, compute resources, and cost efficiency. - Ensure data quality, lineage, and integrity across pipelines. - Implement and manage CI/CD pipelines for dbt and Snowflake deployments. - Apply DataOps best practices in versioning, testing, monitoring, and integration. - Manage environments and enforce governance, security, and deployment standards. - Partner with analysts and product teams to deliver analytics-ready, trusted data. - Mentor engineers on Snowflake, dbt, and DataOps best practices. - Collaborate with DevOps and Cloud teams on scalability and reliability. - Maintain clear documentation and development standards. Professional & Technical Skills: - 4+ years hands-on experience with Snowflake – data modeling, tuning, security, and cost optimization. - Advanced dbt expertise – models, macros, tests, and documentation.. - Proficiency with GitLab CI/CD pipelines and collaborative development workflows. - Strong SQL for complex transformations and query optimization. - Proven experience in CI/CD implementation for data workflows (GitLab / GitHub Actions / Jenkins). - Solid grasp of DataOps principles – version control, testing, automation, and deployment governance. - Strong collaboration and communication skills with data and business teams. Good-to-Have Skills - Python scripting for automation and tooling. - Exposure to Airflow or other orchestration tools. - Familiarity with cloud platforms (AWS / Azure / GCP). - Experience with Talend, Monte Carlo, Collibra, or Immuta for data governance or quality. Additional Information: - The candidate should have minimum 5 years of experience in Snowflake Data Warehouse. - This position is based at our Bengaluru,Pune office. - A 15 years full time education is required.
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