Job purpose
We are seeking a highly skilled and Snowflake‑certified Data Engineer to independently design, build, and
optimize scalable data solutions across the enterprise. The ideal candidate will have deep hands-on expertise in
Snowflake architecture, data modeling, and end‑to‑end pipeline development, along with a strong
understanding of cloud data ecosystems, API integration, and enterprise data platforms. This individual
contributor role requires a self-driven engineer capable of owning complex data engineering initiatives
end‑to‑end while ensuring performance, reliability, and alignment with business needs.
Key responsibilities
- Independently design and implement Snowflake databases, schemas, warehouses, RBAC, and workload
management.
- Configure and optimize Snowpipe, Streams, Tasks, Materialized Views, Clustering, and Time Travel.
- Perform performance tuning and troubleshoot issues directly from the Snowflake portal.
- Design robust dimensional and normalized data models aligned with financial domain needs.
- Architect and implement Medallion (Bronze–Silver–Gold) data layers for scalable pipelines.
- Ensure data quality, governance, and secure access patterns.
- Build and manage end-to-end pipelines using:
o dbt for transformations
o Python for automation
o Airflow/ADF for orchestration
- Implement and maintain CI/CD workflows, code reviews, and automated deployment processes.
- Consume REST/SOAP APIs for data ingestion and integration.
- Connect Snowflake with enterprise systems and datasets (Salesforce, SAP, CRM/ERP, cloud services, IDP, etc).
- Integrate Snowflake with cloud-native services for ingestion, compute, and storage.
- Maintain high-performance, cost-efficient cloud data operations.
- Take complete ownership of design, development, deployment, and support with minimal oversight.
- Work directly with architects, business analysts, and stakeholders to translate requirements into solutions.
- Produce high-quality documentation, reusable components, and engineering best practices.
Key competencies
- Candidates should have a B.E./B.Tech/MCA/MBA in Information Systems, Computer Science or a related field
- 10–12 years of hands-on data engineering experience, including a minimum of 6 years dedicated to Snowflake.
- Advanced expertise in Snowflake architecture, implementation, administration, optimization, and troubleshooting.
- Experience with Snowflake Data Sharing and Snowflake Marketplace for accessing, integrating, and managing third‑party and shared datasets.
- Strong knowledge of data modeling and Medallion Architecture.
- Proficiency in SQL, Python, and cloud ecosystem workflows.
- Hands-on experience with dbt, Airflow, Azure Data Factory (ADF), or similar orchestration tools.
- Experience integrating REST/SOAP APIs and connecting Snowflake with enterprise platforms (CRM/ERP/SaaS systems).
- Strong exposure to Azure or AWS cloud data services.
- Experience working in the financial domain (preferred but not mandatory).
- Familiarity with CI/CD, Git workflows, automated deployments, and DevOps best practices.
- Strong problem-solving skills, with ability to independently debug and resolve platform issues using Snowflake portal/console.
- Excellent communication skills, self-driven attitude, and ability to work independently with minimal supervision.
- Snowflake Certification (e.g., SnowPro Core or Advanced Data Engineer).
