We at QualMinds design & develop world-class digital products and custom software for Startups, Scale-ups & Enterprises with our world-class engineering team. We assemble a great team of frontend, backend, full-stack, QA automation, UI/UX, DevOps, data science, machine learning, and agile experts to help our clients propel their pursuit of digital excellence. Our engineering community at QualMinds is always passionate about building customer-centric software with the highest quality, performance, security, scalability, and lowest failure rates. We are looking for an experienced Snowflake Developer / Senior Data Engineer with strong expertise in building scalable data pipelines, optimizing Snowflake environments, and delivering high-quality data solutions. The ideal candidate will have 5-10 years of hands-on experience in data engineering with a deep understanding of Snowflake, SQL, and cloud-based ETL tools.

Key Responsibilities :

1. Snowflake Development & Architecture :

- Design and develop scalable Snowflake data models including fact, dimension, and staging layers.

- Define and implement clustering keys, partition strategies, and effective micro-partition usage for large tables.

- Optimize Snowflake storage and compute architecture based on business workloads.

2. Data Ingestion & Pipeline Development :

- Build and maintain ETL/ELT pipelines using : Snowflake SQL, Snowpipe, Azure Data Factory (ADF), Matillion

- Implement incremental / delta load mechanisms and ensure data freshness.

- Perform data validation, deduplication, and consistency checks across sources and targets.

3. SQL & Stored Procedure Development :

- Write complex SQL queries, views, and stored procedures using : Snowflake Scripting, JavaScript (for Snowflake stored procedures)

- Conduct SQL performance tuning and query optimization.

4. Performance Tuning & Optimization :

- Analyze and troubleshoot slow-running queries using Query Profile and Snowflake monitoring tools.

- Optimize performance through warehouse sizing, caching strategies, micro-partition pruning, and query structure improvements.

- Ensure efficient resource consumption and cost optimization.

5. Security, Governance & Access Control :

- Implement and maintain RBAC (Role-Based Access Control).

- Manage roles, users, privileges, and secure data sharing.

- Ensure compliance with organizational security standards and best practices.

6. Monitoring, Troubleshooting & Operations :

- Implement robust error handling including logging, retry mechanisms, and alerting.

- Monitor pipeline performance and proactively identify issues.

- Collaborate with cross-functional teams for requirement gathering, solution design, and production support.

Required Skills & Qualifications :

- 5 to 10 years of experience in Data Engineering or related roles.

- 3+ years hands-on experience working with Snowflake.

- Strong expertise in SQL, stored procedures, and performance tuning.

- Hands-on experience with ETL/ELT tools such as Azure Data Factory, Matillion, or Snowpipe.

- Solid understanding of data warehousing concepts, dimensional modeling, and data architecture.

- Experience with RBAC, security best practices, and data governance.

- Familiarity with cloud platforms (Azure/AWS/GCP preferred).

- Strong debugging, problem-solving, and analytical skills.

- Bachelors or Masters degree in Computer Science, Information Technology, Engineering, or related field.

Preferred Skills :

- Experience with Python or PySpark for data pipeline development.

- Exposure to CI/CD, DevOps practices, and Git-based development workflows.

- Knowledge of monitoring tools and performance analytics.