Senior Snowflake Developer

Senior Snowflake Developer – JD About QualMinds: 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 5–10 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. Bachelor’s or Master’s 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.