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.