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.
