Senior Snowflake Developer

Qualminds

Hyderabad

On-site

INR 1,200,000 - 2,000,000

Full time

14 days+

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Job summary

Qualminds is seeking an experienced Snowflake Developer/Senior Data Engineer in Hyderabad. The ideal candidate will have strong expertise in building scalable data pipelines and optimizing Snowflake environments with 5–10 years of hands-on experience.

Responsibilities include designing Snowflake data models, building ETL pipelines, and implementing performance tuning. A Bachelor's or Master's degree in Computer Science or related field is required, along with experience in cloud platforms and data governance.

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 or Matillion.
  • Solid understanding of data warehousing concepts and dimensional modeling.
  • Experience with RBAC and data governance.
  • Familiarity with cloud platforms (Azure/AWS/GCP preferred).

Responsibilities

  • Design and develop scalable Snowflake data models including fact and dimension layers.
  • Optimize Snowflake storage based on business workloads.
  • Build and maintain ETL/ELT pipelines using Snowflake SQL and Snowpipe.
  • Conduct SQL performance tuning and query optimization.
  • Implement and maintain Role-Based Access Control (RBAC).
  • Monitor pipeline performance and proactively identify issues.

Skills

Snowflake
SQL
Data Engineering
ETL/ELT tools
Performance tuning
RBAC
Problem-solving

Education

Bachelor’s or Master’s degree in Computer Science

Tools

Azure Data Factory
Matillion
Snowpipe

Job description

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.
  • 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
  • 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.
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