Key Responsibilities

- Design, develop, and maintain scalable data pipelines using DBT, Snowflake, and Python

- Build and manage data transformation workflows using DBT (models, macros, testing, and documentation)

- Develop productive data ingestion and processing pipelines using Python

- Optimize Snowflake data models, queries, and performance for large-scale datasets

- Ensure data quality, reliability, and consistency through testing and validation frameworks

- Collaborate with data analysts, business teams, and stakeholders to understand data requirements

- Implement best practices for data modeling, version control, and pipeline orchestration

- Monitor and troubleshoot data pipeline issues and performance bottlenecks

- Maintain clear and structured documentation for data workflows and pipelines

Required Skills & Qualifications

- 57 years of hands-on experience in Data Engineering

- Strong expertise in DBT (Data Build Tool)

- Solid experience with Snowflake (data warehousing, performance tuning,



optimization)

- Strong/Expert Python skills for data processing and pipeline development

- Good understanding of SQL and data modeling concepts (star schema, dimensional modeling)

- Experience with data pipeline orchestration tools (Airflow or similar)

- Familiarity with data quality and testing frameworks

- Strong problem-solving and analytical skills

Preferred Qualifications

- Experience working in cloud environments (AWS, Azure, or GCP)

- Familiarity with CI/CD practices for data pipelines

- Exposure to real-time or streaming data pipelines is a plus

- Experience in enterprise-scale data platforms

Key Deliverables

- Robust and scalable data pipelines

- Optimized Snowflake data models and queries

- DBT-based transformation frameworks

- High-quality, reliable datasets for analytics and reportin

📌 Snowflake Data Engineer (Ahmedabad)
🏢 Mastek
📍 Ahmedabad