Data engineer(snowflake+dbt+Aws)

• *Experience:** 8\+ Years

Job Summary

We are seeking an experienced **Snowflake Engineer** to design, develop, and optimize scalable cloud\-based data solutions. The ideal candidate will have strong expertise in **Snowflake, dbt, AWS, SQL, and Python**, with hands\-on experience building end\-to\-end ELT pipelines and modern data platforms.

Key Responsibilities

• Design, develop, and maintain data pipelines using Snowflake, dbt, AWS S3, Glue, and Lambda.
• Build and optimize scalable ELT workflows for large\-scale data processing.
• Develop dimensional data models and implement best practices for data warehousing.
• Optimize Snowflake performance using clustering keys, partitioning strategies, and materialized views.
• Implement incremental data loading and transformation frameworks using dbt.
• Create reusable dbt models, macros, tests, and documentation.
• Ensure data quality through validation, monitoring, and automated testing.
• Implement Snowflake security controls, including RBAC, access management, and encryption.
• Develop Python scripts for automation, reporting, and data processing.
• Collaborate with cross\-functional teams to deliver business\-focused data solutions.

Required Skills

• 8–9 years of experience in Data Engineering or related fields.
• Strong hands\-on experience with Snowflake.
• Expertise in dbt, SQL, and Python.
• Experience with AWS services such as S3, Glue, and Lambda.
• Strong knowledge of dimensional data modeling and data warehousing concepts.
• Experience in performance tuning and query optimization.
• Understanding of Snowflake security and governance best practices.
• Excellent problem\-solving and communication skills.

Preferred Qualifications

• Experience with CI/CD for data pipelines.
• Knowledge of data lineage, monitoring, and observability tools.
• AWS or Snowflake certifications are a plus.

Pay: ₹100,000\.00 \- ₹200,000\.00 per month

Work Location: Remote