Senior Data Engineer - Snowflake and DBT

Job Title: Senior Data Engineer (Snowflake & DBT) Experience: 5 to 8 Years Location: Ahmedabad, Gujarat, Hyderabad Job Summary We are looking for a highly skilled Senior Data Engineer with strong expertise in Snowflake and DBT (production support) to join our growing data team at. The ideal candidate will have hands-on experience in building scalable data pipelines, implementing modern data architectures (Medallion/Matillion/Snowflake), and owning projects end-to-end from design to delivery. You will play a critical role in developing high-performance data platforms, ensuring data quality, and driving data-driven decision-making while collaborating with cross-functional teams and clients. Must Have Skills Strong hands-on experience with Snowflake and DBT in production support End-to-end Project Ownership (from scratch to delivery) Experience with Python, Azure Data Factory (ADF), and Data Modelling Knowledge of modern Data Architecture (Medallion / Matillion / Snowflake) Strong proficiency in SQL and cloud platforms Key Responsibilities Architect and implement scalable, modular ELT pipelines using DBT on Snowflake Design layered data models (staging, intermediate, marts) using Medallion architecture Lead ingestion of structured and semi-structured data from APIs, flat files, and cloud storage (Azure Data Lake, AWS S3) Optimize Snowflake performance (query tuning, clustering, warehouse sizing, cost optimization) Utilize advanced DBT features such as macros, packages, testing, and documentation Orchestrate workflows using DBT Cloud, Airflow, or Azure Data Factory with CI/CD integration Implement and enforce data governance practices (RBAC, encryption, secure sharing) Collaborate with stakeholders to translate business requirements into scalable data solutions Mentor junior engineers and lead code reviews and architectural discussions Manage client interactions, requirement gathering, and end-to-end delivery in a consulting environment Required Qualifications 5 to 8 years of experience in Data Engineering Minimum 3+ years of hands-on experience with Snowflake and DBT in production environments Strong expertise in Cloud, SQL, Python, Data Modelling, and ADF Experience in Data Governance, Architecture, and Production Support Education & Certifications Bachelors or Masters degree in Computer Science, Data Engineering, or related field Mandatory Certifications Snowflake SnowPro Advanced DBT Certified Developer Job Title: Senior Data Engineer (Snowflake & DBT) Experience: 5 to 8 Years Location: Ahmedabad, Gujarat, Hyderabad Job Summary We are looking for a highly skilled Senior Data Engineer with strong expertise in Snowflake and DBT (production support) to join our growing data team at. The ideal candidate will have hands-on experience in building scalable data pipelines, implementing modern data architectures (Medallion/Matillion/Snowflake), and owning projects end-to-end from design to delivery. You will play a critical role in developing high-performance data platforms, ensuring data quality, and driving data-driven decision-making while collaborating with cross-functional teams and clients. Must Have Skills Strong hands-on experience with Snowflake and DBT in production support End-to-end Project Ownership (from scratch to delivery) Experience with Python, Azure Data Factory (ADF), and Data Modelling Knowledge of modern Data Architecture (Medallion / Matillion / Snowflake) Strong proficiency in SQL and cloud platforms Key Responsibilities Architect and implement scalable, modular ELT pipelines using DBT on Snowflake Design layered data models (staging, intermediate, marts) using Medallion architecture Lead ingestion of structured and semi-structured data from APIs, flat files, and cloud storage (Azure Data Lake, AWS S3) Optimize Snowflake performance (query tuning, clustering, warehouse sizing, cost optimization) Utilize advanced DBT features such as macros, packages, testing, and documentation Orchestrate workflows using DBT Cloud, Airflow, or Azure Data Factory with CI/CD integration Implement and enforce data governance practices (RBAC, encryption, secure sharing) Collaborate with stakeholders to translate business requirements into scalable data solutions Mentor junior engineers and lead code reviews and architectural discussions Manage client interactions, requirement gathering, and end-to-end delivery in a consulting environment Required Qualifications 5 to 8 years of experience in Data Engineering Minimum 3+ years of hands-on experience with Snowflake and DBT in production environments Strong expertise in Cloud, SQL, Python, Data Modelling, and ADF Experience in Data Governance, Architecture, and Production Support Education & Certifications Bachelors or Masters degree in Computer Science, Data Engineering, or related field Mandatory Certifications Snowflake SnowPro Advanced DBT Certified Developer