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Description : Job Title : Senior Data Engineer (Snowflake & DBT) Experience : 5 to 8 Years Location : Ahmedabad, Gujarat 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 Description : Job Title : Senior Data Engineer (Snowflake & DBT) Experience : 5 to 8 Years Location : Ahmedabad, Gujarat 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 Mas
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