About the Role

As a Senior-Level Snowflake Data Engineer, you will lead large-scale data migration and modernization initiatives, transforming legacy data platforms into robust, cloud-based ecosystems. You will play a pivotal role in designing and implementing Snowflake solutions to drive data efficiency, scalability, and innovation. By leveraging your expertise in Snowflake, AWS, Python, DBT, Snowpark, and SQL, you will enable businesses to unlock the full potential of their data assets and optimize performance across mission-critical systems.

Key Responsibilities

- Architect and implement data migration strategies, ensuring seamless transitions from legacy platforms to Snowflake-based cloud ecosystems.
- Develop and optimize Snowflake data pipelines using Python, DBT, and Snowpark to support bulk data migration and transformation workflows.
- Design and execute data modeling, reconciliation, and transformation processes to ensure data integrity and accuracy.
- Identify and resolve performance bottlenecks within Snowflake environments, ensuring optimal query execution and resource utilization.
- Collaborate with cross-functional teams to define and implement best practices for cloud-based data engineering solutions.
- Provide technical leadership and mentorship to junior engineers, fostering skill development in Snowflake, AWS, and data engineering tools.
- Conduct production support activities, including troubleshooting, issue resolution,



and root cause analysis for data systems.
- Stay updated on advancements in Snowflake and cloud data engineering technologies, applying new insights to improve project outcomes.

Required Qualifications

- 10–16 years of hands-on experience in data engineering, with at least 4+ years specializing in Snowflake implementations.
- Proven expertise in AWS cloud services, Python for data engineering workflows, DBT for transformation pipelines, and SQL for querying and optimization.
- Experience with Snowpark for advanced Snowflake development and bulk data migration techniques.
- Robust knowledge of data modeling, transformation, reconciliation, and performance optimization for cloud-based systems.
- Bachelor’s degree in Computer Science, Information Technology, or a related field.
- Demonstrated ability to deliver end-to-end data migration solutions, including design, implementation, and production support.

Preferred Qualifications

- Certification in Snowflake or AWS cloud services.
- Experience in the financial services, healthcare, or retail sectors, with domain-specific knowledge of data challenges.
- Familiarity with CI/CD processes and DevOps practices for data engineering workflows.
- Exposure to advanced analytics and AI/ML integration with Snowflake platforms.
- Strong communication and collaboration skills to work effectively in cross-functional teams.

📌 Architect (Bengaluru)
🏢 Apexon
📍 Bengaluru