- Collaborate with engineers, analysts, and technical managers to build reliable data pipelines and ETL processes.

- Extract, transform, and load data from multiple sources into the analytics platform using tools like Fivetran or Airbyte.

- Implement and maintain data models optimized for both transactional and analytical processing.

- Manage and optimize Snowflake Cloud Data Warehouse performance and storage.

- Develop and maintain data integration workflows and automation using Python.

- Ensure data quality, accuracy, and consistency across all systems.

- Support DevOps and CI/CD pipelines for efficient deployment and release management.

- Evaluate and implement best practices for data governance, security, and warehouse management.

Required Skills & Qualifications :

- Bachelors degree in Computer Science, Engineering, Information Systems, or equivalent practical experience.

- 3-5+ years of experience as a Software Engineer or Data Engineer in a fast-paced, technical environment.

- Proven experience with Snowflake or other cloud-based data warehouses.

- Advanced SQL expertise - strong ability to write, optimize, and troubleshoot complex queries.

- 2-3 years hands-on experience with Python and data extraction tools such as Fivetran or Airbyte.

- Familiarity with version control tools - dbt and GitHub preferred.

- Excellent communication skills and ability to influence cross-functional teams.

- Proven ability to adapt quickly and thrive in a dynamic work environment.

Desired Skills :

- Experience with event tracking tools (e.g., Segment, Tealium).

- Understanding of data modeling best practices for transactional and analytical systems.

- Knowledge of modern data architecture, ETL frameworks, and pipeline orchestration tools.