Description

You will build and scale data platforms using full-stack Python development and modern cloud technologies.

This role is hybrid.

Responsibilities

• Design and scale data platforms using cloud data platforms and modern data modeling.
• Deploy Python-based data pipelines for structured, semi-structured, and unstructured data.
• Develop data processing solutions using batch, real-time, and event-driven frameworks.
• Implement RESTful APIs and web services for data access and consumption.
• Ensure data integrity, lineage, and observability by writing resilient, maintainable code.

Required Skills

• 8+ years of experience in IT across design, development, testing, and implementation.
• 5+ years of hands-on Python development experience.
• 4+ years of SQL and PL-SQL experience with database design and optimization.
• Extensive experience with DBT for large data transformations and documenting models.
• Proficiency with Python libraries including Pandas and frameworks such as Django or Flask.
• Experience with ETL processes and Snowflake.
• Hands-on work with Dataframes and version control systems like Git.
• Practical experience with CI/CD pipelines and tools.
• Ability to implement RESTful APIs and web services.

Key Skills

Education

Any Gradute