Join our team as a Data Engineer and play a pivotal role in shaping data solutions. You will be instrumental in designing, developing, and maintaining robust data infrastructure.

This position involves creating efficient data pipelines, ensuring the integrity of data, and implementing sophisticated ETL processes to move and deploy data across various systems.

We are seeking individuals with a strong foundation in Python Frameworks and a passion for data architecture to drive innovation.

Design and build scalable data pipelines and ETL/ELT processes for large-scale data processing.

Develop and maintain data services and APIs to ensure seamless data consumption across different systems.

Uphold data quality, validation, and consistency throughout the data pipelines.

Optimize data workflows for enhanced scalability, performance, and cost-effectiveness.

Manage high-volume and high-velocity datasets with efficient processing techniques.

Provide technical guidance to junior team members, fostering their professional development.

A minimum of 2 to 5 years of relevant experience is required.

Mandatory proficiency in Python Frameworks is essential.

Solid understanding of SQL and NoSQL databases, including advanced query optimization.

Experience with ETL/ELT frameworks and data integration patterns is crucial.

Hands-on experience with cloud platforms like AWS, Azure, or Google Cloud.

A minimum of 15 years of full-time education is a prerequisite for this role.