Data Analyst & Software developer

Develop and maintain data pipelines (ETL) using Python and PySpark.

Ensure data management and data quality throughout the entire data lifecycle.

Develop and maintain data applications and user interfaces using TypeScript.

Support Machine Learning workflows by preparing, transforming, and validating data for model training and inference.

Demonstrate a basic understanding of data orchestration concepts, including scheduling, dependencies, and workflow management.

Participate in the deployment and integration of Machine Learning models into data pipelines and applications.

Participate in the support and maintenance of production data environments.

Collaborate with technical and business teams to understand data and analytical requirements.