Job Description
Self Motivated Engineer with a solid understanding of modern data ecosystems and a relentless drive for excellence and innovation. This role requires someone who thrives in dynamic environments, carrying strong technical foundations with adaptability and a product-focused mindset.
Key Responsibilities
- Design and deliver optimized, data-driven systems that address the Volume, Velocity, and Variety of enterprise-scale data.
- Develop, test, and maintain data pipelines and distributed data-processing workflows using Python, PySpark or equivalent processing engines.
- Integrate diverse data sources into unified, high-performing platforms that enable analytics and machine learning initiatives.
- Implement data orchestration using tools such as Airflow, within cloud ecosystems like AWS, Azure, or GCP.
- Apply best practices in data modeling, ETL/ELT design patterns, and schema evolution management. ...