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.