About The Role

Design and develop scalable data processing solutions using Spark and Amazon EMR or comparable cloud-based data processing platforms.
Build and maintain batch and distributed data pipelines.
Develop software components for data transformation, feature preparation, and AI or machine learning workflow integration.
Collaborate with engineering, AI, and product teams to operationalize data-driven and model-enabled use cases.
Optimize data pipeline performance, cost efficiency, scalability, and production reliability.
Troubleshoot data and application issues across development and production environments.
Contribute to architecture discussions, technical documentation, and engineering standards.
Ensure solutions align with data quality, governance, and security expectations.

4+ years of software engineering or data engineering experience.
Strong experience with Spark and distributed data processing.
Experience with Amazon EMR or similar cloud-based data processing platforms.
Proficiency in Java, Python, or a related programming language.
Exposure to AI or machine learning workflows, model integration, or data preparation for intelligent systems.
Strong understanding of scalable data architecture and performance optimization.
Strong debugging and collaboration skills.
Comfortable delivering in evolving, data-intensive environments.
Ability to bridge software engineering and data engineering responsibilities.
Strong execution focus with practical architecture judgment.