Jobs → Data & Analytics → Senior Data Engineer

About the Role We are looking for an experienced Senior Data Engineer with AWS expertise to design and develop scalable data pipelines, robust backend services, and cloud-native data solutions. Key Responsibilities • Design, develop, and optimize scalable data pipelines using Python, PySpark, and SQL • Build and maintain reliable Java/Python backend services, REST APIs, and microservices • Leverage AWS cloud services to deliver scalable data engineering solutions • Integrate MCP, LLMs, and Generative AI capabilities into enterprise applications and workflows • Develop reusable code, optimize data transformations, and improve application performance • Participate in code reviews, CI/CD implementation, automated testing, performance tuning, and production support Requirements • Strong experience in data engineering, backend development, or software engineering • Hands-on expertise with AWS services, including S3, Glue, EMR, Lambda, and Redshift • Proven experience developing production-grade APIs and backend services using Java and Python • Hands-on experience with PySpark, distributed data processing, and scalable data transformations • Proficiency in SQL, complex queries, ETL/ELT processes, and query performance optimization • Practical exposure to MCP, LLMs, Generative AI, or AI-powered application integrations • Experience with API testing, debugging, Git, CI/CD pipelines, automated testing, and Agile methodologies