Jobs → Data & Analytics → Senior Data Engineer

About the Role We are looking for a Senior Data Engineer to join our team and build scalable data pipelines, develop production-grade APIs, and integrate LLM and Generative AI capabilities into enterprise solutions. Key Responsibilities • Design, develop, and optimize scalable data pipelines using Python, PySpark, SQL, and AWS services. • Build and maintain production-grade APIs, backend services, and microservices using Java and Python. • Integrate RESTful APIs to support enterprise applications and data-driven workflows. • Leverage AWS cloud services to deliver reliable, scalable data engineering solutions. • Develop and integrate MCP-based solutions, LLMs, and Generative AI capabilities into enterprise workflows. • Write reusable, maintainable code and optimize SQL queries and ETL/ELT processes. • Collaborate with engineers, architects, data scientists, and business stakeholders to deliver technical solutions. • Troubleshoot APIs, data pipelines, cloud integrations, and production issues. • Participate in code reviews, automated testing, CI/CD, performance tuning, and production support. Requirements • Strong hands-on experience in data engineering, backend development, or software engineering. • Expertise in AWS services such as S3, Glue, EMR, Lambda, and Redshift. • Proven experience developing production-grade APIs and backend services using Java, Python, and RESTful API design. • Hands-on experience with PySpark, distributed data processing, scalable data transformations, and SQL optimization. • Strong understanding of object-oriented programming, software design principles, data structures, and maintainable architecture. • Practical exposure to MCP, LLMs, Generative AI, or AI application integration. • Experience with API testing, authentication, debugging, Git, CI/CD, automated testing, and Agile practices. • Familiarity with RAG, LLM orchestration, AWS AI services, microservices, and application observability is preferred.