Jobs → Data & Analytics → Data Engineer

About the Role We are looking for an experienced Data Engineer for an enterprise-level cloud and data engineering project. Key Responsibilities • Build and optimize scalable Python/PySpark data pipelines • Develop cloud-native solutions using AWS services • Create and support Jenkins CI/CD pipelines • Monitor application performance and troubleshoot production issues • Collaborate with data, platform, product, and DevOps teams • Follow enterprise security, governance, and Agile practices Requirements • 5–10 Years of experience • Strong hands-on experience with Python • Experience developing distributed data processing solutions using PySpark • Hands-on experience with AWS Cloud Services • Experience building and maintaining Jenkins CI/CD pipelines • Strong ETL/ELT pipeline development experience • Proficiency in SQL, Git, Linux, and Agile methodologies • Glider Assessment Required Preferred Qualifications • Experience with Docker and Kubernetes • Knowledge of Infrastructure as Code • Financial services or regulated industry experience • AWS certifications are a plus