Job Description Design, develop, and maintain scalable and efficient data pipelines, ETL processes, and data integration solutions. Collaborate with cross-functional teams to gather data requirements, translate them into technical specifications, and develop data models. Implement and maintain CI/CD pipelines for automating the deployment and testing of data solutions. Optimize and tune data workflows and processes to ensure high performance and reliability. Monitor and troubleshoot data-related issues, perform root cause analysis, and implement corrective actions. Maintain documentation of data infrastructure, processes, and workflows. Stay up-to-date with industry trends and emerging technologies in data engineering and cloud computing. Primary Skills Proficiency in at least one of the cloud technologies: Azure, AWS, or GCP. Minimum 4 years of relevant experience in data engineering, including strong experience with SQL, Python and PySpark. Secondary Skills Experience in any job scheduling tool e.g. Control M, Autosys, Airflow Luigi would be a big plus Experience in complex ETL mappings, CI CD pipelines, dev ops and deployment tools e.g. Docker, Jenkins etc. would be a big plus