Key Responsibilities Design, build, and optimize scalable ETL/ELT data pipelines Develop data processing solutions using Python and advanced SQL Ensure data quality, reliability, and performance across platforms Support and maintain cloud-based data infrastructure (AWS, Azure, or GCP) Create and maintain data models and analytics-ready schemas Troubleshoot and resolve complex data engineering challenges Collaborate with cross-functional teams to deliver data-driven solutions Key Requirements Bachelors degree in Computer Science, IT, Engineering, or related field 24 years experience in a Data Engineering or similar role Strong proficiency in Python and advanced SQL Hands-on experience with ETL/ELT pipeline development Experience with tools such as Apache Airflow, Talend, or similar Exposure to Big Data technologies such as Hadoop, Spark, or ClickHouse