- At least 2-3 years of experience as a Data Engineer. - Proficient in Python and SQL for data transformation, ingestion, and manipulation. - Hands-on experience with BigQuery, MongoDB, and Postgresql, including schema design and optimization techniques. - Proficiency in bash scripting, enabling automation of data-related tasks and workflows, including the creation and execution of shell scripts for diverse data engineering processes. - Skilled in Apache Airflow, encompassing orchestration of complex data workflows, task scheduling, monitoring using DAGs, familiarity with Operators and Executors, and expertise in managing Airflow server for cluster performance and reliability. - Excellent communication skills to effectively collaborate with cross-functional teams, translating business requirements into technical solutions. - Experience with Docker, including containerization of services, managing Dockerized applications, and utilising Docker Compose for streamlined deployment and scalability. - Familiarity with version control systems to manage codebase efficiently. - Communicate and collaborate with overseas technical teams, ensuring clear understanding of requirements. - Problem-solving skills.