資深資料工程師 Senior Data Engineer

Job Summary We are seeking a highly skilled and experienced Senior Data Engineer to join our growing data team. In this role, you will design, build, and maintain scalable data pipelines and infrastructure that support analytics, machine learning, and business intelligence initiatives. You will work closely with data scientists, analysts, and software engineers to ensure data is accessible, reliable, and secure. Key Responsibilities ￭ Design and implement scalable data pipelines for real-time streaming and batch ETL/ELT processing. ￭ Architect data storage solutions (data lakes, warehouses) to support diverse analytics and ML needs. ￭ Develop and optimize real-time data streaming systems and corresponding dashboards. ￭ Ensure data quality, integrity, security, and governance across systems. ￭ Plan and execute data collection, storage, and maintenance strategies for varied requirements. ￭ Collaborate with data scientists, analysts, and stakeholders to deliver business-driven data solutions. ￭ Mentor junior engineers and promote data engineering best practices. ￭ Monitor and enhance data infrastructure performance and scalability. Qualifications ￭ 5+ years of data engineering experience. ￭ Expertise in SQL, Python, and big data tools (e.g., Spark, Kafka). ￭ Familiar with data representation tools (e.g., Tableau, Looker Studio, Superset). ￭ Proficiency with cloud platforms (e.g., GCP, AWS, Azure) and data services (e.g., BigQuery, Snowflake). ￭ Proven experience in real-time streaming systems, dashboard development, and large-scale ETL design. ￭ Strong knowledge of data modeling, governance, and security practices. ￭ Bachelor’s degree in Computer Science, Engineering, or related field (Master’s preferred). ￭ Excellent problem-solving, collaboration, and communication skills.