Responsibilities: Design, build, and maintain scalable data pipelines to enable real-time and batch data processing. Collaborate with data scientists and analysts to understand data requirements and deliver solutions. Optimize and enhance data storage solutions, including data lakes and data warehouses. Ensure data quality and integrity by implementing appropriate testing and monitoring strategies. Conduct data profiling and analysis to improve data structure and accessibility. Stay abreast of industry trends and evaluate new data technologies and architectures. Participate in architectural reviews and provide input on system design. Requirements Requirements: Bachelor's or Master's degree in Computer Science, Engineering, or related field. 5+ years of experience in data engineering or a related role. Proficiency in SQL and databases (e.g., MySQL, PostgreSQL, or NoSQL solutions like MongoDB). Experience with data processing frameworks such as Apache Spark or Hadoop. Solid understanding of ETL processes and tools (e.g., Airflow, Talend). Familiarity with cloud platforms (AWS, GCP, or Azure) for data management. Strong programming skills in Python, Java, or Scala. Exceptional analytical and problem-solving abilities. Excellent communication skills and a collaborative mindset. (EA Reg No: 20C0312) Please email a copy of your detailed resume to abegail@talentsis.com.sg for immediate processing. Only shortlisted candidates will be notified. Benefits Permanent role