Data Engineer (Officer-Senior Officer)
947
งาน Data Engineer
เจ้าหน้าที่ - เจ้าหน้าที่อาวุโส Data Intelligence
จำนวน 3 อัตรา
หน้าที่และความรับผิดชอบ
- Design, build, and maintain efficient, reliable, and scalable ETL/ELT data pipelines to integrate data from multiple sources (structured and unstructured).
- Develop and optimize data models for analytics and reporting purposes.
- Collaborate with data analysts, business stakeholders, and other IT teams to understand data requirements and deliver business-aligned solutions.
- Monitor and troubleshoot data systems for issues related to performance, quality, and availability.
- Contribute to building a modern data infrastructure using cloud solutions (AWS, Azure, or GCP) and big data technologies.
- Automate manual data processing tasks to improve efficiency.
- Document technical solutions, architecture, and processes for transparency and knowledge sharing.
โดยมีคุณสมบัติและประสบการณ์ดังนี้
- Bachelor’s degree in computer science, Information Systems, Engineering, or a related field.
- At least 3 years of experience as a Data Engineer or in a related role.
- Hands-on experience with SQL, database management (e.g., Oracle, SQL Server, PostgreSQL), and data warehousing concepts.
- Experience with ETL/ELT tools such as Talend, Apache NiFi, or similar.
- Proficiency in programming languages like Python, Java, or Scala for data manipulation and automation.
- Experience with cloud platforms such as AWS, Azure, or GCP.
- Knowledge of big data technologies such as Hadoop, Spark, or Kafka.
- Strong understanding of data governance, security, and privacy frameworks in a financial services context.
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Excellent problem-solving skills and attention to detail.
คุณสมบัติและประสบการณ์ที่ควรมี
- Banking or financial services industry experience, especially in retail or wholesale banking data solutions.
- Certification in cloud platforms (e.g., AWS Certified Data Engineer, Microsoft Azure Data Engineer, Google Professional Data Engineer).