Data Engineer (KTV3W)

About the Company

KASIKORN Business-Technology Group (KBTG) is a tech arm of KBank. At KBTG, we never cease to develop financial technologies and wide-ranging digital banking services. We are the driving force behind KBank's success and strive to become the best tech organization of Southeast Asia by 2025. Learn more about KBTG: http://www.kbtg.tech

Responsibilities

• Collaborate with business stakeholders to gather and analyze requirements for new data initiatives and translate them into actionable technical specifications and data solution designs.
• Design, develop, and maintain a robust and scalable data lake architecture on a cloud platform.
• Develop and implement data ingestion pipelines for various data sources, ensuring data quality, consistency, and reliability.
• Design and implement data transformation processes (ETL/ELT) to prepare data for analysis and consumption.
• Build and maintain metadata management systems for data discovery and governance.
• Implement security and access controls to protect sensitive data within the data lake.
• Monitor and optimize the performance of data pipelines and the data lake infrastructure.
• Troubleshoot and resolve issues related to data ingestion, processing, and storage.
• Participate in code reviews and ensure adherence to coding standards.
• Stay current with the latest technologies and best practices in data engineering and cloud computing.

Qualifications

• Bachelor’s degree in Computer Science, Engineering, Data Science, Information Technology, or related field.
• 5+ years of experience as a Data Engineer or related field, with proven track record of building and maintaining large-scale data platforms.
• Extensive experience with cloud-based data warehousing and data lake solutions (AWS, Google Cloud, Azure).
• Proficiency in at least one programming language (e.g., Python, Golang, Java, or Scala).
• Familiarity with SQL and database systems.
• Basic understanding of data processing frameworks (e.g., Spark, Hadoop) is a plus.
• Strong understanding of data modeling, data warehousing principles, and data governance.
• Strong analytical and problem-solving skills; excellent communication and collaboration skills.
• Relevant certification is a plus (e.g., Google Cloud Certified Professional Data Engineer).

Benefits

• Hybrid working model.
• Competitive provident fund contributions.
• Financial wellness support, including home loan assistance.
• Comprehensive health coverage and annual health check-ups for employee, spouse, and children.
• Flexible benefits including support for work-from-home equipment and wellness programs.
• Nap room, occasional massages, and mental wellness support via Occa.
• Business travel and commuting support (e.g., Grab for Business), access to continuous learning platforms (Udemy, Coursera), and K Point Reward program.

Additional Information

Embracing IDEA (Inclusion, Diversity, Equity, and Accessibility): At KBTG, diversity fuels innovation. We embrace different perspectives, foster an inclusive culture, and create opportunities for growth.