Data Engineer - Data Lakehouse

ZILO™ (Bangkok, Bangkok City, Thailand)

Bangkok, Thailand

ZILO is focused on transforming global transfer agency to create sustainable value for firms and the customers they serve. To achieve this, we started with a clean technology slate, a design-driven approach, and a commitment to put people first. Zilo's technology enables firms to replace legacy end-of-life systems, many of which were developed 30+ years ago, and slash costs, risk, and user friction along the way. Our founders, leadership, engineering, and product teams are highly experienced with successful track histories of pioneering innovation-driven businesses, products, and services. Our collective goal is to be the market leading solution in global asset and wealth management.

About this position

We are seeking a skilled Data Engineer - Data Lakehouse to join our team. The ideal candidate should be experienced in designing and building data pipelines, performing ETL operations, and managing databases. The candidate will also need to have knowledge and experience in using AWS services for data processing, storage, and analysis.

Responsibilities

• Design, build and maintain efficient and scalable data pipelines to support data processing and analysis
• Develop and implement ETL processes to ensure data quality and integrity
• Manage and optimize databases, including designing schema and indexing strategies, data partitioning and data archival
• Work closely with data scientists and business analysts to understand data requirements and translate them into technical solutions
• Collaborate with DevOps and IT teams to deploy, monitor and troubleshoot data systems
• Develop and maintain documentation on data infrastructure and processes
• Stay current with the latest data engineering technologies, tools and practices

Requirements

• Bachelor's degree in computer science, engineering or related field
• Minimum of 3 years of experience in data engineering roles
• Strong proficiency in SQL, ETL processes and database management systems (e.g., MySQL, PostgreSQL, MongoDB)
• Hands-on experience with AWS services for data processing, storage and analysis (e.g., S3, Redshift, EMR, Glue)
• Familiarity with programming languages such as Python or Java
• Understanding of data warehousing concepts and data modeling techniques
• Experience working with big data technologies (e.g., Hadoop, Spark) is an advantage
• Excellent problem-solving and analytical skills
• Strong communication and collaboration skills