Data Engineer

Job Description

Join our team in building a modern, high-impact Analytical Platform for one of the largest integrated resort and entertainment companies in Southeast Asia. This platform will serve as a unified environment for data collection, transformation, analytics, and AI-driven insights—powering decisions across marketing, operations, gaming, and more.

You’ll work closely with Data Architects, ML Engineers, Business Analysts, and DevOps to design and implement scalable data solutions.

Requirements

• 5+ years of experience in data engineering or backend data development.
• Strong knowledge of data pipeline design, integration frameworks, and ETL tools.
• Experience working with cloud or hybrid data architectures.
• Proficiency in SQL and at least one programming language (e.g., Python, Scala).
• Hands-on experience with distributed data processing (e.g., Spark, Flink) is a plus.
• Familiarity with data lake, data warehouse, or lakehouse architectures.
• Experience with real-time data streaming and ingestion frameworks is a strong advantage.
• Understanding of data security, privacy, and compliance best practices.
• Experience working in Agile/Scrum environments.

Nice to have skills

• Experience with modern open-source tools (e.g., Airflow, dbt, Delta Lake, Apache Kafka).
• Exposure to machine learning pipelines or working alongside ML teams.
• Familiarity with BI tools and data visualization concepts.
• Experience working in regulated industries (e.g., gaming, finance, hospitality).

Responsibilities:

• Design, build, and maintain scalable and reliable data pipelines for ingesting data from various sources (internal systems, APIs, external platforms).
• Work with structured, semi-structured, and unstructured data, ensuring data quality, consistency, and integrity.
• Develop and maintain ETL/ELT processes to support real-time and batch analytics.
• Collaborate with Data Architects to design optimal data models and storage structures for analytics workloads.
• Implement data validation, deduplication, and transformation logic.
• Contribute to the definition of data governance, security, and access policies.
• Participate in platform scaling and performance optimization initiatives.
• Work closely with business and analytics teams to understand data needs and translate them into technical solutions.

Benefits

• 35 absence days per year for work-life balance
• Udemy courses of your choice
• English courses with native-speaker
• Regular soft-skills trainings
• Excellence Сenters meetups
• Online/offline team-buildings
• Business trips