Assistant Manager, Data Engineer

• Develop and maintain scalable and reliable data pipelines to ingest data from a variety of different data sources, ensure right data format and adhere to data quality standards, assure the downstream users can get the data quickly
• Develop and maintain highly scalable and extensible Big Data platform which enables collection, storage, modeling, and analysis of massive data sets from numerous channels. Define and maintain data pipeline, data structure, data format to enable business solution
• Develop and enable big data and batch/real-time analytical solutions that leverage emerging technologies
• Evaluate new technologies and products, and research to identify opportunities that impact business strategy, business requirements and performance that can accelerate access to data
• Ensure proper configuration management and change controls are implemented during code migration

Qualifications

• Degree in Computer Science or related field
• At least 3,5 years in Data Engineering roles
• Knowledgeable in programming languages: SQL, Python, Scala (Spark), Databricks
• Experience in multinational project, cross-functional engineering team
• Able to read/write English documents
• Good in thinking, observing and analytics
• Ability of presenting idea to non-technical people
• Flexibility, and adaptability in this fast-growing environment

Nice to have:

• Experience or research in AI/ML, MLOps, or LLM (Large Language Models)
• Familiarity with machine learning frameworks and libraries (e.g., TensorFlow, PyTorch)
• Knowledge of data science and machine learning concepts
• Experience with containerization and orchestration tools (e.g., Docker, Kubernetes)
• Understanding of data governance and data management best practices
• Knowledgeable about anything of banking, finance, accounting, business, e-commerce, insurance, securities are preferred