Data Engineer (Database, Java / Python)

Responsibilities:

• Design, develop and maintain new data pipeline architecture to support multiple purpose from Analytics, Data Warehouse and Machine Learning.
• Identify, review and re-design data infrastructure to improve data acquisition, data processing and data visualization processes.
• Manipulate and analyze complex data sets on different and data sources (databases, data marts, backup,...) to meet business requirements.
• Design and build analytics tools to provide real-time and non-real time insights into customers origination, operation and systems executions.
• Collaborate with Product Owner, Feature Team and Data Team to define indicators for a meaningful data visualization and data ETL processes.
• Ensure data security and data governance with proper tools and techniques

• Good experience in SQL with complex queries on various database management systems.
• Experience building data pipeline for big data analytics.
• A data practitioner with good data institution and initiatives on structured and unstructured data sets.
• Practical Root-Cause-Analysis skills to analyze business problems and propose actionable solutions.
• Experience with data processing tools: Hadoop, Spark, Kafka, etc.
• Experience with data processing languages: Python, Java, Scala.
• Good English communication skills, both written and oral.