Data Engineer

• Implement API Connector to integrate with CDP product or third-party data by API such as Restful, SOAP,..., etc 
• Implement the client jobs look like as Java jobs, Spark jobs,.. or oversee data integration tools that involve ETL (Extract, Transfer, Load) work, which refers to how data is taken (extracted) from a source, converted (transformed) into a format useful that can be analyzed and stored (loaded) into a data warehouse.
• Work closely with the client's data team and the business intelligence teams to develop data and solve their business problems, set up every step of data flow, from configuring data sources to managing analytical tools.
• Build data models and pipelines for research, reporting 
• Be an advocate for best practices and continued learning

• Bachelor’s degree in information technology, or equivalent
• The minimum requirement is one or more years of experience in programming with Java core, SQL and databases, and data visualization/exploration tools
• Knowledge of turning performance and Parallel programming
• Communication skills, especially explaining technical concepts to nontechnical business leaders
• Comfort working in a dynamic, accept freshers challenges 
• Strong about Java or Scala Programming

Preferred Qualifications

• Working with the ETL framework, and learning key data engineering tools like MapReduce, Apache Hadoop, and Spark
• Experience building or maintaining ETL processes
• Familiarity with the AWS ecosystem specifically RedShift and RDS