Engineer 2

 Design, build and maintain scalable and reliable data pipelines to process large volumes of structures, semi-structured and un-structured data from diverse sources. 
•    Develop ETL processes to ingest, transform and load data into data warehouse, ensuring data quality, integrity and consistency. 
•    Collaborate with business stakeholders, report developers and data scientists to understand data requirements and translate then into technical solutions for various business purposes. 
•    Optimize performance and efficiency of data infrastructure and processes, including data storage, processing and querying. 
•    Implement data governance policies and best practice to ensure compliance, security and privacy of sensitive data. 
•    Troubleshoot data issues, identify root cause and implement solutions in timely manner. 
•    Excellent communication and collaboration skills, with the ability to work effectively in a cross-functional team environment.