Job Purpose

Senior Data Engineer responsible for leading the design, development, and optimization of the company’s enterprise data platform, transforming various data sources into data marts and data models that can be promptly used and easily analyzed. Ensures data accuracy, high usability, timely availability, and strong performance, while working closely with stakeholders and product owners to design and implement the data platform.

Major Responsibility

• Design, implement, and manage end-to-end data pipelines architectures.
• Configure and maintain data ingest workflows (ETL) across several production systems.
• Transform data into Data Mart, Data Model that can be easily analyzed.
• Ensure data accuracy, high usability, timely availability, and strong performance.
• Demonstrate a hands-on development mindset with a willingness to troubleshoot and solve complex problems.
• Ensure compliance with data governance and security policies.

Education Qualifications:

• Bachelor’s Degree or higher in Computer Science, Information Technology, Computer Engineering, or related field. Professional Experience:
• Minimum of 3 years of work experience as a Data Engineer.
• Strong SQL skills with knowledge of NoSQL tools and languages.
• Strong proficiency in Python scripting.
• Experience with AWS Cloud Data Platform services such as S3, Redshift, Glue, Step Functions, and Lambda.
• Experience with other cloud data platforms such as GCP or Azure is an advantage.
• Experience working on Big Data platform is an advantage.
• Strong business understanding, with the ability to identify business problems, define business goals, and locate relevant data.