• Work with stakeholders, product owner, cross-functional team to understand their data requirements and develop solutions that meet their needs and optimal solutions.
• Design, develop, and maintain scalable and efficient data pipelines and infrastructure
• Implement best practices for data modeling, data warehousing, and ETL processes
• Process, clean, and verify the integrity of data used for analysis
• Monitor data pipelines to ensure data quality and performance
• Implement best practices for data security and compliance
• Communicate and collaborate with software engineers, AI engineer to ensure seamless integration of data infrastructure with other systems

For AWS experience, candidates:

• Design, implement and maintain scalable data pipelines that can handle largeamounts of data using AWS services such as S3, EMR, Glue, Lambda, Athena,and Redshift
• Develop and maintain data warehouse and data lake solutions using AWS services

• Bachelor’s degree in Computer Science, Information Technology, Computer Engineering, Mathematics.
• Have good problem-solving skills
• Be proficient in at least one programming language, preferably Python
• Have experiences/knowledge of databases
• Have sufficient background in probability and statistics, linear algebra
• Good English reading and writing skills
• Understanding of data modeling, database design, and ETL processes
• Have Knowledge of data modeling, data warehousing, and data lake concepts

NICE TO HAVE:

• Have experiences/knowledge of AI, Machine Learning
• Have experience working on AI related projects