Responsibilities

• Partner with leadership,engineers,program managers and data scientists to understand data needs.
• Convert erroneous data into a usable form for further analysis.
• Create large data Warehouses using ETL.
• Develop,test and maintain architectures.
• Develop dataset process

Qualifications

• Bachelor’s /Master’s Degree from relevant field.
• A good understanding of database architecture and querying using SQL/ HiveQL with minimum 3 year’s experience.
• Exposure to data and machine learning services from Azure, Amazon Web Services (AWS), and/or Google Cloud.
• Ability to quickly understand business requirements and transform them into data models.
• Good Communication Skills.
• A proven track record of leading a team would be a plus.
• programming experience using any language such as python,Java etc.