Data Engineer for USA

 Objectives of this role

• Work with data to solve business problems, building and maintaining the infrastructure to answer questions and improve processes
• Help streamline our data science workflows, adding value to our product offerings and building out the customer lifecycle and retention models
• Work closely with the data science and business intelligence teams to develop data models and pipelines for research, reporting, and machine learning
• Be an advocate for best practices and continued learning

Responsibilities

• Work closely with our data science team to help build complex algorithms that provide unique insights into our data
• Use agile software development processes to make iterative improvements to our back-end systems
• Model front-end and back-end data sources to help draw a more comprehensive picture of user flows throughout the system and to enable powerful data analysis
• Build data pipelines that clean, transform, and aggregate data from disparate sources
• Develop models that can be used to make predictions and answer questions for the overall business

Required skills and qualifications

• Three or more years of experience with Python, SQL, and data visualization/exploration tools
• Familiarity with the AWS ecosystem, specifically Redshift and RDS
• Communication skills, especially for explaining technical concepts to nontechnical business leaders
• Ability to work on a dynamic, research-oriented team that has concurrent projects

Preferred skills and qualifications

• Bachelor’s degree (or equivalent) in computer science, information technology, engineering, or related discipline
• Experience in building or maintaining ETL processes
• Professional certification

Email: neyaz@cloudoplus.com