Data Engineer at Indicina

Job Duties and Responsibilities

• Optimizing ETL processes: Assemble large, complex data sets to undertake a wide range analyses that answer a variety of questions
• Data architecture: Design data schema and partner with engineering teams to implement high-perf views, including cloud-based workflows in R and Python
• Work closely with Data Scientists to optimize and reengineer model code to be modular, efficient and scalable, and to deploy models to production.
• Configure, deploy, manage, and document data extraction, transformation, enrichment, and governance process in cloud data platforms, including AWS
• Build visualizations to help derive meaningful insights from data.
• Partner with data scientists, PMs, engineers and business stakeholders to understand business and technical requirements, plan and execute projects, and communicate status, risks and issues.
• Perform root cause analysis of system and data issues and develop solutions as required. Design, develop, and maintain data pipelines and backend services for real-time decisioning, reporting, data collecting, and related functions
• Manage CI/CD pipelines for developed services
• Product analytics: Exploratory analysis and answer questions at various levels of product development

Requirement

• Candidates should possess a Bachelor's Degree qualification.