Data Engineer

• Gather and understand the data engineering requirements based on the product and Engineering specifications
• Conduct data discovery to build data models, schemas, tables, view, schemas deployment and many more
• Building appropriate data pipelines in the application to support ETL and automate the pipelines
• Build or use existing tools to execute one time ad-hoc data engineering asks
• Implement and manage CI/CD pipelines using GitLab and Jenkins, enabling automated testing, deployment, and monitoring of data workflows
• Build fact tables, conduct analysis and reporting as per needs
• Conduct data analysis and perform data operations to support business decisions
• Provide architecture guidelines and support from Data engineering aspects in product development
• Apply exceptional problem-solving and analytical skills to troubleshoot complex data and system issues
• Support Data Science team in building model deployment, data pipelines, serving etc
• Document pipeline architecture, processes, and standards, promoting consistency and transparency across the team
• Learn latest trends in data engineering concepts, tools and share with wider organization in brown bags etc
• Provide thought leadership within this area for the entire department
• Work with TPMs, product and relevant stakeholders while executing Data engineering assignments by leading the plan

Principal Data Engineer

Senior Data Engineer

Junior Data Engineer

Junior Data Engineer

Staff Data Engineer

Data Engineer