Vacancy caducado!
- 50% - Lead the design and technical solutions for data engineering projects. This includes confirming delivery requirements, planning/tracking/communicating resources and delivery plan, and designing and reviewing solutions.
- 10% - Hands-on development work to test out POCs and design/development patterns and help team as needed on projects' delivery.
- 10% - Mentor other team members on technical skills, best practices, problem solving approaches, and standard patterns used.
- 10% - Understand and improve shared standard patterns, templates, and artifacts data platform architecture, development approaches, data models, and new technology adoption and rollout.
- 5% - Collaborate with upstream and downstream IT and business teams to identify and document use cases, performance and capability requirements, and criteria for successful solution delivery.
- 5% - Troubleshoot technical issues in existing processes and current development work, solicit assistance from other roles and groups, and drive resolution to ensure the integrity of platform quality and project timelines.
- 5% - Proactively define patterns and share technical approaches and best practices among other developers and simplify and communicate completed work to broader audiences across the company.
- 5% - Help support data consumers to ensure they have reliable access to trusted data. This includes periodic responsibility for 24x7 on call production support.
- Minimum Required Education: Master's degree in Computer Science, Computer Applications, Engineering, Business or similar required.
- Technical Expertise in Informatica, Netezza and Google Bigquery.
- Minimum Required Experience: Minimum 5 years' experience in leading and delivering business solutions that rely on data warehousing, data engineering, or similar domains.
- Desirable Education/Experience: 5-10 Years hands-on experience in delivering solutions in at least two areas which include: Data Engineering, Data Modeling, Data Integration, Data Analysis, SQL.
- Data Engineering specialization from Coursera, Udacity, Data Camp etc.
- R / Python Certifications (Optional)
- Certified Business Intelligence Professional from TDWI
- Certified Data Management Professional from DAMA
- Certifications in Data Modeling & Data Engineering
Vacancy caducado!