Experiencia
- 5-8 years experience data architecture and engineering
- Experience implementing security measures that are secure, compliant while enabling the underlying systems and business applications
- Proven track record being able to transform and update legacy data models into new models in line with the current state (and future roadmap) of the business
- Highly technical hands on technical architect
- Strong analytical skills and problem-solving ability
- A self-starter, independent-thinker, curious and creative person with ambition and passion
- Excellent inter-personal, communication, collaboration, and presentation skills
- Customer focused
- Excellent time management skills
- Positive and constructive minded
- Takes responsibility for continuous self-learning
- Takes the lead and makes decisions in critical times and tough circumstances
- Attention to detail
- High levels of integrity and honesty
- Collaborates across the business to understand data requirements and helps define and deliver analytics solutions that will deliver business value? ?
- Designs, develops and produces data models of relatively high complexity, leveraging a sound understanding of data modelling standards to ensure high quality
- Lead the production of high-quality data engineering deliverables, helping to ensure project timelines are met, and providing informal mentoring / training to junior members of the team
- Leading the delivery of data quality reviews including data cleansing where required to ensure integrity and quality
- Leading the delivery of data models, data storage models and data migration to manage data within the organization, for a small to medium-sized project
- Resolving escalated design and implementation issues with moderate to high complexity
- Analyzing the latest industry trends such as cloud computing and distributed processing and beginning to infer risks and benefits of their use in business
- Providing technical expertise to maximize value from current applications, solutions, infrastructure and emerging technologies and seek to continuously improve internal processes
- Developing working relationships with peers across other engineering teams and beginning to collaborate to develop leading data engineering solutions
- Driving adherence to the relevant data engineering and data modelling processes, procedures and standards
- Capability to design and implement models, capabilities and solutions to manage data within the enterprise (structured and unstructured, data archiving principles, data warehousing, data sourcing, etc.). This includes the data models, storage requirements and migration of data from one system to another?
Conocimientos sólidos en:
- Azure SQLAzure Data Factory
- Power BI Azure DevOps
- Cosmos DBAzure Data Lake