We are looking for an Azure Data Engineer to join our AI and Data practice, who is passionate about data and technology solutions, with strong problem-solving and analytical skills, tech savvy with a solid understanding of software development, driven to learn more, keeps up with market evolution and industry trends.
You will have the opportunity to work throughout the entire engagement cycle, specializing in modern data solutions including data ingestion/data pipeline frameworks, data warehouse & data lake architectures, cognitive computing and cloud services.
Technical Requirements for the role:
- Support AI & Data team and implement end-to-end modern data platforms in support of analytics and AI use cases
- Collaborate with enterprise architects, data architects, other ETL developers & engineers, data scientists and information designers to lead identification and definition of required data structures, formats, pipelines, metadata, and workload orchestration capabilities
- Address aspects such as data privacy & security, data ingestion & processing, data storage & compute, analytical & operational consumption, data modelling, data virtualization, self-service data preparation & analytics, AI enablement, and API integrations
- Estimate effort and mentor junior colleagues
- Participate in technical meetings with client staff, and advise client with technical option analyses based on leading practices
- Work as a data engineer on AWS but also on other technologies.
- Apply your deep knowledge of technology to drive continuous improvement.
Behavioural Competencies:
- Good communication skills, both written and verbal
- Interpersonal and relationship building skills
- Desire to develop self
- Client delivery focus
- Adaptable
- Focus on quality
- Problem solving ability
- Analytical