A career within Data and Analytics services will provide you with the opportunity to help organizations uncover enterprise insights and drive business results using smarter data analytics.
Requirements
- Design, develop, and maintain scalable data pipelines and architectures using Spark, PySpark, and Python.
- Lead and manage a team of data engineers, providing technical guidance, mentorship, and performance management.
- Collaborate with cross-functional teams to understand data requirements and deliver high-quality data solutions.
- Ensure data quality, integrity, and security across all data engineering projects.
- Implement best practices for data engineering, including code reviews, testing, and documentation.
- Stay up-to-date with the latest industry trends and technologies in data engineering and cloud computing.
- Work closely with stakeholders to understand business needs and translate them into technical requirements.
- Manage project timelines, resources, and budgets to ensure successful delivery of data engineering projects.
Benefits
- inclusive benefits
- flexibility programmes
- mentorship