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Data Engineer
2 months ago
GTAL is a leading professional services firm that provides audit, tax, and advisory services to a wide range of clients. Our firm is committed to delivering exceptional client service and making a positive impact in the communities we serve.
About the RoleWe are seeking a highly skilled Data Engineer - Cloud Expert to join our Digital Team. As a Data Engineer - Cloud Expert, you will play a key role in designing, developing, and maintaining scalable and efficient data pipelines and architectures using Databricks. You will work closely with our Data Scientists, BI Specialists, and Application Specialists to implement data models and pipelines that support meaningful and actionable analytics.
Key Responsibilities- Data Pipeline Development: Design, develop, and maintain scalable and efficient data pipelines and architectures using Databricks, ensuring robust data integration and processing.
- Data Model Implementation: Implement, optimize, and manage comprehensive data models to support various data analytics and reporting needs within the organization.
- Collaboration and Communication: Collaborate closely with business users and stakeholders to understand their data requirements and deliver effective data solutions.
- Data Integration: Integrate diverse data sources using modern data integration tools, ensuring seamless data flow and accessibility.
- Cloud Infrastructure Management: Build and maintain a robust data infrastructure in cloud environments, with a focus on Microsoft Azure, to ensure scalability, reliability, and security.
- Technical Expertise: Extensive expertise in SQL for data querying, manipulation, and optimization, ensuring efficient and effective data processing. Proficiency in Python for data processing, automation, and scripting, enabling the development of scalable and maintainable data solutions.
- Cloud Experience: Hands-on experience with Databricks for building, managing, and optimizing data pipelines and workflows in a collaborative environment. Familiarity with cloud environments, preferably Azure, including experience with cloud services and tools for data storage, processing, and integration.
- Modern Data Integration: Knowledge of modern data integration tools such as Fivetran, ensuring seamless data flow and integration across systems.
- DevOps Practices: Understanding of DevOps practices and tools.
- Work-Life Balance: 9-day fortnight with no salary reduction.
- Flexible Work Arrangements: Work from home options | team connection days.
- Professional Development: Opportunities for professional growth and development in a dynamic and supportive environment.
- Recognition and Rewards: Recognition and rewards for outstanding performance and contributions to the team.
