We are seeking a dynamic and versatile Senior Data Engineer to join our Data Science Team. The ideal candidate should have broad experience in building highly integrated, high-performance applications for enterprise use cases. The role involves integrating data from multiple systems, consolidating and providing a cohesive UX, while working in an agile environment.
Key Responsibilities:
Design, develop and implement applications to solve complex business problems
Participate in architecture design and build and maintain both front-end and back-end components.
Create intuitive and responsive user interfaces using frameworks like Angular.
Work closely with business partners and the data science team to understand project requirements and translate them into technical solutions.
Develop and maintain data pipelines to support Data Analytics/Engineering initiatives.
Deploy applications into a production environment, ensuring scalability and reliability.
Troubleshoot and participate in code reviews to ensure high-quality code and adherence to best practices.
Maintain comprehensive documentation and outline best practices/approach
Required Qualifications:
15+ years' working experience with a bachelor's or master's degree in computer science or a related technical field.
Proven experience as a full stack developer using Python, JavaScript, and frameworks such as Django. Experience with
distributed or microservice architectures is highly desirable.Proficiency in UI development using frameworks like Angular or React.
Knowledge of data structures, algorithms and software design principles.
Knowledge of cloud infrastructure (AWS preferred) and ideally MLOps.
Expertise with structured (SQL) and unstructured data stores (e.g., ElasticSearch.)
Other Qualifications:
Excellent listening and communication skills, both verbal and written.
Self-motivated and critical thinker, taking ownership of projects and proposing improvements for the entire infrastructure.
Ability to work independently and in a team environment.
Strong multitasking skills, with the ability to manage multiple projects with varying priorities in a fast-paced setting.
Excellent self-management and problem-solving abilities.
Quick learner, open to learning new technologies.
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