We are seeking a highly skilled and experienced Backend Engineer to join our team. The ideal candidate will be responsible for developing and maintaining the analytics pipeline that drives insights and decision-making across our organization. This role demands a strong background in databases, SQL, analytics, and optimization to ensure efficient data handling and processing.
- Be a part of a startup team in the company, working on creating a new product.
- Engage in the development of state-of-the-art Gen AI technology.
Key Responsibilities:
Develop and Optimize Analytics Pipeline:
- Design, build, and maintain scalable and robust backend systems for our analytics pipeline.
- Optimize data processing and storage mechanisms for performance and efficiency.
Database Management:
- Implement and manage database solutions to store and retrieve large datasets.
- Write complex SQL queries for data manipulation and retrieval.
- Ensure database performance, integrity, and reliability.
Data Analytics Integration:
- Collaborate with data scientists and analysts to integrate advanced analytics and machine learning models into the pipeline.
- Develop APIs and services for data access and manipulation.
Performance Optimization:
- Monitor and optimize the performance of the backend systems.
- Implement caching, indexing, and other optimization techniques.
Quality Assurance:
- Ensure the accuracy and integrity of data throughout the pipeline.
- Implement automated tests and conduct code reviews to maintain high code quality.
Collaboration and Support:
- Work closely with other engineering teams to integrate the analytics pipeline into the broader system architecture.
- Provide technical support and guidance on backend and database-related issues.
Qualifications:
- Bachelorโs/Masterโs degree in Computer Science, Engineering, or a related field.
- 10+ years experience as a Backend Engineer or similar role, with a focus on analytics and databases.
- Expertise in SQL database technologies
- Strong knowledge of data structures, algorithms, and software engineering principles.
- Proficiency in a backend programming language (e.g., Python, Java).
- Familiarity with cloud services (AWS, Azure, GCP) and containerization technologies (Docker, Kubernetes).
Attributes:
- Excellent problem-solving skills and attention to detail.
- Strong analytical and critical thinking abilities.
- Excellent communication and teamwork skills.
- Self-motivated with a passion for continuous learning and improvement.
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