Senior Software Engineer

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:

• Bachelor’s/Master’s degree in Computer Science, Engineering, or a related field with 10+ years of experience.
• Proven experience as a Backend Engineer or similar role, with a focus on analytics and databases.
• Expertise in SQL and database technologies (e.g., MySQL, PostgreSQL, MongoDB).
• Strong knowledge of data structures, algorithms, and software engineering principles.
• Proficiency in a backend programming language (e.g., Python, Java, C#).
• Familiarity with cloud services (AWS, Azure, GCP) and containerization technologies (Docker, Kubernetes).

Preferred Qualifications:

• Experience with big data technologies (e.g., Hadoop, Spark) is a plus.