
Data Analytics Systems Developer
5 days ago
We're looking for a skilled Backend Engineer to join our team and contribute to the development of cutting-edge analytics solutions.
This role involves designing, developing, and maintaining scalable backend services that process and analyze large datasets in real-time.
As a Senior Backend Engineer, you will play a critical part in shaping the backbone of our analytics infrastructure and building systems that impact millions of users worldwide.
Key Responsibilities:
- Design, develop, and maintain robust backend services and APIs for large-scale analytics systems.
- Build and optimize data ingestion pipelines to efficiently process massive volumes of structured and unstructured data.
- Collaborate with data engineering and data science teams to integrate complex analytical models into backend services.
- Implement efficient algorithms for data processing, aggregation, and real-time analytics.
- Ensure high availability, performance, and scalability of backend systems.
- Conduct code reviews, mentor junior engineers, and promote best practices in software development and data engineering.
- Troubleshoot production issues and implement long-term fixes to improve system robustness.
To be successful in this role, you should have:
- A Bachelor's or Master's degree in Computer Science, Engineering, or a related field.
- Minimum 5 years of experience in backend development, preferably in analytics or data-intensive applications.
- Strong proficiency in backend programming languages such as Java, Python, Scala, or Go.
- Deep understanding of database technologies (SQL & NoSQL) including PostgreSQL, MySQL, Cassandra, MongoDB, or similar.
- Experience with data processing frameworks such as Apache Spark, Kafka, Flink, or Hadoop.
- Expertise in designing and building RESTful APIs and microservices architecture.
- Hands-on experience with cloud platforms (AWS, GCP, Azure) and container orchestration (Docker, Kubernetes).
- Solid grasp of distributed systems, data structures, algorithms, and performance optimization.
- Familiarity with version control systems such as Git.
We offer a competitive salary and benefits package, flexible working hours, remote work options, and a culture of continuous learning, innovation, and collaboration.
OthersIf you are passionate about analytics and data-driven applications, we encourage you to apply for this exciting opportunity to join our team and shape the future of analytics solutions.
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