
Data Engineer
4 weeks ago
- Design, develop, and maintain in-house data platform that empower teams across the company to build reliable, scalable, and efficient data solutions.
- Contribute to the design and development of core components under the guidance of senior engineers.
- Collaborate with data platform and product teams to understand data needs and help deliver robust solutions.
- Ensure code quality through testing, monitoring, and observability best practices.
- Support optimization of compute and storage resources to improve system performance.
- Participate in code reviews, technical discussions, and team planning sessions.
- Continuously explore and experiment with modern data platform tools and practices to improve the platform's capabilities.
- 3-8 Years of hands-on experience in software development or data engineering.
- Industry experience from Banking or Finance.
- Proficiency in Python, SQL or a similar programming language.
- Experience in Azure cloud, Azure Data Bricks, and Azure Data Factory
- Familiarity with distributed systems and big data processing technologies (e.g., Spark, Kafka).
- Exposure to containerization and orchestration tools like Docker and Kubernetes is a plus.
- Work Setup : Hybrid ( 1 day onsite/Week in Makati Site)
- Shift: Morning
- Device will be provided
- Mid-Senior level
- Contract
- Information Technology
- Industries: Business Consulting and Services, IT Services and IT Consulting, and Banking
Note: This description excludes unrelated boilerplate such as referral notes, location feeds, and non-essential company updates. It retains the core responsibilities and qualifications for the role.
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