Data Engineer

Eastspring is a global asset manager with Asia at its core. We create a culture in which diversity is celebrated and inclusion assured, for our colleagues, customers, and partners. We provide a platform for our people to do their best work and make an impact to the business, and in exchange, we support our people's career ambitions. We pledge to make Eastspring a place where you can Connect, Grow and Succeed.

.

.

KEY ACCOUNTABILITIES

Main responsibilities:

• Design and implement our Data and AI central data platform as well as related tools/systems for advanced business analytics and enterprise data governance
• Manage data modeling design, writing, and optimizing ETL jobs
• Participate in building and enhancing enterprise cloud data warehouse
• Deliver and manage in-house and cloud-native data solutions to meet business requirements across firm-wide business units
• Assist in creating and monitoring analytics dashboards, for different business functions
• Ensure quality, integrity and accuracy of datasets through tracked, secured and auditable controls
• Work with stakeholders to assist with data-related technical issues and support their data needs.
• Follow and enforce best practices in software development and data engineering

------------------------------------

Requirements:

• Excellent coding skills with Python and SQL, and solid understanding of object-oriented analysis and design
• Working knowledge of common algorithms and data structures, with strong analytical and problem-solving skills
• Hands-on experience with Linux and shell scripting
• Working experience with containerization (Docker/K8S) and task orchestration tools (Airflow/Luigi, etc.)
• Experience with cloud service and tools (AWS/Azure/GCP), as well as cloud data warehouse platforms.
• Experience with modern DevOps practices including version control, TDD, CI/CD, etc., for both code and configuration changes.
• Basic understanding and experience with ML/AI concepts (e.g. deep learning, deep reinforcement learning, deep bayesian learning), workflows, and toolsets (Jupyter Notebook, etc.), and libraries (Numpy, Pandas, Scikit Learn, PyTorch, etc.) preferably in both cloud-native and desktop deployments.
• Experience with traditional RDBMS based systems, including Data Lake, Data Warehouses and Marts, and more modern NoSQL and cloud-native big-data technology stacks such as document-oriented databases, Hadoop, columnar data files (e.g., Parquet), etc.
• Familiar with REST APIs, service-oriented architectures (SOA) / microservices, virtualization, and serverless deployment architectures.
• Demonstrated ability to understand, work with and deliver robust solutions in more than one programming language, framework, technology stack, runtime environment, etc..

QUALIFICATIONS / EXPERIENCE:

• Degree level or higher in Computer Science or another quantitative field
• Min 2 years Data Engineering Expereince
• 6-7 year(s) technical experience showing increasing sophistication of solutions implemented, and ability to deliver
• Fluency in both written and spoken English

Eastspring is an equal opportunity employer.  We provide equality of opportunity of benefits for all who apply and who perform work for our organisation irrespective of sex, race, age, ethnic origin, educational, social and cultural background, marital status, pregnancy and maternity, religion or belief, disability or part-time / fixed-term work, or any other status protected by applicable law. We encourage the same standards from our recruitment and third-party suppliers taking into account the context of grade, job and location. We also allow for reasonable adjustments to support people with individual physical or mental health requirements.