Deskripsi Pekerjaan
Are you a visionary Data Engineer looking to make a tangible impact at a Fortune 500 company? Manulife is seeking a talented and driven Data Engineer to join our dynamic team in Quezon City. We offer a supportive and collaborative environment focused on innovation, professional development, and work-life balance.
In this role, you will be the backbone of our data-driven initiatives. You will design, develop, and maintain robust data pipelines and infrastructure to support business intelligence, analytics, and machine learning. You will work with cutting-edge cloud technologies and big data tools to unlock the power of our data, directly influencing strategic decisions that shape the future of our company.
At Manulife, we are committed to your growth. We provide clear career paths, continuous learning opportunities, and a comprehensive benefits package designed to support you and your family. Our Quezon City office is a hub of talent and collaboration, offering a vibrant and inclusive workplace where every voice is heard.
If you are passionate about data, love solving complex problems, and want to build a rewarding career with a global leader, we want to hear from you. Apply today and help us build a better future, powered by data.
Tanggung Jawab
- Architect, design, and implement scalable data pipelines and ETL processes to ingest, transform, and load large datasets from multiple sources.
- Develop and maintain data warehouse and data lake solutions on cloud platforms (AWS/Azure).
- Optimize data models and queries for performance and reliability.
- Collaborate with Data Scientists, Analysts, and Business stakeholders to understand data requirements and deliver high-quality data solutions.
- Implement data quality frameworks and monitoring to ensure data accuracy and integrity.
- Manage and automate data orchestration workflows using tools like Apache Airflow.
- Stay current with industry best practices and emerging technologies to continuously improve our data architecture.
Kualifikasi
- Bachelor's degree in Computer Science, Information Technology, or a related technical field.
- 3+ years of experience as a Data Engineer or similar role in a data-intensive environment.
- Expert-level proficiency in SQL and strong programming skills in Python.
- Hands-on experience with big data technologies (Spark, Hadoop) and cloud data services (AWS Redshift/EMR, Azure Synapse).
- Proven experience with data pipeline orchestration (Airflow, Luigi, or similar).
- Strong understanding of data modeling concepts (star schema, data vault).
- Excellent analytical and problem-solving skills with a keen attention to detail.
- Effective communication and teamwork skills to collaborate in a fast-paced environment.