Deskripsi Pekerjaan
Are you a passionate Data Engineer looking to accelerate your career within a global leader? Manulife is seeking a talented professional to join our dynamic team in Quezon City. In this role, you will play a pivotal part in architecting, developing, and maintaining scalable data pipelines that empower our business with actionable insights. We pride ourselves on a supportive, collaborative, and inclusive culture where your contributions are recognized, and your professional growth is prioritized.
As a Data Engineer at Manulife, you will work with cutting-edge technologies to transform raw data into high-value assets. You will collaborate with cross-functional teams, including Data Scientists, Analysts, and Business Stakeholders, to solve complex challenges in a fast-paced environment. If you thrive on technical innovation and are eager to make a tangible impact on global financial services, we want to hear from you.
Tanggung Jawab
- Design, build, and maintain robust and scalable data pipelines to ingest, transform, and load data from diverse sources.
- Collaborate with data architects and engineers to design efficient data models and storage solutions.
- Ensure high standards of data quality, consistency, and reliability across all production environments.
- Optimize existing data workflows for performance, scalability, and cost-effectiveness.
- Implement automated testing and monitoring to ensure the integrity and availability of critical data assets.
- Participate in code reviews, technical documentation, and knowledge-sharing initiatives within the engineering team.
- Support data governance and compliance initiatives by implementing security best practices.
Kualifikasi
- Bachelor’s degree in Computer Science, Engineering, Mathematics, or a related technical field.
- 3+ years of professional experience in data engineering or a similar technical role.
- Strong proficiency in programming languages such as Python, Scala, or Java.
- Advanced SQL skills and extensive experience with relational and non-relational databases (e.g., PostgreSQL, Snowflake, MongoDB).
- Hands-on experience with cloud platforms (AWS, Azure, or GCP) and big data technologies (Spark, Hadoop, Kafka).
- Experience with workflow orchestration tools such as Apache Airflow.
- Strong analytical mindset with the ability to translate business requirements into technical solutions.
- Excellent communication skills and ability to work effectively in a team-oriented environment.