Deskripsi Pekerjaan
Are you a talented Data Engineer ready to build the future of data at Asurion? We are seeking a passionate and skilled individual to join our dynamic team in the heart of Bonifacio Global City, Metro Manila. In this critical role, you will be responsible for designing, building, and maintaining the scalable data pipelines that power our business insights and drive strategic decisions.
At Asurion, we leverage cutting-edge technology to serve millions of customers globally. As a Data Engineer on our team, you will work with massive datasets, utilizing modern cloud architectures and big data tools to ensure our data infrastructure is robust, efficient, and secure. You will collaborate closely with data scientists, analysts, and software engineers to understand data requirements, implement best-in-class ETL processes, and optimize data workflows.
Your expertise will directly impact the organization by enabling real-time analytics, improving operational efficiency, and unlocking new opportunities for innovation. We value a culture of continuous learning and technical excellence. You will have the opportunity to mentor junior engineers, contribute to architectural decisions, and stay ahead of the curve with the latest technologies. If you are a proactive problem-solver who thrives on complex data challenges and wants to make a tangible impact on a global scale, Asurion is the perfect place for your next career move.
Ready to transform data into actionable insights? Apply now to join Asurion's world-class data engineering team in BGC!
Tanggung Jawab
- Design, develop, and maintain highly scalable data pipelines using technologies such as Apache Spark, Kafka, and Airflow.
- Build and optimize data ingestion frameworks to process large volumes of structured and unstructured data from diverse sources.
- Collaborate with data scientists and business analysts to support complex analytical workloads and machine learning initiatives.
- Ensure data quality, integrity, and consistency by implementing robust monitoring, testing, and validation frameworks.
- Manage and optimize cloud-based data warehousing solutions like Snowflake, Redshift, or BigQuery for performance and cost-efficiency.
- Implement data governance and security best practices to protect sensitive information.
- Troubleshoot and resolve data pipeline issues to maintain high availability and reliability.
- Document data architecture, data dictionaries, and operational procedures to foster knowledge sharing and system scalability.
Kualifikasi
- Bachelor's degree in Computer Science, Information Technology, Mathematics, or a related quantitative field.
- 5+ years of proven experience in data engineering or a similar role building and productionizing data pipelines.
- Strong proficiency in SQL and at least one programming language like Python, Java, or Scala.
- Extensive experience with big data processing frameworks (e.g., Apache Spark, Flink).
- Hands-on experience with cloud platforms such as AWS, GCP, or Azure (AWS preferred).
- Deep understanding of data warehousing concepts, dimensional modeling, and ETL best practices.
- Excellent problem-solving skills and a keen attention to detail.
- Outstanding communication skills and the ability to work effectively in a collaborative team environment.