
Senior Big Data Specialist
1 day ago
We are seeking a highly skilled Data Engineer to join our team in Manila.
The ideal candidate will have a strong background in data engineering, with experience designing and implementing large-scale data pipelines, data warehouses, and cloud-based systems. The selected individual will be responsible for leading the build of a new team in Manila, creating performant batch and streaming data pipelines, utilizing tools like Snowflake to construct reliable and scalable data warehousing solutions, and employing Amazon Web Services (AWS) or Google Cloud Platform (GCP) to build robust and scalable cloud-based systems.
Key Responsibilities:
- Lead efforts to recruit and mentor new team members in Manilla, fostering a collaborative attitude and high-performing team environment.
- Create performant batch and streaming data pipelines capable of handling large volumes of data in both real-time market data and batch formats.
- Utilize tools like Snowflake to construct reliable and scalable data warehousing solutions.
- Employ Amazon Web Services (AWS) or Google Cloud Platform (GCP) to build robust and scalable cloud-based systems.
- Improve Continuous Integration/Continuous Deployment processes using tools like Jenkins and GitLab to automate development, testing, and deployment.
- Oversee the maintenance and monitoring of various data applications, pipelines, and databases.
- Participate in daily stand-ups and team meetings to coordinate and collaborate on development efforts.
Requirements:
- Bachelor's degree in computer science, engineering, mathematics, or a related technical field.
- 5+ years of work experience in data engineering or similar.
- Experience hiring, mentoring and leading junior engineers.
- Proficiency in Python with at least one data manipulation framework (e.g. Pandas, Dask, Pyspark) and SQL; knowledge of other languages like Java, C#, or C++ is advantageous.
- Experience with REST APIs and building scalable API data platform (e.g. FastAPI).
- Experience with AWS, Snowflake, Kubernetes, and Airflow.
- Experience with Prometheus, Grafana, CloudWatch for monitoring and alerting.
- Comfortable with Linux and command line operations.
- Understanding of ETL processes and event streaming technologies (such as Kafka, Flink, etc.).
- Strong written and verbal communication skills, with the ability to effectively interact with both business and technical teams.
We offer a dynamic and challenging work environment, opportunities for growth and professional development, and a competitive salary package.
Please submit your application, including your resume and a cover letter outlining your qualifications and experience, to be considered for this exciting opportunity.
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