
Data Engineering Professional
2 days ago
Seeking a seasoned data engineer to spearhead the design, development, and maintenance of robust systems and infrastructure for processing and analyzing large datasets.
- Lead efforts to recruit and mentor junior engineers in Manila, fostering a collaborative environment.
- Design and implement performant batch and streaming data pipelines using Apache Airflow, Apache Kafka, and Apache Flink.
- Utilize Snowflake to create scalable data warehousing solutions.
- Employ AWS or GCP to build cloud-based systems that meet scalability and reliability requirements.
- Improve CI/CD processes using Jenkins and GitLab to automate development, testing, and deployment.
- Oversee the maintenance and monitoring of various data applications, pipelines, and databases.
Key Qualifications:
- 5+ years of experience in data engineering or similar field.
- Bachelor's degree in computer science, engineering, mathematics, or related technical field.
- 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 advantageous.
- Experience with REST APIs and building scalable API data platforms.
- Experience with AWS, Snowflake, Kubernetes, and Airflow.
- Comfortable with Linux and command line operations.
- Understanding of ETL processes and event streaming technologies.
- Strong written and verbal communication skills, effective interaction with business and technical teams.
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