Chief Data Engineering Architect

1 day ago

Pulong Santa Cruz, Calabarzon, Philippines beBeeDataEngineer Full time ₱4,000,000 - ₱8,000,000
Senior Data Engineer

We are seeking a highly skilled Senior Data Engineer to join our global team. The ideal candidate will have extensive experience in designing, building, and maintaining robust systems and infrastructure for processing and analyzing large and complex datasets.

The successful candidate will lead efforts to recruit and mentor new team members, fostering a collaborative attitude and high-performing team environment. Additionally, they will create performant batch and streaming data pipelines capable of handling large volumes of data in both real-time market data and batch formats.

  • Lead the build of a new team: Lead efforts to recruit and mentor new team members, fostering a collaborative attitude and high-performing team environment.
  • Create performant batch and streaming data pipelines: Create performant batch and streaming data pipelines capable of handling large volumes of data in both real-time market data and batch formats.
  • Design and implement scalable data warehousing solutions: Utilize tools like Snowflake to construct reliable and scalable data warehousing solutions.
  • Develop robust and scalable cloud-based systems: Employ Amazon Web Services (AWS) or Google Cloud Platform (GCP) to build robust and scalable cloud-based systems.
  • Improve Continuous Integration/Continuous Deployment processes: Improve Continuous Integration/Continuous Deployment processes using tools like Jenkins and GitLab to automate development, testing, and deployment.
  • Oversee maintenance and monitoring: Oversee the maintenance and monitoring of various data applications, pipelines, and databases.

Experience and qualifications:

  • 7+ years of work experience in data engineering or similar
  • Bachelor's degree in computer science, engineering, mathematics, or a related technical field
  • Experience hiring, mentoring, and leading junior engineers
  • Proficiency in Python with at least one data manipulation framework and SQL; knowledge of other languages is 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
  • Prior experience working with financial market data is beneficial

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