Chief Data Architect

1 week ago

Pagadian, Zamboanga Peninsula, Philippines beBeeData Full time $80,000 - $120,000

Senior Data Engineer Opportunity

We are seeking a highly skilled Senior Data Engineer to lead our engineering team in Manila. The ideal candidate will have a strong background in data engineering and experience in building scalable data pipelines.

Job Description:

The successful candidate will be responsible for designing, building, and maintaining robust systems and infrastructure for processing and analysing large and complex datasets. They will work closely with data scientists, analysts, product managers, and other stakeholders to understand requirements and develop scalable solutions.

Key Responsibilities:

  • Lead the build of a new team in Manila: Recruit and mentor new team members in Manila, 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 (Apache Airflow, Apache Kafka, Apache Flink).
  • 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.

Required Skills and Qualifications:

  • 5+ 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 (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.
  • Prior experience working with financial market data is beneficial.

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