Data Infrastructure Specialist

1 week ago

Pagadian, Zamboanga Peninsula, Philippines beBeeDataEngineer Full time ₱4,000,000 - ₱6,000,000

Join a dynamic team of experts shaping the future of financial data infrastructure and processes.

You will play a pivotal role in building, maintaining, and scaling robust systems and infrastructure for processing and analyzing large and complex datasets. You will collaborate closely with data scientists, analysts, product managers, and other stakeholders to understand requirements and develop scalable solutions.

Key Responsibilities:

  • Lead efforts to recruit and mentor new team members, fostering a collaborative attitude and high-performing team environment.
  • Develop and maintain data pipelines, data warehouses, and cloud-based systems.
  • 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.
  • Interact with stakeholders to create and build analytical products and services.

Experience / Competences:

  • 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.

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