Data Engineering Professional

1 day ago

Paranaque City, Calabarzon, Philippines beBeeDataEngineer Full time ₱1,500,000 - ₱2,000,000
Job Description

As a data engineer, you will play a pivotal role in shaping the future of data infrastructure and processes. You will be responsible for designing, building, and maintaining robust systems and infrastructure for processing and analyzing large and complex datasets.

  • 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 capable of handling large volumes of data in both real-time market data and batch formats using Apache Airflow, Apache Kafka, and 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.
  • Interact with stakeholders to create and build analytical products and services.
Required Skills and Qualifications

Our ideal candidate has:

  • 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 platforms (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.
Benefits

We offer a competitive compensation package that includes:

  • A salary commensurate with experience.
  • A comprehensive benefits package.
  • Ongoing training and professional development opportunities.
Others

Join our team and contribute to the development of innovative data solutions.

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