Expert Data Solutions Architect

7 days ago

Dumaguete, Central Visayas, Philippines beBeeData Full time ₱800,000 - ₱1,000,000
Expert Data Solutions Architect

We're seeking an exceptional data engineer to spearhead the development of our data infrastructure.

As a key member of our team, you'll be responsible for designing, building, and maintaining robust systems and infrastructure for processing and analyzing large and complex datasets. You'll collaborate closely with data scientists, analysts, product managers, and other stakeholders to understand requirements and develop scalable solutions.

This is a unique opportunity to shape the future of our data architecture and processes, driving impactful projects from the ground up.

Key Responsibilities:

  • 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.
  • Construct reliable and scalable data warehousing solutions using tools like Snowflake.
  • Build robust and scalable cloud-based systems on Amazon Web Services (AWS) or Google Cloud Platform (GCP).
  • Improve Continuous Integration/Continuous Deployment processes using tools like Jenkins and GitLab to automate development, testing, and deployment.
  • Maintain and monitor 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.

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 and SQL; knowledge of other languages is advantageous.
  • Experience with REST APIs and building scalable API data platform.
  • 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.
  • Strong written and verbal communication skills.

About This Role:

This is an exciting opportunity to drive business outcomes through innovative data solutions. We're looking for a skilled data engineer who can lead cross-functional teams and deliver high-quality results under pressure.

What We Offer:

A competitive salary, excellent benefits, and opportunities for career growth and professional development.

How to Apply:

Submit your resume and cover letter to apply for this role. We look forward to hearing from you

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