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Cloud and Data Architect

2 weeks ago

Taguig, National Capital Region, Philippines Thinking Machines Data Science Full time

Thinking Machines Data Science is a consultancy that empowers organizations to make informed decisions through AI & data platforms. We're looking for a skilled Data Engineer to join our team, responsible for collecting and consolidating data from various sources, securing it and transforming it into usable formats for our team.

We value diversity and inclusivity in our team, believing that great data science products are built with care for people. As a Data Engineer, you'll collaborate with cross-functional teams to architect analytics platforms, debug ETL pipelines, and optimize machine learning models for deployment.

Key Responsibilities
  • Design and build systems for collecting, transforming, and storing data, leveraging your expertise in Python, SQL, and cloud environments.
  • Collaborate with teams to identify and resolve technical issues, driving initiatives and supporting teams when needed.
  • Mentor junior engineers and foster a culture of learning and growth within the team.
Requirements
  1. 3+ years of experience in data engineering or software engineering, with a strong background in Python and SQL.
  2. Familiarity with cloud environments, particularly IaaS like AWS and GCP, with bonus points for Azure.
  3. Experience working with Google and/or Azure stack, including tools like BigQuery, Dataflow, and TensorFlow.
  4. A strong security-conscious mindset, handling client data while adhering to established protocols.
  5. Excellent communication skills, with the ability to explain complex concepts to both technical and non-technical stakeholders.
  6. Demonstrated mentorship and project leadership experience, guiding junior engineers and fostering a culture of learning and growth.
  7. Strong technical documentation skills, with experience writing manuals, proposals, and guidelines.
  8. A consultative mindset, working closely with clients to understand their challenges and provide strategic recommendations.
  9. A generalist perspective, eager to explore roles beyond data engineering and connect the dots to drive strategic outcomes.
  10. Initiative, taking ownership of projects and supporting teams when needed.

Ideal candidates have:

  • People management experience, ensuring the well-being of juniors and helping them set development goals.
  • Aspirations for people management or project leadership, actively seeking opportunities to grow.
Our Benefits
  • Competitive compensation package tied to job difficulty, experience, fit, and skill factors.
  • Hybrid remote setup, requiring two in-person days a week for collaboration and client engagements.
  • An individual professional development budget for sharpening skills and building new ones.
  • Full health benefits package upon hiring, with options to include dependents.
  • Regular apprenticeship and performance reviews with the leadership team.