Data Engineer (Python)

TL;DR

Data Engineer (Python): Building and maintaining software architecture and infrastructure for managing data applications and developing core data platforms with an accent on big data tools, frameworks, and data mesh. Focus on designing intricate data processing pipelines, scalable model implementations, and ensuring data quality in production environments.

Location: Singapore (requires Singapore Citizen)

Company

hirify.global is a leading technology consultancy revolutionizing tech through purposeful work solving complex business problems.

What you will do

• Collaborate with team members to design intricate data processing pipelines addressing clients' challenging problems.
• Work with data scientists to design scalable implementations of their models.
• Write clean, iterative code using TDD and continuous delivery practices to deploy, support, and operate data pipelines.
• Apply standard models for big data and create data models using at least one modeling technique.
• Incorporate data quality into day-to-day work.

Requirements

• 3+ years experience writing clean, high-quality code using Python
• Solid understanding of Cloud services (AWS, GCP, or Azure); Databricks is a plus
• Hands-on experience with data modeling, modern data engineering tools, platforms, distributed storage/processing in production
• Solid knowledge of DevOps tools/practices including CI/CD (GitLab/GitHub) and IaC (Terraform)
• Experience with different types of databases (SQL, NoSQL)
• Familiar with Agile, Lean, and/or Continuous Delivery
• Singapore Citizen required due to client security clearance

Culture & Benefits

• Autonomy in career development supported by interactive tools, programs, and teammates.
• Cultivation culture empowering employees to grow and be their best.
• Inclusive community of bright, supportive colleagues focused on continuous learning.