Senior Data Engineer

TL;DR

Senior Data Engineer: Building and operating modern data architectures and end-to-end data solutions for client business objectives with an accent on intricate data processing pipelines and scalable model implementations. Focus on developing data models, leveraging distributed storage and computing technologies, and ensuring data governance, security, privacy, and quality.

Location: Singapore (Singapore Citizen or Permanent Resident required)

Company

hirify.global is a leading technology consultancy revolutionizing tech through purposeful and impactful work with clients for 30+ years.

What you will do

• Develop and operate modern data architecture approaches and end-to-end data solutions to meet business objectives.
• Build intricate data processing pipelines to address clients' challenging problems.
• Collaborate with data scientists to design scalable implementations of their models.
• Write clean, iterative code using TDD and continuous delivery practices to deploy and operate data pipelines.
• Select and implement data models using appropriate technology stacks and distributed storage/computing technologies.
• Collaborate on data governance, security, privacy, and incorporate data quality into daily work.

Requirements

• Singapore Citizen or Permanent Resident required due to client security clearance.
• 7+ years experience writing clean, high-quality code using Python.
• Solid experience with Cloud services (AWS, GCP, or Azure); Databricks is a plus.
• Solid knowledge/experience of DevOps tools and practices, including CI/CD (GitLab/GitHub) and Infrastructure as Code (Terraform).
• Hands-on experience building/operating data pipelines, data storage in distributed systems, data modeling, and modern data engineering tools.
• Experience with large-scale data pipelines, distributed storage/processing platforms, databases (SQL, NoSQL, data lake), data visualization, security/privacy strategies.
• Familiar with Agile, Lean, and/or Continuous Delivery.

Nice to have

• Experience with Databricks.

Culture & Benefits

• Autonomy in career development supported by interactive tools, development programs, and collaborative teammates.
• Cultivation culture emphasizing continuous learning and helping each other grow.
• Inclusive community of bright, supportive colleagues pushing tech boundaries.