Senior Data Engineer

Job description

About Trustify Technology
Trustify Technology brings to the world its excellence in Software Development & Testing Services as well as its cutting-edge solutions that can elevate the client product & service delivery. We become the trust partner in IT outsourcing by our collaborative approaches and how the cooperative steps are being nurtured

Our mission is to deliver the highest quality of services to our customers, employees, and partners.

When you join us, you will find:

• You play a key role in the success of our team.
• Well compensation package based on performance and value creation.
• Opportunities to work with talented people and deliver the best product to improve health for humanity.

About Position

We are looking for a Senior Data Engineer with excellent English communication skills to take ownership of our data platform architecture and build next-generation AI-powered data solutions. This role requires deep expertise in Snowflake, ETL pipeline design, and Lakehouse architecture, as well as experience supporting AI/ML initiatives and AI agents.

RESPONSIBILITIES

• Lead the end-to-end architecture and development of a modern, cloud-native data platform using Snowflake, following Lakehouse principles.
• Own and implement advanced ETL/ELT pipelines, ensuring high reliability, performance, scalability, and reusability.
• Design and optimize data models (star schema, normalized models) for analytics, BI, and ML workloads.
• Collaborate closely with data scientists and AI engineers to deliver training data pipelines, model scoring layers, and agent-ready data services.
• Oversee the integration of structured and unstructured data sources, ensuring strong data governance, security, and compliance.
• Champion code quality, documentation, testing, and CI/CD best practices across the data engineering team.
• Mentor junior and mid-level engineers, conduct code reviews, and foster a culture of technical excellence.
• Work directly with global product and business stakeholders using fluent English, including requirement gathering, translating needs into scalable solutions, and presenting architectural recommendations.
• Contribute to the development of AI agents and intelligent data services, leveraging real-time data and vector-based retrieval.
• Lead performance tuning, cost optimization, and infrastructure scaling across the data stack.

Your skills and experience

• 5+ years of hands-on experience in Data Engineering or large-scale data platform development.
• 3-4 years of experience in Snowflake, including: Platform architecture, Performance tuning, Cost management, ELT pipeline design (Experience with Databricks, Spark, or Delta Lake is an additional advantage.)
• Expert-level proficiency in Python and SQL, capable of writing efficient, production-ready code.
• Solid experience building ETL/ELT workflows using Airflow, dbt, or similar orchestration tools.
• Deep understanding of Lakehouse architecture, data warehousing concepts, and large-scale performance optimization.
• Strong working knowledge of cloud environments (AWS, Azure, or GCP).
• Excellent English communication skills (both verbal and written), able to engage confidently with international stakeholders and senior leadership.
• Strong leadership, problem-solving, and project management abilities.

Why you'll love working here

• Be part of a dynamic, international team.
• Sponsorship for professional certification exams.
• Flexible working hours (core time: 9:00 AM – 6:00 PM, Monday to Friday) and work-from-home policy.
• Healthcare: Annual health check-up, Premium Health Insurance.
• 12 annual leaves + public holidays.
• 13th-month salary.
• Bonus for excellent project performance.
• Year End Party (YEP), company trip, team building activities, happy hour.
• Snacks, coffee, tea and soft drinks available in the office.
• Marriage gift, sick leave support, funeral/maternity support.
• Lunar New Year gifts.
• Free parking and provided devices.