Senior Data Engineer

Eyepax is a global software solutions firm with a strong international presence spanning over 17 years. Headquartered in Singapore, we have development centers in Sri Lanka and Vietnam. As a member of our Vietnam team, you will join a workforce of over 180 IT professionals.

We seek a talented and motivated Data Engineer/Senior Data Engineer to join our development team. As a Data Engineer/Senior Data Engineer, you will play a key role in developing and maintaining the data infrastructure that supports our client's operations. This is an excellent opportunity to contribute to the development and success of our organization. Proficiency in English communication is essential for seamless collaboration with teammates and clients worldwide.

Experience and Responsibilities:

• Bachelor's or master's in Data science, Data Engineering, Computer Science or a related field.
• A minimum of 4 years SDE experience specifically in a data engineering role, including working with large-scale data platforms.
• Design, develop, and maintain robust data pipelines to support analytics and business needs by ingesting and processing data from various sources into the cloud platform.
• Collaborate with cross-functional teams, including Data Science and Data Product teams, to define data models, architecture, and transformations using tools like DBT (SQL/Jinja).
• Proficient in Python-based data engineering (Mage) and SQL (MySQL, PostgreSQL, NoSQL).
• Experience with big data tools like Databricks and Spark and cloud-based platforms like BigQuery for large-scale data analytics.
• Skilled in data analysis and able to interpret complex data sets and derive actionable insights.
• Define and standardize data assets to ensure high-quality data delivery while supporting the design and development of scalable data architectures and integration solutions.
• Ensure data quality, reliability, and security by supporting Data Governance processes.
• Able to understand cloud-based infrastructure and have experience working with data visualization tools such as Tableau, Looker Studio, and Power BI.
• Knowledge of ETL/ELT best practices, data warehousing concepts, and experience with data modeling techniques.
• A basic understanding of Google Tag Manager and Google Analytics setup, testing, and validation is a plus.
• Assist the team leader in project management and provide business-as-usual (BAU) support services.
  

Qualification and Personal Characteristics:

• Strong problem-solving and analytical skills with attention to detail.
• Excellent communication and teamwork skills, with the ability to work collaboratively with user departments and vendors.
• Ability to learn new technologies quickly and innovate within the data space.
• Strong customer service mindset, with the ability to train and mentor team members, identifying skills and gaps.
• Self-initiative, proactive, and forward-thinking, focusing on continuously improving data platforms and processes.

Why You'll Love Working Here

• 13 Months' salary & performance bonuses
• Opportunities for international travel for training and work-related purposes
• 12 Days annual leave (1 day per month) + 8 Days leaves (After probation & prorated)
• Private healthcare benefits for the individual
• Annual medical checkup
• Birthday Gift
• Marriage Gift
• Newborn Baby Gift
• Funeral endowment benefit for the demise of any immediate family member of yours
• Value-driven, international working environment and continuous improvement of culture
• Individual wellness practices and professional work approach
• Opportunity to work with world-class clients and 30+ technologies.
• Multinational management team
• Exciting and fun company events (Local and global)
• World-class training & development programs