Data Engineer

Key Responsibilities

• End-to-End Data Analysis & Modeling: Design, build, and optimize end-to-end data pipelines and data marts for business intelligence and reporting needs.
• Data Environment & Processing: Work hands-on within Databricks environments to process, transform, and analyze large-scale datasets using Python (PySpark/Pandas) and SQL.
• Front-End Application Development: Develop responsive, performant, and interactive front-end interfaces/dashboards to display key data metrics and analytical workflows to stakeholders.
• Cross-Functional Collaboration: Partner with global cross-functional teams (Product, Data Science, Design) in an Agile environment across different time zones.
• Ownership & Initiative: Drive feature delivery independently, taking full ownership of code quality, architecture decisions, and project timelines.

Qualifications & Skills

• Bachelor’s or Master’s degree in Computer Science, Data Science, IT, or related fields

• Minimum 5 years of experience in Data Engineering, Data Analytics, or related roles

• Fluent in English communication.

• Hands-on Databricks Experience: Deep familiarity with Databricks platform capabilities, PySpark, workspace notebooks, and job scheduling.

• SQL Expertise: Advanced proficiency in writing complex, highly optimized SQL queries, window functions, CTEs, and data modeling.

• Python Mastery: Strong experience writing clean, modular Python scripts for data manipulation, ETL processes, and analysis (using libraries like Pandas, NumPy, or PySpark).

• End-to-End Analytics: Proven track record of taking raw, unstructured data and delivering clear, actionable business insights or user-facing data products.

Front-End Tech Stack (Preferred)

• Core Front-End: Proficiency in HTML5, CSS3, and JavaScript (ES6+) / TypeScript.
• Modern Frameworks: Hands-on experience with React.js (Preferred) or Vue.js for building dynamic user interfaces.
• Data Visualization Frameworks: Experience integrating charting libraries like Recharts, D3.js, Chart.js, or Plotly.

Preferred / Good-to-Have

• Experience with cloud platforms (AWS / GCP / Azure).
• Familiarity with version control workflows (Git, GitHub/GitLab) and CI/CD pipelines.
• Understanding of Data Governance, Data Quality frameworks, and API integration (REST APIs/GraphQL) between front-end and back-end data services.

Onsite Mon-Thu (WFH Fri) 09.00-18.00 (Flexible Times)