Contract Data Engineer
Summary
1-year contract Data Engineer at APJ Hong Kong: optimizing and operating a cloud data platform on Azure (Databricks, Data Factory, ADLS Gen2), building data models and Power BI visualizations with analysts, validating pipelines, and documenting/automating operations. Requires 3+ years of data platform experience with Python, SQL, and Spark.
Salary: $40,000 – $45,000 per month
APJ Hong Kong ( www.apjcorp.com.hk ) provides the highest quality software development, maintenance and testing services. We have cost effective service centers with highly qualified IT professionals in Hong Kong. Our clients include major enterprises and organizations in the Finance, Manufacturing, Public Utility, Retail, healthcare and Government sectors. We are looking for Data Engineer (1-year contract).
You will be involving…
Optimize, operate at scale and enhance cloud-based data platform on Microsoft Azure (incl DataBricks)
Involve in cloud data platform enhancement project lifecycle with external vendor including design, development, testing, deployment, and documentation.
Work with Data Analyst to perform data preparation, cleansing, build optimized data models and visualization in Power BI
Perform proof of concept for cloud data products
Validate data workflows and integration points through rigorous testing (e.g., pipeline validation, schema checks, and performance benchmarking) to ensure solutions meet business and technical requirements.
Create operational playbooks and automation scripts to streamline deployment, monitoring, and troubleshooting, enabling efficient handover and long-term maintainability of data solutions.
Document data pipeline architecture, deployment processes, and operational runbooks to support effective troubleshooting and post-go-live maintenance by internal teams
We are looking for…
Bachelor’s degree in computer science, Information Technology, Data Science or related field.
Related Certification in Cloud Data platform
3+ years of professional experience related to data platform
Understanding of data lifecycle and governance principles (e.g., data quality, lineage, security, and compliance)
Experience in Python, SQL, Spark, Azure Data Factory, Event Hub / Kafka / Event Messaging, Azure Data Lake Storage Gen2, Databricks, Unity Catalog, Power BI
Experience in software development lifecycle (SDLC)
Strong sense of responsibility, self-motivated, committed, strong analytical and problem-solving skills, good interpersonal & communication skills, team player.
If you are interested in sizable project and want to start a new challenging job into public institution industry, please feel free to apply with your full resume, present/expected salary, and availability by click on the 'Apply Now' button.