Data Engineer - Azure, Databricks
Peoplebank HongKong ·www.peoplebank.com.hk
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Summary
You will drive the implementation and optimization of a scalable Azure cloud-based data platform, enhancing enterprise data ingestion, transformation, and storage. By automating ETL/ELT workflows and enforcing data quality checks, your efforts will directly improve data reliability and reduce manual intervention. Your expertise in near real-time analytics will empower strategic decision-making and business intelligence across the enterprise.
Responsibilities
You will drive the implementation and optimization of a scalable Azure cloud-based data platform, enhancing enterprise data ingestion, transformation, and storage. By automating ETL/ELT workflows and enforcing data quality checks, your efforts will directly improve data reliability and reduce manual intervention. Your expertise in near real-time analytics will empower strategic decision-making and business intelligence across the enterprise.
Responsibilities
- Optimize, operate at scale, and enhance Microsoft Azure and Databricks cloud-based data platforms.
- Participate in the full project lifecycle, including design, development, testing, deployment, and documentation alongside external vendors.
- Collaborate with Data Analysts to prepare, cleanse, and build optimized data models and Power BI visualizations.
- Perform proofs of concept for emerging cloud data products.
- Validate data workflows, integration points, pipeline schemas, and performance benchmarks through rigorous testing.
- Create operational playbooks, automation scripts, and technical architecture documentation to streamline deployment and long-term maintainability.
- Bachelor’s degree in Computer Science, Information Technology, Data Science, or a related field.
- At least 3 years’ professional experience focusing on data platform implementations or cloud data migrations.
- Technical proficiency in Python, SQL, Spark, Azure Data Factory, Databricks, Unity Catalog, and Power BI.
- Hands-on experience with Event Hub, Kafka, or event messaging systems, alongside Azure Data Lake Storage Gen2.
- Clear understanding of the software development lifecycle (SDLC), data governance principles, data quality, and security.
- Professional certification in a Cloud Data platform or Databricks Certified Data Engineer is an advantage.
Frequently asked questions
Who is hiring for the Data Engineer - Azure, Databricks role?
Peoplebank HongKong is hiring for the Data Engineer - Azure, Databricks position, a Shazamme client. Apply directly on the employer's career site.
Where is the Data Engineer - Azure, Databricks job located?
The Data Engineer - Azure, Databricks role with Peoplebank HongKong is based in Hong Kong, HK.
What does the Data Engineer - Azure, Databricks role pay?
Peoplebank HongKong lists the Data Engineer - Azure, Databricks role at HKD 35,000–45,000 per year.
Is the Data Engineer - Azure, Databricks role full-time or contract?
This is a full time position at Peoplebank HongKong.
What experience level is the Data Engineer - Azure, Databricks role?
The Data Engineer - Azure, Databricks position is aimed at mid-level candidates.
How do I apply for the Data Engineer - Azure, Databricks role at Peoplebank HongKong?
Apply directly on Peoplebank HongKong's career page via the Apply button on this listing. ZammeJobs links straight through to the employer's ATS — no third-party form, no resume database.