Skip to content
getdataengineeringjobs
Back to results

Senior Data Engineer (Databricks and PySpark)

Unison Group
Kuala Lumpur, Federal Territory of Kuala Lumpur, Malaysia Senior Full-time Posted

Summary

Written in English from the original posting

Unison Group is hiring a Senior Data Engineer to build and optimize Databricks, PySpark, and Delta Lake data pipelines for enterprise lakehouse platforms. The role covers ingestion from APIs, SFTP, SharePoint, and cloud sources, workflow automation, performance tuning, data quality, and governance. It requires 5–8+ years of data engineering experience and Mandarin.

Job description

Position : Senior Data Engineer.
Location : Malaysia and Singapore.
Language : Mandarin Language must.
Role : Full Time Perm role + one month Bonus.



Requirements

We are looking for a Senior Data Engineer with strong expertise in Databricks, PySpark, Delta Lake, and cloud-based data pipelines. implement Lakehouse/Medallion architectures, and integrate data from multiple internal and external systems. This role requires strong technical leadership and hands-on architecture experience.

Key Responsibilities

  • Design, build, and optimize data ingestion and transformation pipelines using Databricks, PySpark, and Python.
  • Implement Delta Lake and Medallion architecture for scalable enterprise data platforms.
  • Develop ingestion frameworks for data from SFTP, REST APIs, SharePoint/Graph API, AWS, and Azure sources.
  • Automate workflows using Databricks Workflows, ADF, Azure Functions, and CI/CD pipelines.
  • Optimize Spark jobs for performance, reliability, and cost efficiency.
  • Implement data validation, quality checks, and monitoring with automated alerts and retries.
  • Design secure and governed datasets using Unity Catalog and cloud security best practices.
  • Collaborate with analysts, business users, and cross-functional teams to deliver curated datasets for reporting and analytics.
  • Provide technical leadership and guidance to junior team members.

 

Required Skills

  • 5–8+ years of experience in Data Engineering.
  • Strong hands-on experience with Databricks, PySpark, Delta Lake, SQL, Python.
  • Experience with Azure Data Lake, ADF, Azure Functions, or AWS equivalents (S3, Lambda).
  • Experience integrating data from APIs, SFTP servers, vendor data providers, and cloud storage.
  • Knowledge of ETL/ELT concepts, Lakehouse/Meddalion architecture, and distributed processing.
  • Strong experience with Git, Azure DevOps CI/CD, and YAML pipelines.
  • Ability to optimize Spark workloads (partitioning, caching, Z-ordering, performance tuning).

 

Good to Have

  • Exposure to Oil & Gas or trading analytics (SPARTA, KPLER, IIR, OPEC).
  • Knowledge of Power BI or data visualization concepts.
  • Familiarity with Terraform, Scala, or PostgreSQL.
  • Experience with SharePoint development or .NET (optional)

The weekly Digest

The week's most transparent data engineering jobs in your inbox once a week.

Once a week, a few new jobs that state their salary, location and stack, plus links to the rest. No open tracking; clicks are counted per issue, not per person. Unsubscribe with one click.

Similar jobs

Unison Group Apply