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)

Senior Data Engineer (Databricks and Pyspark)