Senior Data Engineer(Databricks and Azure)

Unison Group; Kuala Lumpur; On-site; MYR 80,000 - 120,000; Full time

Job summary

A leading data services firm in Kuala Lumpur is seeking a Senior Data Engineer with expertise in Databricks and Azure. The role involves designing scalable ETL/ELT solutions, implementing Medallion architectures, and leading data integration from various sources. Ideal candidates will have 5–8+ years in data engineering, strong skills in Databricks, PySpark, and cloud data pipelines. An opportunity to work in a dynamic environment that values innovation and collaboration awaits the right candidate.

Qualifications

• 5–8+ years of experience in Data Engineering.
• Strong hands-on experience with Databricks, PySpark, Delta Lake, SQL, Python.
• Experience with Azure Data Lake and AWS equivalents.

Responsibilities

• Design, build, and optimize data ingestion and transformation pipelines.
• Implement Delta Lake and Medallion architecture.
• Develop ingestion frameworks for data from APIs, SFTP, and cloud sources.

Skills

Data Engineering

Databricks

PySpark

Delta Lake

SQL

Python

Azure Data Lake

Git

Git, Azure DevOps CI/CD

Tools

Azure Functions

Terraform

Power BI

Job description

Senior Data Engineer(Databricks and Azure)

We are looking for a Senior Data Engineer with strong expertise in Databricks, PySpark, Delta Lake, and cloud-based data pipelines. The ideal candidate will design and build scalable ETL/ELT solutions, 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).

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