Hiring: Data Engineer for Leading Client in Malaysia, KL
Location : Kuala Lumpur (On-site/Hybrid)
Experience Required: 3+ Years
Nationality : Malaysians
About the Role
We are seeking a skilled Data Engineer to design, build, and maintain scalable data pipelines and analytics infrastructure. This role is ideal for someone with strong expertise in ETL development, Azure Databricks, and Power BI, who is passionate about enabling data-driven decision-making.
You will collaborate closely with data analysts, data scientists, and business stakeholders to ensure data is clean, reliable, and accessible across the organization.
Key Responsibilities
- Design, develop, and maintain ETL pipelines for data ingestion, transformation, and loading from multiple data sources
- Build and optimize data workflows using Azure Databricks (PySpark, SparkSQL)
- Develop and maintain data models for analytics and reporting in Power BI
- Implement data quality, validation, and monitoring frameworks
- Translate business requirements into scalable and efficient data solutions
- Support data warehousing and data lake architectures within the Azure ecosystem
- Maintain metadata, data lineage, and documentation
- Optimize pipeline and query performance for scalability and cost efficiency
- Ensure data security, governance, and compliance standards are met
Technology Stack
- ETL Tools: Azure Data Factory, SSIS, Python-based pipelines
- Data Processing: Azure Databricks (PySpark, SparkSQL, Delta Lake)
- Databases: SQL Server, Snowflake, Azure Synapse
- Visualization: Power BI (DAX, data modeling, dashboards)
- Cloud: Microsoft Azure (Data Lake Storage, Synapse, Key Vault, Logic Apps)
Requirements
- Bachelor’s degree in Computer Science, Information Systems, Data Engineering, or related field
- 3+ years of experience in Data Engineering or similar role
- Strong hands-on experience with:
- ETL tools/frameworks
- Azure Databricks (PySpark, SparkSQL, Delta Lake)
- SQL and relational database design
- Power BI (data modeling, DAX, reporting)
- Solid understanding of data modeling, governance, and performance tuning
- Strong analytical, problem-solving, and communication skills
Benefits
Why Join Us?
- Work on modern cloud-based data platforms
- Exposure to cutting-edge technologies like Databricks & AI-driven data solutions
- Opportunity to collaborate with cross-functional teams on impactful projects
- Strong focus on innovation, scalability, and data-driven decision-making
- Salary above market standard
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What We Do
Unison Consulting was launched in Singapore on September 2012, the hub of the financial industry, with innovative visions in the technocratic arena. We are a boutique next-generation Technology Company with strong business-interests in Liquidity risk, Market Risk, Credit Risk and Regulatory Compliance. Unison provides technology consulting and services to implement Risk Management and Risk Analytics System for Financial Institutions. Our services suite comprises of Techno-Functional consulting, systems integration, Business Intelligence, information management, and custom development of IT solutions, plus project management expertise for financial institutions. We have expertise in latest cutting edge technology to achieve better total cost of ownership. Through our qualified professionals, we assist you drive your unique risk management strategies, whether that means efficient monitoring, improving risk appetite of the financial institutions, complying with regulations, or capturing growth opportunities through innovation, this is what maximizes your decision taking potential. At Unison Consulting, we view clients as partners, and our success is only measured by the success of our partners. So we put it all on the table in order to exceed expectations. Our staff consists of young, energetic and innovative consultants who are never afraid to challenge the conventions and push the boundaries in an effort to help our clients. For every project, no matter how large or how small, we strive to not only meet your needs, but deliver a showcase in your field
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