Data Engineer
Ubicación Petaling Jaya, Selangor, Malasia Fecha de publicación 18 agosto 2026 ID de la oferta 22983- Contribute to the development of the enterprise data lake/lakehouse using modern technologies (Databricks, Snowflake).
- Build and maintain data integration pipelines for batch and streaming data between internal systems, external partners and cloud services.
- Implement ETL/ELT and reverse ETL processes to support analytics, reporting and AI/ML workloads.
- Develop, optimize, and maintain scalable data pipelines for structured, semi structured, and unstructured data.
- Monitor, troubleshoot, support and resolve any issues with data pipelines and data availability.
- Automate ingestion, transformation, and distribution workflows using orchestration tools.
- Create and maintain metadata catalogs, data lineage and feature stores.
- Collaborate closely with cross-functional teams and business stakeholders to understand data requirements and deliver efficient technical solutions.
- Evaluate and adopt new tools and technologies to improve platform performance, cost management and engineering practices.
- Follow best-in-class development, testing, and documentation standards, especially also using CI/CD pipelines.
- Apply and maintain data quality rules ensuring accuracy, completeness, and consistency across pipelines.
- Ensure adherence to security, compliance, and data protection standards.
- Bachelor’s degree in Computer Science, Engineering, Information Systems, or equivalent technical field.
- 3+ years of hands-on experience in data engineering or a similar role.
- Strong experience with:
- Data processing frameworks: Apache Spark, Snowflake, Databricks
- Data storage technologies: Lakehouse/Delta Lake, data lakes
- Programming languages: Python, SQL
- Solid understanding of data modeling, ETL/ELT, and data warehousing principles.
- Experience with orchestration tools (e.g., Airflow, Prefect).
- Familiarity with cloud platforms (preferably Azure).
- Experience with metadata management tools.
- Strong analytical and problem solving skills.
- Ability to work collaboratively in a cross-functional environment.
- Good communication and documentation skills.
- Commitment to high-quality work, data security, and continuous improvement.
- Medical Coverage (Spouse and children)
- Dental Coverage (Spouse and children)
- Life Insurance Plan
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