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A leading data solutions company in Malaysia is seeking a Data Engineer with 4-8 years of experience. You will be responsible for designing and maintaining data pipelines using GCP services, optimizing data models, and ensuring data quality. Strong SQL and Python skills are essential. The company offers benefits including a 13th Month Bonus and staff insurance.
13th Month Bonus
Staff Insurance Provided
Pipeline Development: Design, build, and maintain batch and streaming data pipelines using GCP services such as BigQuery, Dataflow, Dataproc, Composer, Dataform, and Cloud Functions.
Data Modeling & Optimization: Implement and optimize data models in BigQuery to support analytics, BI reporting, and machine learning workloads.
Data Integration: Connect and transform data from multiple sources, including APIs, databases, event streams, and flat files.
Platform Reliability: Monitor and troubleshoot data pipelines, ensuring high availability, scalability, and cost efficiency.
Governance & Quality: Implement data validation, quality checks, and security best practices to ensure trusted data.
Collaboration: Work closely with analysts, BI developers (Tableau, MicroStrategy), and business teams to enable reporting and self-service analytics.
Legacy Support (Light): Provide occasional support for legacy systems (Oracle, MicroStrategy) where needed, focusing on data extraction and gradual modernization.
Experience: 4 – 8 years of hands‑on experience in data engineering, ETL/ELT development, or related roles.
Data Modeling: Understanding of relational, dimensional, and modern data modeling concepts, with an eye for performance optimization.
Cloud Knowledge: Exposure to Azure Data Stack (Synapse, Data Factory, Databricks) is a plus.