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A leading data solutions company in Malaysia is seeking a skilled Data Engineer with 5-8 years of experience. The role involves designing and maintaining data pipelines, optimizing data models, and integrating data from various sources using GCP services. Ideal candidates will have strong SQL and Python skills, along with experience in GCP Data Stack technologies. The position offers opportunities for collaboration with diverse teams and a focus on data governance and quality.
13th Month Bonus
Staff Insurance Provided
Key Responsibilities:
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.
Key Requirements:
Experience: 5- 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.
Your application will include the following questions: