Cloud Data Engineer Lead

2 weeks ago


Kuala Lumpur, Kuala Lumpur, Malaysia Finexus Group Full time
Job Description

The Finexus Group is seeking a highly skilled Data Infrastructure Developer to lead the design, development, and optimization of our data infrastructure and pipelines. As a Senior Data Engineer, you will be responsible for ensuring data integrity, enabling analytics and machine learning initiatives, and collaborating with cross-functional teams to drive business insights and operational efficiency.

Key Responsibilities
  • Data Pipeline Design and Development: Design, build, and maintain scalable and efficient data pipelines using modern data engineering tools and frameworks.
  • ETL/ELT Process Development: Develop ETL/ELT processes to ingest, transform, and store structured and unstructured data from various sources.
  • Data Orchestration and Automation: Implement and manage data orchestration frameworks to automate, schedule, and monitor data workflows efficiently.
  • Data Performance Optimization: Optimize data storage, retrieval, and processing performance for large-scale datasets.
  • Data Warehouse and Lake Implementation: Design and implement data warehouses and data lakes to support analytics, reporting, and machine learning workloads.
Required Skills and Qualifications
  • Education and Experience: Bachelor's or Master's degree in Computer Science, Data Engineering, or a related field. 5+ years of experience in data engineering, data architecture, or software development with a focus on data solutions.
  • Technical Expertise: Strong experience in on-premises data infrastructure, including storage, networking, and compute resources. Proficiency in programming languages such as Python and Java. Hands-on experience with Kubernetes for container orchestration and workload management.
  • Big Data Processing Frameworks: Strong experience with big data processing frameworks such as Apache Spark, or similar. Knowledge of data orchestration tools like Apache Airflow or similar.


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