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Senior Data Engineer, Zalopay

OfficialDataData Engineering26-ZDS-3527
locationThành phố Hồ Chí Min...
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Mô tả công việc

We are looking for a passionate and detail-oriented Data Engineer to join our team. In this role, you will contribute to developing scalable internal data tools and modern data platform components. You will help build a robust data infrastructure that powers analytics across the organization.

Key Responsibilities

  • Collaborate in designing and implementing scalable data platform components, including Data Warehouse, Data Lake, and Feature Store
  • Participate in the deployment, automation, and monitoring of data platform infrastructure
  • Design, implement, and maintain efficient ETL data pipelines
  • Develop and support internal web-based tools for data access and operations
  • Work closely with data analysts, scientists, and engineers to understand data requirements and ensure high data quality
  • Continuously research and evaluate new tools, frameworks, and technologies related to data engineering

Yêu cầu

  • Background in Computer Science, Data Engineering, or a related technical field
  • At least 2 years of experience in a data engineering or related role.
  • Hands-on experience with Apache Spark for distributed data processing
  • Familiarity with Apache Airflow for data workflow orchestration
  • Understanding of Hadoop ecosystem and large-scale data processing frameworks
  • Strong knowledge of Data Warehouse (e.g., star schema, snowflake schema) and Data Lake concepts
  • Basic understanding of RDBMS and NoSQL databases, and ability to write simple to moderately complex SQL queries
  • Familiarity with Unix environments, distributed computing, and version control systems (e.g., Git)
  • Familiarity with CI/CD pipelines, Docker, and infrastructure-as-code tools such as Terraform or Ansible
  • Basic experience developing internal web-based tools, with a focus on frontend development using ReactJS

Soft Skills:

  • Strong collaboration and problem-solving skills, with a proactive approach to working with cross-functional teams.
  • Ability to manage time effectively and prioritize tasks in a fast-paced environment.
  • Willingness to learn and adapt to new tools, technologies, and business needs

Nice to have:

  • Experience with cloud platforms such as AWS, GCP, or Azure
  • Knowledge of feature engineering and ML pipelines
  • Exposure to tools like dbt, Trino, Starrock, Datahub,
  • Awareness of data governance and security best practices