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Senior Data Engineer, Zalopay
OfficialDataData Engineering26-ZDS-3527
thành phố hồ chí minh
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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
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