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Data Engineer

CÔNG TY TNHH BẢO HIỂM NHÂN THỌ MB AGEAS

Tòa nhà MB 21 Cát Linh, Phường Ô Chợ Dừa, Hà Nội

Posted date:

Experience

5 - 0 Years

Job level

Experienced (Non - Manager)

Salary

Job Descriptions

  • Design Data Warehouse/Data Lake/Data Lakehouse architectures to meet analytics and big data processing requirements while maintaining data infrastructure.
  • Build, optimize, and monitor ETL/ELT pipelines (batch and streaming) to collect and process data from multiple sources.
  • Integrate data from various sources (DB, API, Cloud services, IoT, etc.).
  • Implement high-performance data storage solutions (Snowflake, BigQuery, Redshift, Hadoop, Spark).
  • Ensure data security, integrity, and compliance with regulations (GDPR, ISO 27001, etc.).
  • Optimize query performance while maintaining data integrity and security.
  • Support Data Analysts and Data Scientists by providing clean, complete, and timely datasets.
  • Propose improvements to data infrastructure for cost efficiency and performance optimization.

Job Requirement

  • Bachelor’s degree in IT, Data Science, or related fields.
  • Minimum 5 years of experience in Data Engineering or Backend development with a focus on data processing.
  • Advanced proficiency in SQL and at least one programming language for data processing (Python, Scala, or Java).
  • Hands-on experience with ETL/ELT tools (Airflow, Talend, dbt, etc.).
  • Experience with distributed data processing systems (Spark, Flink, Kafka).
  • Experience working with real-time data (Kafka, Spark Streaming).
  • Experience deploying data pipelines on cloud platforms (AWS/GCP/Azure).
  • Strong understanding of data modeling (star schema, snowflake schema, data vault).
  • Familiarity with data storage systems such as Snowflake, BigQuery, Redshift, or the Hadoop ecosystem.

More Information

  • Age: Unlimited
  • Type of employment: Permanent

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