- 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.
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
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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