Senior Data Engineer

Design Data Warehouse/Data Lake/Data Lakehouse architectures to meet analytics and big data processing requirements while maintaining data infrastructure.
Implement high- performance data storage solutions (Snowflake, BigQuery, Redshift, Hadoop, Spark).
Support Data Analysts and Data Scientists by providing clean, complete, and timely datasets.
Ensure data security, integrity, and compliance with regulations (GDPR, ISO 27001, etc.).
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.).
Optimize query performance while maintaining data integrity and security.
Propose improvements to data infrastructure for cost efficiency and performance optimization.

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

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Cập nhật gần nhất lúc: 2025-11-03 13:05:03