Data Engineer

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

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).
Advanced proficiency in SQL and at least one programming language for data processing (Python, Scala, or Java).
Familiarity with data storage systems such as Snowflake, BigQuery, Redshift, or the Hadoop ecosystem.
Experience with distributed data processing systems (Spark, Flink, Kafka).
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).
Hands- on experience with ETL/ELT tools (Airflow, Talend, dbt, etc.).

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Cập nhật gần nhất lúc: 2026-03-11 05:50:03