English summary for screening — check the original posting before applying.
As a Data Engineer, you will play a central role in supporting clients' data-driven management by designing, building, and operating data infrastructure (DWH, ETL, Data Lake) in cloud environments. This role offers opportunities to work with a wide range of areas including the latest data platforms like Snowflake, BigQuery, and Databricks, as well as ETL/ELT pipelines and real-time data processing.
Must-haves
- Experience in designing, building, and operating data infrastructure (DWH, Data Lake)
- Experience with cloud data warehouses such as Snowflake, BigQuery, or Databricks
- Experience in designing and implementing data pipelines (ETL/ELT)
- Experience in designing and implementing streaming data processing (e.g., Kafka, Pub/Sub)
- Experience in designing secure environments on cloud infrastructure (AWS, GCP, Azure)
Nice-to-haves
- Experience in data quality management and governance design
- Experience in building dashboards and providing data in collaboration with BI/analytics teams
Tech stack
SnowflakeBigQuery