English summary for screening — check the original posting before applying.
As a Data Engineer, you will support data utilization for major enterprise companies by constructing infrastructure, supporting analysis, and integrating AI. You will work closely with clients on large-scale projects involving tens to hundreds of billions of records, utilizing the latest DWH environments.
Must-haves
- Experience with DWH environments like Snowflake, BigQuery, or Redshift
- Experience with data pipeline construction (ETL/ELT)
- Experience with data analysis and visualization tools
- Experience creating datasets for AI models and feature engineering
Nice-to-haves
- Experience with Airflow, Lambda, or Cloud Run
- Experience with Tableau, Looker, or Amplitude
- Experience with Generative AI/LLM projects
- Experience with RAG
Tech stack
SnowflakeBigQueryRedshiftAirflowLambdaCloud RunTableauLookerAmplitudeGenerative AILLMRAG