Senior Data Engineer
- Рівень:
- senior
- Джерело:
- djinni.co
Що робити
- Manage data pipelines from ingestion to ready-to-use analytical models.
- Help scale case detection processes and improve existing services by splitting them into smaller microservices.
- Build, debug, and optimize ETL jobs using AWS Glue, EMR, and Spark.
- Write and improve SQL queries for PostgreSQL/Redshift, and work with DynamoDB where needed.
- Support workflows in AWS ECS Fargate and set up local environments for testing and deployment.
Що очікуємо
- 5+ years of experience as a Data Engineer.
- 2+ years of hands-on production experience with Spark or PySpark.
- 3+ years of experience with the AWS ecosystem (specifically Glue, EMR, S3, and Redshift).
- English: High level (Upper-Intermediate/Advanced) for frequent technical meetings and direct collaboration with the US CTO.
Що пропонуємо
- 20 paid vacation days per year
- 5 paid sick leaves per year (no medical documents required)
- Personalized development plan with training compensation
- English courses compensation
- Work equipment if needed (PC / laptop / monitor)
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