2 months ago
Bucharest, RomaniaSenior
Responsibilities
- Architect and engineer scalable, cost-efficient, high-performing data infrastructure on AWS.
- Design and optimize ETL/ELT pipelines connecting systems for analytics and decision-making.
- Use AWS CDK for infrastructure provisioning and platform resource management.
- Implement monitoring, alerting, and logging and resolve operational issues.
- Contribute to technical strategy and lead technical initiatives.
- Promote data governance, security, GDPR and CCPA compliance, and data quality.
- Create platform documentation and collaborate with Data Science, Analytics, and Engineering teams.
- Mentor teammates and share engineering knowledge and best practices.
Requirements
- Experience building and operating scalable cloud data platforms, preferably on AWS.
- Knowledge of AWS S3, Glue, Lake Formation, Lambda, Redshift, Step Functions, IAM, and VPC.
- Experience with AWS CDK and strong TypeScript and/or Python skills.
- Understanding of medallion or zoned data lake architectures, Parquet, Delta Lake, and schema evolution.
- Experience with Git, CI/CD, testing, agile engineering practices, and container technologies such as Docker, Kubernetes, ECS, or Fargate.
- Strong SQL skills and hands-on dbt experience are preferred.
- Familiarity with data catalogs, governance tools, and streaming technologies such as Kafka, Kinesis, or Spark Streaming is preferred.
- Strong analytical, communication, collaboration, initiative, ownership, and mentoring abilities.
Benefits
- Hybrid work arrangement in Bucharest with two days per week in the office.
Tech Stack
Categories
Data Engineering
