Senior Data Engineer (Data Platform, AWS + Snowflake)
Location: Bucharest
Department: Data
Location Type: HYBRID
Employment Type: FULL_TIME
- Design, build, and maintain data ingestion pipelines using AWS services (S3, Kinesis, Firehose, Lambda) and Snowflake features (Snowpipe, Snowpipe Streaming, auto-ingest).
- Define and implement data contracts and SDKs for consistent and reliable data integration across teams and systems.
- Collaborate with Analytics Engineers to ensure well-modeled, high-quality data in Snowflake.
- Optimize data pipeline performance, cost, and reliability, ensuring efficient use of cloud resources.
- Contribute to the client’s CI/CD, monitoring, and data observability frameworks - including lineage, testing, and alerting.
- Partner with platform and infrastructure teams to evolve our modern data stack and shared data services.
- 3+ years of experience in data engineering or data platform roles.
- Strong Python and SQL skills; experience with data ingestion frameworks and event-driven architectures.
- Hands-on experience with AWS (S3, Kinesis, Firehose, Lambda) and Snowflake (Snowpipe, Streams, Tasks).
- Familiarity with CI/CD, infrastructure as code (Terraform), and Git-based workflows.
- Solid understanding of data modeling, ELT workflows, and modern data platform design principles.
- Pragmatic problem-solver with a focus on scalability, reliability, and cost efficiency.
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