The vacancy lacks clarity in responsibilities and compensation, but has a strong tech stack and aligned requirements.
no company infono salary info
Job description
We are looking for a Senior Data Engineer with extensive experience in data engineering within large corporate environments, proficient in SQL and AWS services.
Requirements
### Requirements
- Deep practical experience in Data Engineering in large corporate environments.
- Expert level proficiency in SQL and understanding of data modeling principles.
- Strong experience with AWS data services (EMR, Glue, Athena, S3).
- Practical skills in Python and Apache Spark.
- Systematic thinking and ability to solve complex infrastructure and data problems.
- Fluent English (written and spoken) for effective communication.
- Stack: Processing: Apache Spark (large-scale data processing).
- Cloud (AWS): EMR, Glue, Athena, S3-based data lakes.
- Languages: Python (ETL, automation), expert SQL.
- Architecture: Data Lakehouse, Cloud Object Storage, Open Table Formats.
- Modeling: Analytical and dimensional data modeling.
- Language: English (B2+ / Fluent) - critically important for pan-Baltic level work.