Senior Data Engineer (AWS, Spark)
- Рівень:
- senior
- Джерело:
- djinni.co
Що робити
- Design, build, and optimize production data pipelines and data platforms on AWS.
- Build scalable data processing workloads using Spark/PySpark, Python, and SQL.
- Build and modernize data lakes and lakehouse architectures, working with technologies such as Amazon S3, Apache Iceberg, AWS Glue, and related data services.
- Design, troubleshoot, and optimize analytical workloads and data warehouses, including Amazon Redshift and other OLAP platforms.
- Modernize legacy and inefficient data workloads, including moving existing ETL/ELT processing to scalable distributed data architectures.
Що очікуємо
- Strong production experience in Data Engineering, with the ability to independently own and deliver data projects.
- Deep hands-on experience with Apache Spark / PySpark and distributed data processing.
- Strong Python and SQL skills.
- Hands-on experience building data solutions on AWS.
- Strong understanding of data lakes, lakehouse architectures, ETL/ELT, data modeling, and data processing at scale.
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