Job Title
A Data Engineer position is available, requiring expertise in designing and implementing serverless architectures.
* Design and implement:
* Data ingestion pipelines to transfer data from various sources into the DataLake
* Data transformation processes using AWS Lambda, Glue, or similar technologies for quality and consistency
* Data storage and retrieval mechanisms leveraging AWS services such as S3, Athena, Redshift, or DynamoDB for high-performance access
Key Skills and Qualifications
* AWS technologies and serverless architectures
* Data integration and ETL tools such as AWS Glue or Apache Spark
* Data modeling techniques and data warehousing concepts including star and snowflake schemas
About the Role
This role requires collaboration with data scientists and analysts to understand their data requirements and design appropriate data models and schemas in the DataLake. A strong focus on delivering high-quality solutions is necessary, along with experience working with large volumes of data and optimizing data processing workflows.