Data Engineer
Design and implement an efficient Serverless DataLake architecture to handle large data volumes and support various data workflows.
* Develop data ingestion pipelines and integration processes.
* Implement data transformation and enrichment processes using AWS Lambda, Glue or similar serverless technologies.
* Collaborate with data scientists and analysts to understand their data requirements.
The ideal candidate will have extensive experience working as a Data Engineer, with a strong focus on AWS technologies and serverless architectures. They should also have in-depth knowledge of AWS services such as S3, Lambda, Glue, Athena, Redshift and DynamoDB.
Required Skills:
* AWS technologies and serverless architectures.
* Programming skills in languages like Python, Java or Scala.
* Experience with data integration and ETL tools.
* Familiarity with data modeling techniques and data warehousing concepts.
We are looking for a talented individual who can design and implement a scalable Serverless DataLake architecture.
The successful candidate will have the following qualifications:
* Extensive experience working as a Data Engineer.
* Strong focus on AWS technologies and serverless architectures.
* In-depth knowledge of AWS services such as S3, Lambda, Glue, Athena, Redshift and DynamoDB.
This is a great opportunity for someone who wants to work with cutting-edge technology and make a significant impact.