Data Engineering Role
This role requires a skilled Data Engineer to design and implement an AWS Serverless DataLake architecture for efficient data processing.
* Design and implement data ingestion pipelines using AWS Lambda, Glue, or similar serverless technologies.
* Collaborate with data scientists and analysts to understand their data requirements.
* Optimize data storage mechanisms, leveraging AWS services like S3, Athena, Redshift, or DynamoDB.
* Mentor junior data engineers to foster growth and adherence to best practices.
Key Responsibilities
* Developing and maintaining large-scale data processing systems.
* Designing and implementing data models and schemas in the DataLake.
* Leveraging AWS services for high-performance data access.
* Providing technical guidance to team members.
Requirements
* 5+ years of experience working as a Data Engineer with AWS expertise.
* Experience with AWS services such as S3, Lambda, Glue, Athena, Redshift, and DynamoDB.
* Strong programming skills in languages like Python, Java, or Scala, along with SQL knowledge.