Transform your career in data engineering with us. A challenging role is waiting for you.
We are looking for a skilled Data Engineer who wants to learn and grow in their career.
In this role, you will design and implement an AWS Serverless DataLake architecture to efficiently handle large volumes of data and support various data processing workflows.
Develop data ingestion pipelines and integration processes, ensuring the smooth and reliable transfer of data from various sources into the DataLake.
Implement data transformation and enrichment processes using AWS Lambda, Glue, or similar serverless technologies to ensure data quality and consistency.
Collaborate with data scientists and analysts to understand their data requirements and design appropriate data models and schemas in the DataLake.
Optimize data storage and retrieval mechanisms, leveraging AWS services such as S3, Athena, Redshift, or DynamoDB, to provide high-performance access to the data.
Monitor and troubleshoot the DataLake infrastructure, identifying and resolving performance bottlenecks, data processing errors, and other issues.
Continuously evaluate new AWS services and technologies to enhance the DataLake architecture, improve data processing efficiency, and drive innovation.
Mentor and provide technical guidance to junior data engineers, fostering their growth and ensuring adherence to best practices.
Collaborate with cross-functional teams to understand business requirements, prioritize tasks, and deliver high-quality solutions within defined timelines.