As a Data Engineer, you will play a pivotal role in our team's success by designing and implementing scalable data processing systems using AWS technologies and serverless architectures.
With 5+ years of experience in data engineering, you will have the opportunity to work on high-impact projects that drive business growth.
Key Responsibilities:
* Develop an efficient AWS Serverless DataLake architecture to handle large volumes of data and support various data processing workflows;
* Create data ingestion pipelines and data integration processes to ensure smooth and reliable data transfer from various sources into the DataLake;
* Implement data transformation and enrichment processes using AWS Lambda, Glue, or similar serverless technologies to maintain data quality and consistency;
* Collaborate with data scientists and analysts to understand their data requirements and design suitable 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;
Benefits
* Opportunity to work on high-impact projects driving business growth;
* Chance to collaborate with data scientists and analysts;
* Experience in designing and implementing scalable data processing systems;
* Knowledge of AWS technologies and serverless architectures.