Data Engineer

About the role

We are looking for a Data Engineer with hands-on knowledge of SQL, Python, and AWS data services. The role will support the development, maintenance, and monitoring of cloud-based data pipelines and data infrastructure. The ideal candidate has a good foundation in data engineering concepts and practical experience working with AWS services such as S3, Redshift, IAM, Glue, and CloudWatch.

Key responsibilities

• Develop and maintain data processing and data integration solutions using SQL and Python.


• Support the development and maintenance of data pipelines within AWS environments.


• Work with AWS S3 for data storage and management.


• Support data warehousing activities using AWS Redshift.


• Work with AWS Glue for data integration, transformation, and ETL processes.


• Manage and support AWS IAM, including roles, users, and policies.


• Monitor data pipelines and AWS resources using AWS CloudWatch.


• Support data synchronization (DataSync) and data transfer activities.


• Troubleshoot data pipeline, integration, and processing issues.


• Perform data validation and ensure data accuracy and consistency.

About you

• Hands-on knowledge of SQL.


• Hands-on programming experience with Python.


• Experience or practical knowledge of AWS S3.


• Experience or practical knowledge of AWS Redshift.


• Understanding of AWS IAM, including roles, users, and IAM policies.


• Experience or knowledge of AWS Glue.


• Familiarity with AWS CloudWatch.


• Experience or knowledge of AWS DataSync / Data Synchronization.


• Good understanding of data engineering and ETL concepts.


• Strong analytical and problem-solving skills.