Data Engineer

About the role

We are looking for a Junior 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.