Senior Data Engineer

Responsibilities:

• Craft client code that is not just efficient, but also performant, testable, scalable, secure, and of the highest quality.
• Provide accurate status tracking, reporting, and estimation using project methods and tools.
• Gather requirements, validate their understanding amongst the team, create and maintain relevant documentation.
• Execute activities within current methodology and upholding the highest quality standards.
• Foster collaboration with fellow engineers, designers, and managers to comprehend user pain points and iterate on solutions that drive client success.

Qualifications:

• Minimum 5 years of experience in data engineering or a related field.
• Strong proficiency in Python programming language.
• Deep understanding of AWS services, including Kinesis, S3, Athena, Redshift, DynamoDB, and Lambda.
• Experience with data ingestion pipelines, ETL processes, and data warehousing concepts.
• Experience with data modeling and schema design.
• Experience with data security and privacy best practices.

Key Skills:

• Communication.
• Teamwork.
• Problem solving.
• Initiative and enterprise.
• Planning and organising.
• Self-management.
• Learning.
• Technology.