SKILLS AND QUALIFICATIONS

• You understand and can implement data engineering best practices.
• You demonstrate the ability to write clean & efficient code and combine it with the cloud environment for best performance.
• You have a minimum 8 years of development experience within a commercial environment creating production grade data pipelines in python.
• You are looking to grow your skills through daily technical challenges and enjoy problem solving, whiteboarding in collaboration with team.
• You have excellent communication skills, and ability to explain your views clearly to the team and are open to understanding the views of others.
• You have a proven track record to draw from a deep and broad technical expertise to mentor engineers, complete hands-on technical work, and provide leadership on complex technology issues.
• Share your ideas collaboratively via wikis, discussions boards, etc and share any decisions made, for the benefit of others.

• You will actively contribute to the codebase and participate in peer reviews.
• Design and build metadata driven, event based distributed data processing platform using technologies such as Python, Airflow, Redshift, DynamoDB, AWS Glue, S3.
• As an experienced Engineer, you will play a critical role in the design, development, and deployment of our business-critical system.
• You will be building and scaling Creditsafe’s data pipeline primarily moving data between Redshift and S3.
• Execute practices such as continuous integration and deployment using test-driven development where applicable to enable the rapid delivery of working pipelines.
• Understanding company & domain data to make recommendations to improve the existing product.
  The responsibilities detailed above are not exhaustive and you may be requested to take on additional responsibilities deemed as reasonable by their direct line manager.