About the job

About CreditsafeWith the largest owned database supported by a partner network, Creditsafe provides data on 320 million companies in over 100 countries to support its customers in this regard. Creditsafe is scaling business and currently going through a significant growth stage. Being a data company, Creditsafe collects and processes large amounts of complex data, received from multiple channels with the only purpose of serving our clients with opportunities to gain actionable insights. Our holistic data aggregation helps our clients to fill the knowledge gaps, influence decision making, and find hidden patterns.

About OpportunityThis opportunity is to join a team of highly technically skilled engineers who are designing Creditsafe’s new data platform with data quality, data lineage, and auditability as the primary goals whilst maintaining high throughput and scalability. The data platform will be built using AWS infrastructure such as S3, Iceberg, Aurora, DynamoDB, Lambda, Fargate, ECS, Airflow, Spark. The platform is expected to manage over one hundred million objects with a high volume of daily updates handling addition, deletion, and correction of our data and indexes in an auditable manner. The platform will employ a sophisticated matching algorithm to enable us to assign incoming updates to existing objects. Our data processing application is entirely based on Python and designed to efficiently transform incoming raw data volume into API consumable schema. The team is also building highly available and low latency APIs to enable our clients with faster data delivery.

• What you will be doing?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, Spark, Airflow, Iceberg, 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 pipelines combining batch and streaming approaches and targeting sub-100ms latency serving.
• Understanding domain data to make recommendations to improve the existing product.
• Employing various AI tools such as Perplexity, Cursor, CoPilot, etc to aid in all aspects of your work

• What are we looking for?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.
• Proven experience of development experience within a commercial environment creating production grade data pipelines in python.
• We appreciate someone that is 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.
• You share your ideas collaboratively via wikis, discussions boards, etc and share any decisions made, for the benefit of others.
• Be able to take ownership of end-to-end deliverables from planning all the way to production.