Who We're Looking For - The Dream Maker We're in search of an experienced and skilled Data Engineer to join our growing data team. As part of our data team, you'll be at the forefront of crafting a groundbreaking solution that leverages cutting-edge technology to combat fraud. The ideal candidate will have a strong background in designing and implementing large-scale data solutions, with the potential to grow into a leadership role. This position requires a deep understanding of modern data architectures, cloud technologies, and the ability to drive technical initiatives that align with business objectives.

Our ultimate goal is to equip our clients with resilient safeguards against chargebacks, empowering them to safeguard their revenue and optimize their profitability. Join us on this thrilling mission to redefine the battle against fraud.

Your Arena

• Design, develop, and maintain scalable, robust data pipelines and ETL processes
• Architect and implement complex data models across various storage solutions
• Collaborate with R&D teams, data scientists, analysts, and other stakeholders to understand data requirements and deliver high-quality solutions

Requirements:

What It Takes - Must haves:

• 5+ years of experience in data engineering, with specific, strong proficiency in Python & software engineering principles - Must
• Extensive experience with AWS, GCP, Azure and cloud-native architectures - Must
• Deep knowledge of both relational (e.g., PostgreSQL) and NoSQL databases - Must
• Designing and implementing data warehouses and data lakes - Must
• Strong understanding of data modeling techniques - Must
• Expertise in data manipulation libraries (e.g., Pandas) and big data processing frameworks - Must
• Experience with data validation tools such as Pydantic & Great Expectations - Must
• Proficiency in writing and maintaining unit tests (e.g., Pytest) and integration tests - Must

Advantages:

• Modern data stack tools- DBT, DuckDB, Data orchestration tools (e.g., Apache Airflow, Dagster) - Advantage
• Designing and developing backend systems, including- RESTful API design and implementation, microservices architecture, event-driven systems, RabbitMQ, Apache Kafka - Advantage
• Containerization technologies- Docker, Kubernetes, and IaC (e.g., Terraform) - Advantage
• Stream processing technologies (e.g., Apache Kafka, Apache Flink) - Advantage
• Understanding of compliance requirements (e.g., GDPR, CCPA) - Advantage

Our Story Chargeflow is a leading force in fintech innovation, tackling the pervasive issue of chargeback fraud that undermines online businesses. Born from a deep passion for technology and a commitment to excel in eCommerce and fintech, we've developed an AI-driven solution aimed at combating the frustrations of credit card disputes. Our diverse expertise in fintech, eCommerce, and technology positions us as a beacon for merchants facing unjust chargebacks, supported by a unique success-based approach.

Propelled by nearly $20 million funding round led by OpenView Venture Partners and key fintech investors, Chargeflow has embarked on a product-led growth journey. Today, we represent a tight-knit community of passionate individuals and entrepreneurs, united in our mission to revolutionize eCommerce and fight against chargeback fraud, marking us as pioneers in protecting online business revenues.