A fast-growing fintech AI start up company, creating a fraud-free global commerce ecosystem, helping online businesses focus on growth, is looking for Senior Data Engineer to join her growing data team.

In this roll, you will build innovative, high-impact solutions that fight fraud and protect their customers’ revenue.

Who They’re Looking For - The Dream Maker

They are looking for an experienced Senior Data Engineer to join their growing data team. The candidate will help build a cutting-edge solution to combat fraud, leveraging modern data architectures and cloud technologies. Their goal is to provide clients with strong safeguards against chargebacks, protecting revenue and optimizing profitability. Join them in redefining the fight against fraud.

Responsibilities

• Build and maintain scalable data pipelines and ETL processes.
• Design complex data models and optimize data architecture.
• Collaborate with teams to deliver high-quality, compliant solutions.
• Troubleshoot production issues and implement best practices.
• Recommend new technologies to enhance the data infrastructure.
  
  

Requirements:

Must Haves:

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

Nice to Haves / Advantage:

• Apache Iceberg, Apache Spark, or modern data stack tools (DBT, DuckDB, Dagster, Airflow, Prefect)
• Backend system design: RESTful APIs, microservices, event-driven systems, RabbitMQ, Kafka
• Containerization & IaC: Docker, Kubernetes, Terraform
• Stream processing: Kafka, Flink
• Knowledge of compliance (GDPR, CCPA)
• Mentoring or leading small teams
• Excellent communication and ability to explain technical concepts clearly
• Relevant cloud or data certifications