Feedzai is the world’s first RiskOps platform for financial risk management, and the market leader in safeguarding global commerce. The Technical Project Manager will engage with clients to solve technical and analytical problems, design risk management strategies, and collaborate with cross-functional teams to deliver best-in-class risk prevention solutions.
Responsibilities:
- Understand, profile, and assess the quality of raw data from diverse client sources
- Design, build, test and maintain scalable and robust data pipelines for ingestion, transformation, and enrichment
- Implement automated data validation, cleaning, and quality assurance processes
- Collaborate with data scientists to support feature engineering and data preparation workflows
- Optimize performance and cost efficiency of data workflows across cloud and on-prem environments
- Lead discussions with client stakeholders on data architecture, integration, and delivery strategies
- Partner with internal teams (Product, Engineering, Research) to improve platform tooling and reusability
- Mentor and guide junior engineers in best practices, architecture design, and coding standards
Requirements:
- Bsc or MSc or PhD in computer science, software engineering, or related technical field
- Expertise in distributed data processing frameworks (Spark, Hadoop, or similar)
- Strong coding skills in Python or Go or Scala; proficiency in python
- Experience with workflow orchestration tools (e.g., Airflow, Dagster, Prefect)
- Deep understanding of data modeling, warehousing, and ETL best practices
- Familiarity with resource optimization and monitoring at both system and application levels
- Familiarity with modern data stack tools and warehouse technologies (e.g., dbt, Snowflake, BigQuery, Redshift)
- Experience working in cloud environments (AWS, GCP, or Azure) with infrastructure-as-code tools
- Strong communication skills to articulate technical concepts to diverse audiences