Senior Data Engineer I

Product Overview

Outseer Fraud Manager is an advanced, omnichannel fraud detection hub that provides risk-based, multi-factor authentication for organizations seeking to protect their consumers from fraud across digital channels. Powered by the AI/ML based Risk Engine, Outseer Fraud Manager is designed to measure the risk associated with a user’s login and post-login activities by evaluating a variety of risk indicators. Using powerful machine learning and fine-grained policy controls, this anti-fraud hub only requires additional assurance, such as out-of-band authentication and transaction signing, for scenarios that are elevated risk and/or violate rules established by an organization. This methodology provides transparent authentication for most of the users, ensuring a frictionless end user experience and high fraud detection rates.

The data science team at Outseer works to create predictive models that protect people from identity and payment fraud. As a Senior Data Engineer within Outseer you will work on our core risk engine development team, collaborating closely with our data sciences team to support and enhance our risk models. Utilizing Java, Python, and Unix technologies, our platform is robust and highly effective.

Essential Duties

• Agile Development: Engage in the full product lifecycle, including planning, design, development, testing, and project delivery, adhering to our standards.
• Cloud and On-Premises Work: Work with both Azure cloud platform and on-premises environments.
• Documentation: Create and present Software Requirement Specifications (SRS) and high-level design documents.
• ETL and Data Pipelines: Design and implement ETL processes and data pipelines for analytics and data warehousing.
• Application Development: Develop applications and tools to support the development, testing, and monitoring of analytics pipelines.
• Proof of Concept (POC): Conduct POC experiments on new ideas and techniques.
• Data Quality: Perform data quality analysis, monitoring, and cleaning.
• Pipeline Support: Support the testing, deployment, and production activities of data pipelines across multiple platforms.
• Team Collaboration: Review and provide feedback on the work of other team members.

Desired Requirements

• Bachelors Degree or equivalent in Computer Science.
• Designing, implementing, running, and monitoring data pipelines and cloud engineering via Terraform, Bicep etc. 
• Designing ETL flows for machine learning and analytical workflows.
• Data stack of at least one cloud provider, preferably Azure.
• SQL Proficiency
• Pipeline Tools, such as Airflow, Azure Data Factory, Synapse, or similar tools.
• Scientific Python stack, including pandas, numpy, and pyspark.
•  Take ownership of large development tasks and lead them. 
•  Desire and ability to learn new techniques and languages to solve new problems. 
• Excellent verbal and written English.

Desired Behaviors

• Adaptability: Demonstrates flexibility and openness to change. Actively seeks and adopts improved approaches and processes.
• Proactive Action: Takes initiative and is driven by results. Takes ownership of actions and outcomes, meeting commitments and striving for high performance.
• Effective Workload Management: Makes timely decisions, prioritizes tasks effectively, solves problems, monitors results, and takes corrective action when necessary.
• Technical Proficiency: Possesses a solid understanding of their role and responsibilities, demonstrating competence in performing tasks and utilizing relevant technical skills.
• Continuous Learning: Takes personal responsibility for learning and development. Recognizes personal strengths and areas for improvement, actively seeks feedback, and embraces opportunities to learn.
• Effective Communication: Demonstrates strong facilitation and written communication skills. Clearly articulates ideas and proposals, actively listens to colleagues' perspectives, and values diverse viewpoints.
• Collaboration: Shares information, fosters teamwork, and contributes to a positive work environment. Actively collaborates with others and encourages a sense of unity and cooperation among team members.
• Ethical Conduct and Competence: Acts with integrity and intent, displaying ethical character in all actions. Takes accountability for one's own behavior and aligns actions with the company's values and principles.
• Good Citizenship: Represents the values and interests of Outseer. Acts as a positive ambassador for the company and contributes to the overall well-being and success of the organization.

Outseer is committed to the principle of equal employment opportunity for all employees and to providing employees with a work environment free of discrimination and harassment. All employment decisions at Outseer are based on business needs, job requirements and individual qualifications, without regard to race, color, religion or belief, national, social or ethnic origin, sex (including pregnancy), age, physical, mental or sensory disability, HIV Status, sexual orientation, gender identity and/or expression, marital, civil union or domestic partnership status, past or present military service, family medical history or genetic information, family or parental status, or any other status protected by the laws or regulations in the locations where we operate. Outseer will not tolerate discrimination or harassment based on any of these characteristics. Outseer encourages applicants of all ages.