Data Engineer IV at Jumio: Elevate Your Career with Advanced Data Engineering

Role Purpose:

Are you ready to spearhead innovative data solutions and impact business outcomes directly? As a Senior Manager of Data Engineering at Jumio, you will guide the evolution of our data ecosystem, ensure the development of efficient data frameworks, and foster the adoption of best industry practices in DevOps and CI/CD methodologies. This fully remote role offers the unique opportunity to lead a dynamic team responsible for building scalable data pipelines, optimizing data storage and retrieval, and enhancing data analysis and reporting capabilities across a hybrid cloud environment.

Role Value:

Joining our team means contributing to large, complex data product developments that significantly influence Jumio’s strategic initiatives such as revenue management, billing innovations, customer success, and more. You’ll work closely with cross-functional teams to improve our data products and migrate native cloud data solutions.

Example Role Responsibilities:

• Analyze and enhance the efficiency of data inflows and data quality.
• Optimize data processing and storage procedures within our Data Warehouse.
• Implement policies and best practices for development and production environments.
• Drive automation through continuous integration and continuous deployment best practices.
• Collaborate with Data Quality specialists to establish robust data quality rules.

Relevant Experience and Qualifications:

• 8-12 years of experience in data engineering with a strong background in dataset management and code standard implementations.
• Extensive experience in SQL optimization, Python, PySpark, Scala, and other programming languages.
• Proficiency with big data platforms (e.g., HDFS, Spark, Hive) and familiarity with Jenkins, Unix shell scripting.
• At least 4 years of cloud data engineering experience with platforms like Azure, AWS, or GCP.
• A degree in Computer Science, Engineering, or a related technical field.

Desirable Experience:

Experience with Azure Data Factory, Azure Databricks, and machine learning tools is highly advantageous. Knowledge of the fintech and online identity verification sectors will be beneficial.

Key Characteristics and Attitudes:

Seeking candidates who are energetic, eager to learn, and excel in customer service. You should be collaborative, possess a sense of urgency and ownership, and be resilient and positive.

About Jumio:

Jumio is a leading technology company committed to preventing online identity fraud. Our cutting-edge solutions include AI, biometrics, machine learning, and more, making us a trusted partner across various industries.

Equal Opportunities:

Jumio celebrates diversity and is committed to creating an inclusive environment for all employees. We welcome applicants from all backgrounds and walks of life.

Applicant Data Privacy:

Your personal information will be used solely for recruitment purposes as outlined in Jumio’s Applicant Privacy Notice. Should you have any privacy concerns, feel free to contact us at [email protected].

@Work:

Our office in Prestige Tech Park III is a hub of innovation and learning, continuously setting higher standards in the tech community and fostering a vibrant culture.

Contact Information:

To apply for this transformative role as a Data Engineer IV at Jumio, visit our careers page or submit your application directly through our recruitment portal. Join us and make a significant impact in the fight against online fraud while advancing your career in data engineering!