- Job Type: Full-Time
- Function: Data Science
- Industry: FinTech
- Post Date: 06/23/2022
- Website: trulioo.com
- Company Address: 1055 West Hastings Street Floor 12, Vancouver, BC, V6E 2E9
About TruliooTrulioo offers the most robust and comprehensive global identity verification solution in the market. Through one single portal/API, Trulioo can assist you with all your AML/KYC identity verification requirements by providing secure access to over 5 billion identities worldwide. Trulioo’s mission is to create products that solve online identity verification challenges in a way that is accessible to both SME and large enterprise customers.
At Trulioo, we build and connect digital identity networks around the globe, and this framework of trust empowers businesses to assess the various risks associated with digital identities. Our mission is to build trust online. Digital services hold the promise of allowing anyone to interact and transact with anyone, anywhere. However, the threat of bad actors gets in the way of our connectedness; the global village only works if we trust each other.
We are a Silicon Valley-funded tech company solving the problems of trust and safety online. To realize that goal we’ve built the world’s leading identity verification platform, enabling instant verification of 5 billion people and 250 million businesses in more than 100 countries. With offices in Vancouver, San Diego, Austin, and Dublin, we’ve fostered a world class team committed to building trust online. Our competitive advantage is, and always will be, our people. At Trulioo, we truly believe “everyone is someone” and we invite you to join our mission and celebrate the positive change we are making in the world.
The Data Engineer is responsible for partnering with business and technical stakeholders to design, build, maintain and monitor the data infrastructure to support analytics, reporting and data science initiatives. This can include building ETL/ELT processes and data pipelines, designing business focused data warehouse schemas, monitoring for data quality issues or pipeline disruptions, as well as looking for areas of opportunity to improve performance.
This role will report into the VP Engineering. This is a full-time position located in our San Diego office.
What you'll be doing:
⦁ Collaborate with business analysts, data scientists and appropriate stakeholders to improve existing data models that support internal reporting, analytics, business intelligence and data science initiatives, with the goal of increasing data accessibility.
⦁ Work with data driven teams to understand business requirements for new projects.
⦁ Design and build ETL/ELT processes and data pipelines.
⦁ Collaborate with our DevOps and Development teams to deploy data pipelines and content to production, following CI/CD processes.
⦁ Monitor data pipelines and tables for data quality and implement fixes when necessary.
⦁ Support Business Analysts by building automated processes for timely and highly available reports.
⦁ Champion best practices in coding and data governance, such as clean coding, maintaining data dictionaries, catalog data definitions and standards etc.
⦁ A proven problem solver who enjoys building something from the ground up
⦁ Exceptional attention to detail
⦁ A team player who enjoys collaboration and bringing out the best in those around them
⦁ Hand on experience in AWS cloud, Serverless and Microservice architectures
⦁ Experience developing distributed cloud applications using C#, Python or other programming languages
⦁ CI/CD experience with BitBucket, CodeDeploy, Teamcity etc.
⦁ Bachelor degree in Computer Science, Engineering or other STEM field, or comparable combination of education, training and experience.
⦁ 3+ years of experience with AWS Cloud Services
⦁ AWS Associate Solutions Architect
⦁ AWS Data certifications (Data Analytics Specialty, Database Specialty, Machine Learning Specialty)
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Working at Trulioo