Req No.
2021-10040
# of Openings 1
Job Locations US
Posted Date 2 months ago(4/22/2021 6:37 PM)
Category Hidden (8723)
Company Overview
ABOUT OPORTUN
Oportun (Nasdaq: OPRT) is a financial services company that leverages its digital platform to provide responsible consumer credit to hardworking people.
Using A.I.-driven models that are built on 15 years of proprietary customer insights and billions of unique data points, Oportun has extended more than 4 million loans and over $10 billion in affordable credit, providing its customers with alternatives to payday and auto title loans.
In recognition of its responsibly designed products which help consumers build their credit history, Oportun has been certified as a Community Development Financial Institution (CDFI) since 2009.
OPORTUN’S IMPACT
Oportun is able to provide affordable and responsible loans to traditionally unserved consumers, and score 100%of its loan applicants.
Since its first loan in 2006, Oportun has saved its customers more than $1.8 billion in interest and fees when compared to other options typically available to people with little or no credit history.
By reporting repayment performance to the major credit bureaus, the company has also helped more than 890,000 people begin to establish a credit history.
Overview
Oportun’s Data Analytics Platform team builds the systems and tools that power our big data platform.
Our infrastructure provides Oportun with the analytics capabilities required for a rapidly expanding set of use cases across the business.
As a Cloud Data Engineer, you will be an integral part of the cloud data team.
Joining a team within the Cloud Infrastructure organization, this engineering role is a key member responsible for building our enterprise data analytics platform.
A successful candidate will have a deep interest in the infrastructure, architecture, and reliability of the platform.
Qualifications
You have 5+ years experience in Software Engineer, Data Engineering, or similar with an emphasis on infrastructure Experience with data analytics platforms of the major cloud providers utilizing cloud-native solutions.
The Data Engineer must have experience working in Cloud environments, specifically AWS and GCP, with strong basic knowledge of major cloud components such as: roles, compute, database, object storage, horizontal & vertical scaling Operational knowledge of CI/CD pipelines, Git, Ansible, Terraform, Python, and Agile.
Ability to solve complex issues with re-usable frameworks Great communication skills Ability to quickly learn technologies such as Terraform, Kubernetes, Apache Beam, and Kafka
Additional Skills Preferred:
Familiarity with industry standards for Jupyter notebooks, data modeling, base analytics, and collaboration requiring large cloud based datasets Experience working with container engines such as GKE or EKS Experience working with cloud scheduling solutions, such as Airflow Experience working with cloud scheduling solutions, such as Airflow What you’ll need to be successful:
– Expertise with Relational Databases such as Teradata, Oracle, Redshift and Postgres
– Expertise in SQL, stored procedures and functions Experience in Data Science and Machine Learning
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Responsibilities
Supporting the growth of the data analytics platform, including, but not limited to AWS & GCP tools for Map Reduce, Object storage, data warehouses and marts, utilizing automation build tools and practicing Infrastructure as Code.
Building automation to further simplify the development and promotion process Continuously tuning the organization’s existing data analytics practices, helping to define, standardize and measure data analytics activities, demonstrating concrete improvements to data analytics platforms within the organization Ensuring proper monitoring is crafted to provide support teams capability to respond to issues; develops monitoring and visibility capabilities; reports on incidents, vulnerabilities, and trends Integrating into cloud team across all cloud specialties and standards, not being limited to only data analytics.