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Senior Data Engineer

Company: Shift
Location: Orange
Posted on: November 22, 2021

Job Description:

About Shift:We believe car buying should be fun, fair, and accessible to everyone. We've set out to transform an industry, using technology to bring transparency and convenience to the car buying process.AAnd we aren't stopping there. We seek to bring that same openness and simplicity to car ownership too, with payments, maintenance, and insurance in one easy app. At Shift, we're building the tools that empower people to buy, own, and sell the cars that make life go.AAbout the role:AThe Senior Data Engineer reports to the Sr. Director of Technical Operations and is an experienced and knowledgeable engineer who will help to formalize a Data Engineering team at Shift. They and Data Engineering will work closely with Infrastructure Engineering to establish architectures and processes that serve all of Shift's supply of data to stakeholders throughout the business.What you'll do:ADesign, build, and maintain the data collection and storage infrastructure that supports business analytics and data science.Manage the flow of analytics data through our systems, ensuring that it is reliable and performant.Providing a self-service experience wherever possible for Shift parties who need access to this data. Guiding customers where necessary, and coming up with improved solutions when new needs arise.Design, build and maintain cloud infrastructure and build pipelines for data science projects that allow our data science team to independently develop features in a safe and efficient manner.Bring cutting-edge industry practices into our organization; convince stakeholders and peers of the value; implement these practices and measure impact.What we ask for:5+ years of experience managing and processing data in relational databases, including using SQL to extract reports.3+ years of Python programming experience including interacting with Application Programming Interfaces (APIs) and Data Processing / Extraction Transform and Load Jobs (ETLs).3+ years of experience with orchestration of ETL workflows, using tools such as Airflow.3+ years of experience using and administering data analytics tools such as Periscope, Tableau, Looker, or similar.3+ years of experience monitoring workflows including ETLs, responding to issues and improving performance and reliability.3+ years of experience with modern Software Development practices, including automated build, tests and deployment.2+ years of experience utilizing Cloud-based Data Warehouses such as Amazon Web Services (AWS) RedShift or Google BigQuery.Familiarity and/or Experience with Infrastructure-as-Code and Configuration-as-Code (Terraform/CloudFormation/etc and Puppet/Chef/etc)Familiarity and/or Experience supporting the needs of Data Science (Jupyter Notebook experimentation, Machine Learning (ML) model training and hosting)Excellent written and verbal communication skills and ability to communicate project plans and progress with stakeholders across engineering, including experience producing technical documentation.Understanding of web service fundamentals, such as HTTP/S, SSL/TLS, TCP/UDP, performance monitoring, caching, load balancing and logging.Demonstrates excellent team and cross-functional collaboration, exhibiting professionalism and empathy for other functional groups within the business.Experience using agile methodologies to plan and track project work.Things to set you apart:Professional Experience supporting Machine Learning applications including development and deployment in the cloud.Professional Experience in disciplines such as DevOps, Cloud Infrastructure, Microservices.Professional Experience tuning PostgreSQL Databases for performance and scalability.Have built and maintained the architecture supporting data pipelines at your workplace.Have managed data dictionaries and implemented processes to ensure data quality at your workplaceHave experience deploying and managing data streaming pipelines based on messaging systems such as Kafka or AWS Kinesis.AWho We AreAt Shift, we're all about growth - which means people who are eager to grow, who are ready to roll up their sleeves and learn new things. We were founded by a scrappy group of visionaries who were by no means 'car experts'A - so we don't expect you to be one, either!We'll take the open-minded go-getter over the pure subject matter expert any day. In that spirit, we also care about building a diverse and inclusive workplace and company. To put it simply, cars are meant for everyone, so we believe our company should be, too. We never discriminate against any candidate on the basis of gender, sexual orientation, gender identity, age, race, ethnicity, religion, color, national origin, marital status, veteran status or disability status. We welcome and encourage people of all backgrounds and walks of life to apply, even if you're unsure if you meet all the requirements. (Even if this particular role isn't the right fit, chances are we will have the right one soon!)Why Join Now?AHaving gone public in October 2020, we are at the beginning of our journey and hope you join us for the ride! Shift is a leading end-to-end auto e-commerce platform transforming the used car industry with a technology-driven, hassle-free customer experience. Shift's mission is to make buying or selling a used car fun, fair, and accessible to everyone.We provide comprehensive, digital solutions throughout the car ownership lifecycle: finding the right car, having a test drive brought to you before buying the car, a seamless digitally-driven purchase transaction including financing and vehicle protection products, an efficient, digital trade-in/sale transaction, and a vision to provide high-value support services during car ownership.AShift is an Equal Employment Opportunity EmployerAll qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, sexual orientation, gender identity, disability and protected veterans status or any other characteristic protected by Jobble

Keywords: Shift, Orange , Senior Data Engineer, Engineering , Orange, California

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