About the role:
At Returnly, we value you as a whole person. We care about the skillset you bring to the table, but more importantly, we care about the kind of person you are, and the culture and attitude you bring to the table. As a Senior Platform Data Engineer, you will help build solutions that will be used by thousands of customers. You will find success in this role if you are a seasoned software engineer who appreciates real, technical challenges and building high quality services.
Here’s what we look for in the attitude department:You are a seasoned and versatile engineer, who is passionate about your work You have a strong sense of ownership and responsibility You are flexible and adaptable You like to solve problems You are a craftsman in your trade but you understand when “good enough” is enough You are analytical and have keen attention to details You have your own opinions and you are not shy about them, however you value consensus and strive to achieve itYou lead your teammates by example, you’re the “go to” guy or gal You’re not afraid to change your mind given new facts, nor are you afraid to admit your mistakes You strive in semi-structured start-up environment with a lot of opportunities and plenty of ambiguities You can wear multiple hatsYou have excellent communication skills and are able to explain your ideas clearly and concisely and you enjoy sharing themYou are very serious about the quality of your work and you ask no less from your colleaguesYou understand and are interested in both big picture and nitty-gritty details
What you'll be doing:Own technology solutions, including architecture, design and development of back-end microservices and REST APIs for web applications using JVM ecosystem (Kotlin, Java) and other languages and frameworks (Python, Go, Ruby)Solve new and challenging problems around eCommerce payments, credit issuance and settlement, fraud detection, SaaS integration, data ingestionPromote and evangelize architectural and design best practices to team membersActively participate in defining and implementing Returnly Data Strategy to ensure we can deal with data volume, velocity, and variety of challengesDesign, construct, install, test and maintain highly scalable data management systemsCreate and maintain optimal data pipeline architecture. Build the infrastructure required for optimal extraction, transformation, and loading of data from a wide variety of data sources using SQL and NoSQL technologies in a cloud environmentCreate data tools for analytics and data scientist team members that assist them in building and optimizing our product into an innovative industry leaderTogether with engineering leadership define and implement data security and access control policiesEvaluate and create new tools and techniques to facilitate effective development practicesWork cross-functionally with some of the best people in different disciplines like data science, finance, product management, marketing & sales, designBuild and enhance systems with automated instrumentation and monitoringDrive quality by writing unit, integration, and performance tests in a continuous delivery environmentTroubleshoot cross-system issues using log data, metrics, and various analysis toolsConsistently improve maintainability and stability of the codebaseLive and breathe resiliency and uptimeAnticipate and act upon issues that arise, providing alternative approaches and solutionsSet the standard for highest quality of work
Your background:6+ years industry experience and expert knowledge using JVM languages (Java, Kotlin, or Scala)Deep understanding and experience of various technologies, frameworks and libraries in the JVM ecosystem; Spring Boot is a big plusExperience with a functional programming is a plusThorough, expert level knowledge of JVM, design patterns, distributed architectureStrong familiarity with *nix environment including bash and command-line toolsDeep understanding of database methodology and database systems and strong experience with relational and non relational databases Familiarity with RDBMS design for both OLTP and Data WarehousingAdvanced working SQL knowledge and experience working with relational databases, query authoring (SQL) as well as working familiarity with a variety of databasesExperience building and optimizing ‘big data’ data pipelines, architectures and data setsStrong analytic skills related to working with unstructured datasetsBuild processes supporting data transformation, data structures, metadata, dependency and workload managementA successful history of manipulating, processing and extracting value from large disconnected datasetsWorking knowledge of message queuing, and streaming-based pipelinesExcellent knowledge of data, web service technologies and REST best-practicesUnderstanding of scalability challenges and performance of server-side codeAbility to design and develop horizontally-scalable, resilient and efficient systemsDeep understanding of distributed systems in a cloud environment, and event-driven architectureBachelors or Masters degree in Computer Science, a related field or equivalent experienceProven track record of shipping software in a delivery-focused environmentExperience contributing to open source projects or similar is a big plusExposure to Amazon Web ServicesPrior startup experience a big plus
Diversity - We are diverse, independent thinkers and still one team with one mission.
Openness and empathy - We learn and grow by listening to our customers and each other.
Integrity - We always do what’s right for our customers, Returnly and ourselves - in that order.
Team - EQ is as important as IQ. We make time to help each other out.
Commitment - We are curious and fearless. We own risk, outcomes and everything in between.
We'd really love to hear from you, but before applying please check the following...
Read the values section above carefully and ask yourself if this is a good match for you personally. We want you to be an ambassador of these values!
Do you have all the skills required for this role? Can you demonstrate them? Be realistic - we will only consider applications that demonstrate relevant skills and match these role requirements.
Please make sure you have included a cover letter as part of your application. We want to learn from you and your achievements before we meet you in person!