At Jampp, we solve the most complex and large-scale technological challenges in mobile advertising today. We process over 2,500,000 ad requests per second, which amounts to over 250TB of data per day, across three global data centers. We rely on real-time machine learning models (with billions of features) that give us predictions in less than 100ms. If you are excited about building real-time data pipelines capable of handling a billion events daily and helping scale our machine learning infrastructure, Jampp might be the right place for you! As a Data Engineer, you will design, build, and operate large-scale data infrastructure systems across all environments to store, aggregate, and process large amounts of data, creating our next-generation data infrastructure. If you have strong development skills in Python and you feel challenged to work in a fast-paced environment, you might be the new Jampper we are looking for! WHAT YOU'LL DO Contribute to the development of Jampp's data infrastructure by designing and building scalable distributed data processing systems. Design and implement ETL processes from a wide variety of sources. Work closely with Data Scientists to design and maintain scalable data models and their associated data pipelines. Contribute to guarantee data consistency and reliability among all Jampp's systems and machine learning inputs. Benchmark systems, analyze system bottlenecks, and track data quality and consistency, proposing solutions to improve them. Work creatively and analytically in a problem-solving environment. Build and evolve the tools that empower colleagues across the company to access data and build reliable and scalable transformations. CURRENT CHALLENGES Write a unified data access layer that abstracts away regionality, underlying S3 layout, and table format technology Continuing to lower the latency and bridge the gap between our production systems and our data warehouse by rethinking and optimizing our core data ingestion jobs Create a robust and easy-to-use unit testing infrastructure for batch processing pipelines Build a framework and tools to re-architect data pipelines to run more incrementally SOME NUMBERS Our Hadoop clusters can query over 600 TB of raw and processed data in S3 Our Hadoop clusters process 3000+ ad hoc queries per day and 600+ ETL executions WHAT WE LOOK FOR At Jampp, we are committed to building teams that represent a variety of backgrounds and skills, as we believe that the more diverse we are, the better our work will be! 3+ years of programming experience in Python. Go is a plus! Experience designing and developing distributed systems for large-scale data processing. Hands-on experience using the AWS Big Data stack (Kinesis, EMR, Lambda, etc). Experience managing and working with TrinoDB/PrestoDB clusters. Experience developing productive applications on top of Docker, Kubernetes and PySpark. Rock-solid knowledge of databases and SQL. Familiarity with Databricks is a plus Getting deep into the open source community raising issues, pull requests and conversations is an extra! Feel very comfortable sharing knowledge and coaching more junior team members. WHAT WE OFFER Learn a ton about the hottest area of growth in Internet advertising - Mobile! A great level of responsibility from day one and the chance to develop your potential without limitations. A dynamic remote-first work culture with the possibility of accessing coworking spaces as needed. A structured remote onboarding process and continuous training with a supportive team. We win together! Work with a talented global team that you can constantly learn from! We have jamppers from ... our customers are not the only ones from around the globe Jampp is the programmatic platform of choice for the fastest-growing on-demand companies worldwide. In 2013, we noticed the chaos surrounding mobile performance advertising and wanted to change it, somehow. We built a suite of growth products that unlock programmatic advertising for some of the biggest names in mobile (like Uber, Rappi, iFood, & Postmates, to name a few). We’re a team of builders - engineers, data architects, designers, and entrepreneurs - who love what we do. We serve a global customer base from our offices in San Francisco, Berlin, São Paulo, Singapore, and Buenos Aires. Apply for this job * indicates a required field First Name * Last Name * Email * Phone Location (City) * Resume/CV * Enter manually Accepted file types: pdf, doc, docx, txt, rtf #J-18808-Ljbffr Jobleads-US
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