scribbledata

<div style="text-align: justify;"><strong style="color: rgb(0, 0, 0);">About Scribble Data</strong></div><div><span style="color: rgb(55, 55, 55);">Scribble Data is an MLOps product company, which provides foundational blocks on which enterprises build their ML models and analysis. Our customers trust us with their data, and with Scribble, have managed to significantly reduce friction in the consumption of data. We work smart, invest in tools and tech that are on the cutting edge of data science, and package all that we’ve learnt about efficiency and data mileage into our products.</span></div><div><br></div><div><span style="color: rgb(55, 55, 55);">Our modular feature store,&nbsp;</span><a href="https://www.scribbledata.io/?utm_medium=pr&amp;utm_source=newswire&amp;utm_campaign=seedfunding" rel="noopener noreferrer" target="_blank" style="color: rgb(55, 55, 55);">Enrich</a><span style="color: rgb(55, 55, 55);">, comprises a number of pre-built feature engineering apps to help data teams cut time-to-market for each data science use case including unified metrics, customer behavioral modeling, ML model building, and recommendations.&nbsp;</span></div><div><br></div><div><span style="color: rgb(55, 55, 55);">Enrich streamlines the data prep process with versioned pipelines, delivering continuously updated data through intuitive interfaces and surfacing context around datasets via extensive metadata and lineage tracking.&nbsp;</span></div><div><br></div><div><strong style="color: rgb(0, 0, 0);">About the role</strong></div><div><span style="color: rgb(55, 55, 55);">We are searching for a capable platform engineer to work on our flagship feature store product, Enrich. You will be focused on extending functionality for Enrich with high attention-to-detail ensuring trust, robustness, performance, and ease of use. Here are all the details you’ll need, to see if we can work together:</span></div><ul><li><span style="color: rgb(55, 55, 55);">You will develop high-performance data processing systems for dealing with internet-scale data.&nbsp;</span></li><li><span style="color: rgb(55, 55, 55);">You will develop and deploy robust, distributed, scalable, real-time, data processing infrastructure that can support various downstream applications including reporting, analytics, user intelligence, machine learning, and decision support.</span></li><li><span style="color: rgb(55, 55, 55);">You have strong system-level thinking and problem-solving ability paired with the love to build and ship robust code.&nbsp;</span></li><li><span style="color: rgb(55, 55, 55);">You have strong software engineering skills and can set up and operate well-thought-through development systems and processes.</span></li></ul><div><br></div><div><strong style="color: rgb(0, 0, 0);">Your Strengths</strong></div><ul><li><span style="color: rgb(0, 0, 0);">8+ years of industry experience building data infrastructure including packaging, deploying and monitoring data systems</span></li><li><span style="color: rgb(0, 0, 0);">Fluency in Python, SQL - Java knowledge will be a plus&nbsp;</span></li><li><span style="color: rgb(0, 0, 0);">Proficiency in designing, implementing and automating systems for data workflow management</span></li><li><span style="color: rgb(0, 0, 0);">Proficiency in developing and publishing APIs using web services</span></li><li><span style="color: rgb(0, 0, 0);">Proficiency in designing robust, scalable data architectures</span></li><li><span style="color: rgb(0, 0, 0);">Experience using distributed storage (e.g. S3), serverless architecture (e.g. Lambda), streaming data (e.g. Kafka), scalable search (e.g. Elasticsearch)</span></li><li><span style="color: rgb(0, 0, 0);">Experience with containerization (e.g. Docker/Kubernetes), and other deployment tooling</span></li><li><span style="color: rgb(0, 0, 0);">Experience with big data technologies like map-reduce, NoSQL, Spark, HBase, Hive</span></li><li><span style="color: rgb(0, 0, 0);">Experience with data security protocols, data access controls, AWS/GCP/Azure security mechanisms at the data and access levels, database security, scripting attacks, API security</span></li><li><span style="color: rgb(0, 0, 0);">Having built and shipped a product at a startup will be a plus</span></li><li><span style="color: rgb(0, 0, 0);">Bachelors/Masters degree in Computer Science</span></li></ul><div><br></div><div><strong style="color: rgb(0, 0, 0);">Does this sound like you?</strong></div><ul><li style="text-align: justify;"><span style="color: rgb(55, 55, 55);">You like adventure and have a stomach for learning and unlearning every day</span></li><li style="text-align: justify;"><span style="color: rgb(55, 55, 55);">You are excited by powering up a whole generation of upcoming data applications</span></li><li style="text-align: justify;"><span style="color: rgb(55, 55, 55);">You dream big and believe that hard problems need streamlined systems and massive amounts of data to tackle effectively</span></li><li style="text-align: justify;"><span style="color: rgb(55, 55, 55);">You embrace uncertainty and can develop processes and systems to handle rapidly evolving requirements</span></li><li style="text-align: justify;"><span style="color: rgb(55, 55, 55);">You have a sense of humour</span></li></ul><div><br></div><div><strong style="color: rgb(0, 0, 0);">GET EXCITED. Because you're about to make a huge impact.&nbsp;</strong></div><div><span style="color: rgb(55, 55, 55);">Scribble Data is growing rapidly, and hiring for remote positions across the globe to service its customers across four continents (and counting). We think of this phase of hiring as extending Scribble's core team, so if you want to get in on the ground floor, now would be a good time to look our way.</span></div><div><strong style="color: rgb(0, 0, 0);">WHAT WE OFFER</strong></div><ul><li><span style="color: rgb(55, 55, 55);">Work from home or your preferred location</span></li><li><span style="color: rgb(55, 55, 55);">A work culture that helps you innovate and evolve continuously, and the freedom to work in the hours you feel the most productive</span></li><li><span style="color: rgb(55, 55, 55);">A chance to shape the future of data and MLOps</span></li><li><span style="color: rgb(55, 55, 55);">Minimum 8 weeks paid parental leave, irrespective of gender</span></li></ul><div><br></div>