Big Data Engineer

Here at Anaplan, we have reimagined how companies visualize, plan, and operate their businesses. Our platform allows our clients to discover new insights, connect their strategy to their plans, and work in ways they had not previously considered feasible. We're expanding rapidly, continuously innovating, and couldn’t be prouder to help our clients progress with assurance in an intricate and evolving world. We are seeking progressive-minded people who prioritize customer experience in all their decisions. Individuals who relish challenges and are ready to seize a lifetime opportunity. Because we fundamentally believe every colleague brings remarkable value to our collective. We are a workspace where each individual feels acknowledged, listened to, and appreciated, and can contribute their unique talent to our collective endeavor. We believe that for ourselves and for our clients. Your Impact: As a significant member of one of our core Engineering teams you will own, design, and shape a large scale, distributed system that applies our fundamental AI/ML solutions. You will also have the opportunity to work, collaborate, and learn from other accomplished individuals with diverse expertise such as data scientists and analysts. You'll be involved in the development of advanced, highly scalable, cutting-edge AI-driven systems. Our systems exploit and quicken the organization's productivity, efficiency, and most importantly generate business intelligence for superior decision-making. We’re continually considering improvements for our scale, incorporating new technologies and enhancing our customer experience. Preferred Skills: Experience developing software with OO languages (e.g., Python, Java, Golang, Rust, Koitlin) Experience with Microservices & container technology (e.g., Docker, K8s) Experience designing & building RESTful APIs Experience working with big data technologies (e.g., AWS Redshift, MongoDB, ElasticSearch, Redis) Excellent foundations in distributed application architectures Independence, integrity, creativity, & self-dependence Nice to haves: Familiarity with AWS/GCP Experience working with Python ML libraries (e.g., Pandas, Numpy) Experience working with big data orchestrators (e.g., Airlfow, Argo, Spark, Storm, Flink) Our Commitment to Diversity and Inclusion Establish your career in a place that thrives on diversity, inclusion, and sense of belonging. We believe in nurturing an employment and working experience in which everyone is respected and valued, regardless of gender identity or expression, sexual orientation, religion, ethnicity, age, neurodiversity, disability status, citizenship, or any other facet that makes individuals unique. We hire you for who you are, and we want you to bring your true self to work every day! We will ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, perform essential job functions, and receive equal benefits and all employment privileges. Please contact us to request an accommodation. Fraud Recruitment Disclaimer: We have to inform you that fraudulent and fictitious job opportunities are being circulated on the Internet. Some individuals, mainly through calls, emails and correspondences, are contacting potential candidates, falsely claiming they represent Anaplan. The main intent of these correspondences and announcement is to get privileged information from individuals. Anaplan does not: Extend offers to candidates without an extensive interview process with a member of our recruitment team and a hiring manager via video or in person. Send job offers via email. All offers are first verbally given by a member of our internal recruitment team whenever possible, and then followed up through written communication. All emails from Anaplan come from an @anaplan.com email address. Should you have any doubts about the authenticity of an email, letter or telephone message supposedly from, for, or on behalf of Anaplan, please send an email to [email protected] before taking any further action concerning the correspondence.