Job Description Be a part of the team that develops and maintains the analytics and data science platform. Perform functional, technical, and architectural role and play a key role in evaluating and improving data engineering, data warehouse design and BI systems. Develop technical architecture designs which support a robust solution and leads full-lifecycle availability of real-time Business Intelligence (BI) and enable the Data Scientists Responsibilities ● Construct, test and maintain data infrastructure and data pipelines to meet business requirements ● Develop process workflows for data preparations, modelling and mining Manage configurations to build reliable datasets for analysis Troubleshooting services, system bottlenecks and application integration ● Designing, integrating and documenting technical components, dependencies of big data platform Ensuring best practices that can be adopted in Big Data stack and share across teams ● Working hand in hand with application developers and data scientists to help build softwares that scales in terms of performance and stability Skills ● 3+ years of experience managing large scale data infrastructure and building data pipelines/ data products. ● Proficient in - Any data engineering technologies and proficient in AWS data engineering technologies is plus. ● Language - python, scala or go ● Experience in working with real time streaming systems Experience in handling millions of events per day Experience in developing and deploying data models on Cloud ● Bachelors/Masters in Computer Science or equivalent experience Ability to learn and use skills in new technologies
Main responsibilities: + Management of a growing technical team + Continued technical Architecture design based on product roadmap + Annual performance reviews + Work with DevOps to design and implement the product infrastructure Strategic: + Testing strategy + Security policy + Performance and performance testing policy + Logging policy Experience: + 9-15 years of experience including that of managing teams of developers + Technical & architectural expertise, and have evolved a growing code base, technology stack and architecture over many years + Have delivered distributed cloud applications + Understand the value of high quality code and can effectively manage technical debt + Stakeholder management + Work experience in consumer focused early stage (Series A, B) startups is a big plus Other innate skills: + Great motivator of people and able to lead by example + Understand how to get the most out of people + Delivery of products to tight deadlines but with a focus on high quality code + Up to date knowledge of technical applications
JD: Certification : Professional Google Cloud Certified Data Engineer is mandatory • Strong analytical skills. Skills: Google, Google cloud, Googlecloud, Google-cloud, Google - cloud, Google adwords, Google Analytics, Google Api, Google app engine, Google Engine, Google apps, Cloud, Public CLoud, Cloud design, data, Data engineer, Data store Industry: IT/ Computers - Software Functional Area: - Experience building and supporting large-scale, business critical systems on Public Cloud (Google Cloud Platform) Technical / Functional Skills : - o Working knowledge of Google Cloud Platform o Good understanding of cloud design considerations and limitations in the areas of virtualization and global infrastructure, distributed systems, load balancing and networking, massive data storage and processing.