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Data Engineer

Прямой работодатель  Smartcat ( smartcat.ai )
Remote
Миддл • Сеньор
Аналитика, Data Science, Big Data • Инженер • Python • SaaS/PaaS
13 февраля 2023
Релокация • Удаленная работа
Опыт работы любой
Работодатель  Smartcat
Описание вакансии

Smartcat is a fully remote startup company. We are creating an operating system for the global translation industry. Our team believes that the world becomes ever-more connected and interdependent. The borders that prevent people from trading, working together, and exchanging knowledge and innovations erode over time. That is the future we want to live in. Our mission is to speed up the pace at which that happens, building the best platform for Connected Translation. We don’t believe automation will render language professionals obsolete. Instead, we place powerful software into the hands of the millions of people working to globalize their own industries, plug them into our global supply network, and enable continuous delivery of multilingual content. With tens of thousands of customers and hundreds of thousands of freelancers translating together on Smartcat, we are well on our way.

Data Engineer Mission

Ownership of the Data Load stage and making it transparent and efficient for the whole business to accelerate the data-driven growth approach.

Outcomes:

  • Migrate the Load stage of ELT to Airflow
  • Build data streaming 
  • Cooperate with Business to comprehensively cover all data needs
  • Being responsible for the speed and quality of data pipelines
  • Build tests for the Load stage
  • Maintain clear data documentation

Requirements:

  • Experience in Airflow
  • Middle+ Python skills
  • Strong SQL knowledge
  • Excellent data architecture skills
  • 1+ year of experience with data Load
  • Intermediate and above in English
  • Integrity, total commitment, and a strong sense of ownership
  • A data-driven approach. Ability to justify decisions using concrete metrics
  • Integrity and full commitment
  • Growth mindset
  • Readiness to work in a highly intense startup environment requiring extreme focus, a strong sense of ownership, and persistence to breakthrough
  • Openness to constructive feedback and the opinions and ideas of others

Why joining Smartcat might be your best move so far

  • The ongoing rise of the content economy is causing a massive shift in the language industry. All today’s megatrends — big data, artificial intelligence, machine learning — are converging in it at lightning speed. Smartcat’s disruptive business model taps into this $50b industry with a market network where buyers and suppliers connect, collaborate, and leverage our free-to-use workflow SaaS. The next decade will be the era of gateway marketplaces in B2B, and we’re pioneering this global transformation in all things language-related.
  • You will enjoy building with us. You will drive changes in how an old-fashioned global language industry operates while improving how hundreds of thousands of people work and millions of people exchange knowledge and ideas worldwide. 
  • While the language industry is big and fragmented enough to keep us busy building a billion-dollar company in the next few years, we are already seeing how the platform naturally expands to adjacent language and content-related verticals, expanding our TAM and making our journey even more exciting. 
  • We are a global team of 150+ enthusiastic people. While we have been fully remote since COVID, some locations are more populated by Smartcatters than others, such as Boston, NYC, SF, the Bay Area, London, Lisbon, and Yerevan.  While we strive to grow aggressively, we preserve our high performance, engagement, and open feedback culture. As diverse as we are, we love working and having fun together, and we’re sure you’ll love working with us too. 
  • Smartcat is backed by Matrix Partners, FJ Labs, and other top VC firms focusing on SaaS and marketplace startups (you might recognize names like HubSpot, Zendesk, Uber, Stripe, RigUp, and Quora in their portfolios). This helps us innovate at a fast pace and learn from top professionals in other industries.

Специализация
Аналитика, Data Science, Big DataИнженерPython
Отрасль и сфера применения
SaaS/PaaS
Уровень должности
МиддлСеньор