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Lead Big Data Engineer Mexico

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Lead Big Data Engineer Description

Job #: 52347
EPAM is committed to providing our global team of 36,700+ EPAMers with inspiring careers from day one. EPAMers lead with passion and honesty and think creatively. Our people are the source of our success and we value collaboration, try to always understand our customers’ business, and strive for the highest standards of excellence. In today’s new market conditions, we continue to support operations for hundreds of clients around the world remotely, with the vast majority of our teams working from home. No matter where you are located, you’ll join a dedicated, diverse community that will help you discover your fullest potential.

DESCRIPTION



You are curious, persistent, logical and clever – a true techie at heart. You enjoy living by the code of your craft and developing elegant solutions for complex problems. If this sounds like you, this could be the perfect opportunity to join EPAM as a LEAD BIG DATA ENGINEER. Scroll down to learn more about the position’s responsibilities and requirements.

We are looking for an experienced, proactive, and responsible Lead Engineer with excellent Big Data skills to join our fast-growing office. We are looking for a developer who takes part in data integration solution for a variety of clients.
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Responsibilities

  • Lead team and provide daily direction
  • Work with onsite and EPAM and Client’s Project Managers, Solution Architect, and Data Engineers
  • Provide updates to key stakeholders
  • Help tracking project work and maintaining project scope
  • Provide technical suggestions and recommendations
  • Help establish best practices for engineering team
  • Perform code reviews for both our different Data teams

Requirements

  • 4+ years of experience involved in Data Integration projects
  • 2+ years of Java development experience
  • 1+ years of experience as leading Big Data solutions
  • Hadoop Knowledge
  • Git experience
  • Google Cloud Platform (“GCP”) PubSub service as a source and destination for data to be ingested and processed
  • Google Cloud Platform (“GCP”) BigQuery service as a source and destination for data to be ingested and processed
  • Google Cloud DataFlow service as computational engine
  • Google Cloud Storage (GCS) as a data store for application artifacts
  • Google Cloud Firestore as an application configuration store
  • Google Cloud Cloud Functions as an execution mechanism for the Dataflow jobs
  • Google Cloud Scheduler as a scheduling tool for batch Dataflow jobs
  • Google Stackdriver as a monitoring and alerting tool
  • Apache Beam as data transformation engine
  • Jenkins as the build & deploy automation tool
  • Google cloud experience is a nice to have, any other cloud platform experience can be considered for the role if you are interested in learning GCP

Nice to have

  • Good understanding of Cloud Computing
  • Experience in the popular technologies in the machine learning/big data ecosystem

We offer

  • Career plan and real growth opportunities
  • Unlimited access to LinkedIn learning solutions
  • International Mobility Plan within 25 countries
  • Constant training, mentoring, online corporate courses, eLearning and more
  • English classes with a certified teacher
  • Support for employee’s initiatives (Algorithms club, toastmasters, agile club and more)
  • Enjoyable working environment (Gaming room, napping area, amenities, events, sport teams and more.)
  • Flexible work schedule and dress code
  • Collaborate in a multicultural environment and share best practices from around the globe
  • Hired directly by EPAM & 100% under payroll
  • Law benefits (IMSS, INFONAVIT, 15 days December bonus, 25% vacation bonus)
  • Major medical expenses insurance: Life, Major medical expenses with dental & visual coverage. (For the employee and direct family members)
  • 13 % employee savings fund, capped to the law limit
  • Grocery coupons
  • 10 vacations days plus 2 floating days
  • Official Mexican holidays, plus two extra holidays (December 24th & 31st)
  • Relocation bonus: transportation, 2 weeks of accommodation for you and your family and more

Наши сотрудники

ИЛЬЯ ПРИТУЛА
Ресурсный менеджер
Санкт-Петербург, Россия

ОЛЬГА КАЗАКОВА 
Руководитель проектов
Москва, Россия

ИЛЬЯ РОМАНОВ
Глава практики e-commerce
Москва, Россия

АЛЕКСЕЙ УДАЛОВ
Архитектор решений
Амстердам, Нидерланды

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