Mexico City, Mexico
1 year ago

Job Overview

Job Type
Mid Level | Data and Analytics
Pay
Not disclosed

Job description

Location:
Mexico City, Mexico
Work arrangement:
On-site

Role Summary

Join EPAM as a Data Integration Engineer. In this role, you'll develop and implement pipelines using Google Cloud BigQuery, Python, and SQL, collaborate with cross-functional teams to identify requirements and design efficient data pipelines, and ensure the pipelines and data processing are scalable and robust. If you are proficient in Google Cloud BigQuery, Python, and SQL, and have excellent English communication skills, we'd love to hear from you.

#LI-DNI#LI-YE1

Technologies - Google Cloud BigQuery

  • Python
  • SQL

Responsibilities - Develop and implement pipelines using Google Cloud BigQuery, Python, and SQL

  • Collaborate with cross-functional teams to identify requirements and design efficient data pipelines
  • Ensure the pipelines and data processing are scalable and robust
  • Optimize and fine-tune data pipelines for performance and efficiency
  • Work closely with the project team to troubleshoot any issues and provide technical support

Requirements - Proficient in Google Cloud BigQuery, Python, and SQL

  • Excellent English communication skills with a minimum B2 level proficiency

Nice to have - Experience with Microsoft SQL Server and PostgreSQL

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, 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
  • 30 days December bonus
  • Employee Stock Purchase Plan
  • 12 vacations days plus 4 floating days
  • Official Mexican holidays, plus 5 extra holidays (Maundry Thursday and Friday, November 2nd, December 24th & 31st)
  • Monthly non-taxable amount for the electricity and internet bills

EPAM is a leading global provider of digital platform engineering and development services. We are committed to having a positive impact on our customers, our employees, and our communities. We embrace a dynamic and inclusive culture. Here you will collaborate with multi-national teams, contribute to a myriad of innovative projects that deliver the most creative and cutting-edge solutions, and have an opportunity to continuously learn and grow. No matter where you are located, you will join a dedicated, creative, and diverse community that will help you discover your fullest potential.

By applying to our role, you are agreeing that your personal data may be used as in set out in EPAM's Privacy Notice and Policy.

Role:
Data Integration - BigQuery / Python experience
Job Type:
Mid Level | Data and Analytics

Company profile

EPAM Systems

epam.com

EPAM Systems, Inc., also known as EPAM, is a globally active US provider of software engineering and IT consulting services. The company runs software development centers and branch offices in North America, Europe, Asia and Australia, and its offices in Germany are in Frankfurt am Main and Berlin. EPAM Systems took shape in 2002 when two companies set up by Arkadiy Dobkin in Princeton, New Jersey, and Leo Lozner in Minsk, Belarus, were merged. The name originally stood for Effective Programming For America, and the shares were first offered on the New York Stock Exchange in January 2012.

Company Size
50,000 - 100,000 employees
Headquarters
Newtown, Pennsylvania, United States
Founded
1993
Funding Stage
Public

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