Data Engineer

DigitalOnUs · Remote

Company

DigitalOnUs

Location

Remote

Type

Full Time

Job Description

Who is Tech Mahindra?

At Tech Mahindra, we have a culture of driving positive change, celebrating each moment, and empowering all to Rise drives us to dream, do, and become more. By living our culture, both as individuals and as a team, we establish and advance our presence as a brand that is global, innovative, and caring. Our culture also leads the way for us to be and become a Company with a Purpose. We try to achieve this by making responsibility personal and adopting sustainability as a way of life at Tech Mahindra.

Our service offerings are aligned to the changing world of our customers. Our portfolio of services range from designing strategy to delivering impact. We are Software Engineers, Technical Architects, Cloud and DevOps specialists. But the most important, we are dreamers, creators and challengers. Each day, we strive to make great come alive.

Our technology partners are Hashicorp, Google Cloud, AWS, Oracle, SFDC, BMC, HPE, Pega, VMware, Cisco, IBM, SAP, Dell EMC, Microsoft and Service Now.

At Tech Mahindra, we are more than 140,000 employees with presence in more than 90 countries. Our DigitALL philosophy focuses on transforming clients' businesses across Products, Services, Business Models and Reimagined Business Processes, leading to new Revenue Opportunities, Enhanced Customer Experience, Operational Efficiency, Reduced Risk, and a better Society.

We are always looking for the brightest candidates to come and we offer a work environment with everything you need to be your best. Does Ambition, Success, Fun, Friends & Learning define your idea of a career? Join us and be part of our family!

We're looking for a passionate, product-focused Data Engineer who has hacked systems in creative ways, and who are curious about new languages, technologies, and trends. We believe that working hard is a byproduct of loving what you do and not something that can be assured on a timesheet.

Location: Mexico - Remote

Qualifications we are looking for:

5+ years of experience

  • Spark
  • Scala 

Nice to have:

  • Azure

Responsibilities:

  • Create, join, filter and transform Data frames efficiently
  • Implement Spark pipelines
  • Understand the primary types of objects / structures like Case Classes, Tuples and Collections
  • How to interact with Collections to transform them (map, flat map, foreach, etc.)
  • How to deal with NULLS that are discouraged in Scala.

What you can expect from us?

At TechMahindra, what distinguishes us from other teams is the comfortable environment which engenders trust within teams and with our customers. Trust and openness leads to quality, innovation, commitment to deliverables, efficiency and cost-effectiveness for all our customers.

  • Work with some truly remarkable IT engineers, architects, specialists and more.
  • We’re growing at a phenomenal pace and we’d like some company.
  • Hear your voice, nurture your talent and help you strengthen your foot print!
  • Benefits above the law
  • Mentorship, and opportunities to grow and learn


ID:2551

If you apply for this opportunity we will get you resume and its contain personal data whose treatment has been authorized by its owner for Digital OnUs, S. de RL de CV (the "Company”). If you are not the owner of this information or have no relation whatsoever with the subjects treated in it, you are requested in the most attentive way not to make copies of it and / or its attached files and delete it immediately, under the risk of being considered as responsible for the unauthorized treatment of personal data in accordance with the Federal Law on Protection of Personal Data Held by Private Parties, its Regulations, and other applicable regulations. If you are the owner of personal data in possession of the Company and wish to obtain further information regarding the processing of your personal data or the exercise of your ARCO rights, please consult our integral privacy notice on the website https://www.digitalonus.com/privacy-policy/

Apply Now

Date Posted

12/03/2023

Views

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