Senior Data Engineer
Who is DigitalOnUs by Tech Mahindra?
At DigitalOnUs by Tech Mahindra, we not only provide Agile and DevOps methodologies to our customers, we have adopted the same within the company as well. Our nimble processes are not mired in red tape, yet robust, flexible and result-oriented. 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 lemma: “work smart and play hard”
Our technology partners are Hashicorp, Cloudbees, Chef, Pagerduty, Docker and SAP.
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 Senior Data Engineer who have hacked systems in creative ways, 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 me assured on a timesheet.
Location Remote: Mexico
Qualifications we are looking for:
5 years of experience
- MS Azure or similar platform
In this team, each of us is working on his project. Each Data Engineer must have enough knowledge to work with a certain degree of autonomy.
We are implementing Spark pipelines using Scala for it. Then, the candidate must have enough understanding and experience working with Spark. How to create, deploy and execute spark applications to apply complex transformations to the data. At least it is required a middle level. For example, how to: create, join, filter, and transform DataFrames, efficiently.
About Scala, we are focusing on Spark applications. Then the candidate should know enough to implement Spark pipelines. An expert on Scala is not needed, but at least to have good fundamentals. Understand the primary types of objects/structures like Case Classes, Tuples, and Collections; how to interact with Collections to transform them (map, flatMap, foreach, etc.), and How to deal with NULLS that are discouraged in Scala.
The candidate must have real experience implementing solutions using Spark with Scala. Just knowing some concepts is not enough.
It is desired some experience with Azure, but this is not critical. The current use of the Azure Platform is not very complex, and it is something that the developer can learn on the way.
Why you will love this job?
- Play with the latest & greatest technologies on the development side.
- Become part of a highly tech-savvy startup that's growing rapidly.
- Get involved on helping start-up companies define and grow their development best practices.
What you can expect from us
At DigitalOnUs by 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
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/
* Salary range is an estimate based on our salary survey at salaries.ai-jobs.net
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