*This position is also open to work remotely from anywhere in Mexico*
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 Python Data Engineer
Roles and Responsibilities
1. Proficiency in Python programming language, with a strong grasp of Python libraries and frameworks such as Django, Flask, or FastAPI.
2. Experience in designing, developing, and maintaining backend systems and APIs using Python, ensuring high performance, scalability, and reliability.
3. In-depth knowledge of cloud computing platforms like AWS, Azure, or Google Cloud, with hands-on experience in deploying, managing, and optimizing cloud-based applications and services.
4. Proficiency in containerization technologies like Docker and container orchestration tools such as Kubernetes for efficient deployment and scaling of applications.
5. Strong understanding of databases, both SQL (e.g., PostgreSQL, MySQL) and NoSQL (e.g., MongoDB, Redis), and the ability to design and optimize database schemas.
6. Familiarity with DevOps practices, CI/CD pipelines, and automation tools (e.g., Jenkins, GitLab CI, Terraform) to streamline development and deployment processes.
7. Excellent problem-solving skills, a proactive attitude, and the ability to collaborate effectively with cross-functional teams to deliver robust and scalable backend solutions.
8. Collaborate closely with the ML team to integrate machine learning models and algorithms into backend systems, enabling the development of data-driven applications and services.
9. Experience with deploying and managing ML workloads and frameworks (e.g., TensorFlow, PyTorch) on cloud platforms, and the ability to optimize infrastructure to support machine learning workflows and training processes.
What you can expect from us
At DigitalOnUs by Tech Mahindra, 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/
