Data engineer - Hybrid (Mexico City)
Mexico-International
Orion Innovation
Orion delivers digital transformative business solutions rooted in digital strategy, experience design, and engineering, enabling our clients with digital transformation to operate with agility at scale.Orion Innovation is a premier, award-winning, global business and technology services firm. Orion delivers game-changing business transformation and product development rooted in digital strategy, experience design, and engineering, with a unique combination of agility, scale, and maturity. We work with a wide range of clients across many industries including financial services, professional services, telecommunications and media, consumer products, automotive, industrial automation, professional sports and entertainment, life sciences, ecommerce, and education.
About The Role
You will work with our Data team (mostly with Data Engineers and Analytics Engineers but also with Data Scientists and Data Analysts) together with Backend Engineers and SRE’s to help us evolve and take our data platform to the next level.
What Will You Do
- Work in a multi-cloud environment with GCP/AWS with cutting-edge technologies like Apache Airflow, Pub/sub, Snowflake, and Kubernetes among others, using Python as your main programming language.
- Build and maintain high-quality, reliable and robust data pipelines based on Python and deployed on Kubernetes and Airflow, that convert data streams into valuable information.
- Contribute to the development of new features and tools.
- Support our data architecture, based on real-time streaming and batch-processing solutions, supervising and maintaining the platform and the pipelines to guarantee its optimal performance. Help to implement strategies to optimize the performance and scalability of the data systems.
- Ensure that data architecture complies with security requirements.
- Contribute to maintaining the Continuous integration and deployment (CI/CD).
Who We Are Looking For
- Bachelor’s Degree In Computer Science or similar and previous experience working in data or software engineering environments for at least 3-5 years.
- Solid background in DWH solutions, in particular in SQL databases (PostgreSQL, Snowflake, Redshift, etc.). Experience in noSQL databases (i.e MongoDB) is highly desirable.
- Coding proficiency in Python is a must.
- Team player, technology passionate and self-motivated individual.
- Strong written and verbal communication, and technical writing skills.
- Good writing/reading English level. Being fluent in English speaking is highly valuable.
- Experience working with bash scripting, Docker, Kubernetes and Linux environments is highly desirable.
- Experience with AWS/GCP stack or another cloud computing platform is highly valuable.
Orion is an equal opportunity employer, and all qualified applicants will receive consideration for employment without regard to race, color, creed, religion, sex, sexual orientation, gender identity or expression, pregnancy, age, national origin, citizenship status, disability status, genetic information, protected veteran status, or any other characteristic protected by law.
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- How we handle that information; and
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Your use of Orion services is governed by any applicable terms in this notice and our general Privacy Policy.
* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰
Tags: Airflow Architecture AWS CI/CD Computer Science Data pipelines Docker E-commerce Engineering GCP Industrial Kubernetes Linux MongoDB NoSQL Pipelines PostgreSQL Privacy Python Redshift Security Snowflake SQL Streaming
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