Data Engineer
México City
DigitalOnUs
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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 Data Engineer
-
- BI Tools:
- Spotfire
- Power BI – Nice to have
- Tableau - Nice to have
- ETL Tools:
- Databricks
- Spark - nice to have
- Data Pipeline in Azure Data Factory
- SnowPark
- DataiKU - Nice to have
- Cataloging Tools , Governance, Data Quality
- Collibra
- Programming Languages:
- Python - Pandas, PySpark
- SQL
- Kusto query language (Kql)
- DevOps:
- Azure DevOps
- GitHub
- WITSML - Nice to have
- Datastores:
- Azure SQL
- Snowflake
- ADX
- ADLS
- OSDU – Nice to have
- Oracle - Nice to have
- MongoDB – Nice to have
- Azure:
- PaaS
- Storage Accounts - Containers
- Subscriptions, Resource groups - Nice to have
- Agile Scrum
- Experience
- Advanced querying and modeling techniques
- Working with Time Series Data
- Working with REST APIs for Ingesting/Querying data
-
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 AI, ML, Data Science Salary Index 💰
Tags: Agile APIs Azure Databricks Data quality DevOps Docker ETL GitHub MongoDB Oracle Pandas Power BI Privacy PySpark Python Scrum Snowflake Spark Spotfire SQL Tableau
Perks/benefits: Flex hours
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