Senior Azure Data Engineer - Remote Job
Lima, Peru
Bertoni Solutions
We are a technology consulting company specializing in digital transformation, IT staff augmentation, custom software development and quality assurance.Company Description
We are a multinational team of individuals who believe that with the right knowledge and approach, technology is the answer to the challenges that business face today. We have been bringing this knowledge and approach to our customers since 2016, helping them translate technology into their success.
With Swiss roots and our own development team in Lima and throughout the region, we offer the best of both cultural areas: the talent and passion of Latin American professionals combined with Swiss organization skills and mindset.
Job Description
Bertoni Solutions is looking for a Senior Azure Data Engineer.
At this moment, we are looking for candidates for a future role; our client expects to first hire someone in the USA, and then consider talent in Latin America; and in the meantime, we are sounding out the market for our talent pool.
By being part of our talent pool, you gain the advantage of having your evaluation process already underway. When a position opens up, all that remains is a conversation with us to confirm your interest. Additionally, we ensure that you will always be considered for any relevant vacancies that align with your profile.
Qualifications
This position is only available for applicants located/living in Latin America.
- 6 to 8+ years of experience in data engineering
- Experience with Azure: Azure SQL Data warehouse, Synapse, Azure Data Factory, Azure Data Lake, among others
- Knowledge and experience with SQL
- Experience in Enterprise Data Warehouse, ETL, data modeling and design, among others
- Experience with Spark / PySpark
- Experience with Scala and/or Python
- Experience with Databricks
- Advanced English
Desirable:
- Snowflake
- PowerBI
* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰
Tags: Azure Databricks Data warehouse Engineering ETL Power BI PySpark Python Scala Snowflake Spark SQL
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