Azure Data Engineer - Remote Job

Lima, Peru

Applications have closed

Bertoni Solutions

We are a technology consulting company specializing in digital transformation, IT staff augmentation, custom software development and quality assurance.

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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

We are looking for professionals with strong Azure experience to incorporate to our talent pool for future vacancies (short or medium term).

The benefit of being part of our talent pool, is that when we evaluate you, you would already have the process advanced and it would only be a matter of talking when the position opens to confirm if you are interested. Besides the fact that we will always have you as a priority every time there is a vacancy that matches your profile.

Qualifications

  • Only for residents in Latin America
  • 5 to 8+ years of data engineering experience
  • Experience with Azure: Azure SQL Data warehouse, Synapse, Azure Data Factory, Azure Data Lake, among others.
  • Knowledge and experience with SQL / T-SQL
  • Experience with Enterprise Data Warehouse, ETL, data modeling and design, among others
  • Experience with Spark / PySpark
  • Advanced English

Desirable:

  • Experience with Scala, Python, Databricks.
  • 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 T-SQL

Regions: Remote/Anywhere South America
Country: Peru
Job stats:  17  0  0
Category: Engineering Jobs

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