Data Engineer (Azure)

Applaudo

Bogotá

Presencial

COP 160.192.230 - 240.288.346

Jornada completa

14 días+

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Ventajas ofrecidas por este puesto de trabajo

Work from home
Celebrations
Entertainment area
Great work environment
Private medical insurance

Descripción de la vacante

A leading tech company in Bogotá is seeking a Mid-Senior level data engineer to develop and maintain data architectures. The ideal candidate will have strong Azure skills, including expertise in Transact-SQL and experience with data storage solutions. Join a dynamic team committed to professional growth and a great work environment.

Formación

  • Strong proficiency in Azure services.

Responsabilidades

  • Develop, construct, test, and maintain architectures and datasets.
  • Coordinate development with stakeholders.
  • Perform data explorations to understand data.
  • Deliver aggregated data to business executives and analysts.
  • Prepare data for predictive and prescriptive modeling.

Conocimientos

Proficiency in Transact-SQL (T-SQL)
Experience with Azure data storage solutions
Knowledge of serverless architecture
Experience with Azure Data Factory
Familiarity with data streaming architectures in Azure
Full Professional Proficiency in English

Educación

Bachelor’s degree in Computer Science or related fields

Descripción del empleo

Overview

1 week ago Be among the first 25 applicants

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You are someone who wants to influence your own development. You’re looking for a company where you have the opportunity to pursue your interests and be able to grow professionally.

You bring to Applaudo the following competencies:

  • Bachelor’s degree or higher in Computer Science, Computer Engineering, related fields, or equivalent experience.
  • Strong proficiency in Transact-SQL (T-SQL), query optimization, and performance tuning in SQL Server.
  • Experience with data storage solutions in Azure (Blob Storage, Data Lake, Azure SQL).
  • Knowledge of serverless architecture for data processing (e.g., Azure Functions, Event Grid).
  • Solid experience with Azure Data Factory and Logic Apps for data integration and automation.
  • Familiarity with Databricks for scalable data engineering.
  • Familiarity with data streaming architectures in Azure (Event Hubs, Stream Analytics).
  • Experience in data warehousing solutions and dimensional modeling using Azure Synapse or similar.
  • Understanding of CI/CD principles and version control for data pipelines.
  • English Full Professional Proficiency.
Responsibilities
  • Develop, construct, test and maintain architectures and datasets that meet functional / non-functional business requirements.
  • Coordinate the development with stakeholders, project managers, data architects, data analysts and others.
  • Perform data explorations to know the data to be processed.
  • Identify ways to improve data reliability, efficiency and quality.
  • Deliver aggregated data to business executives, analysts and end users so they can analyze it and apply the results to improving business operations.
  • Prepare data for predictive and prescriptive modeling.
Qualifications
  • Strong proficiency in Azure services.
Additional Information

Here at Applaudo Studios values as trust, communication, respect, excellence and team work are our keys to success. We know we are working with the best and thus treat each other with respect and admiration without asking.

Submit your application today, and don't miss this opportunity to join the Best Digital team in the Region!

We truly appreciate all the hard and outstanding work our team makes every day at Applaudo Studios, and that's why the perks that we offer, are deeply thought and designed as a way to thank them for their commitment and excellence.

Benefits

Some of our perks and benefits:

  • Work from home
  • Celebrations
  • Entertainment area
  • Great work environment
  • Private medical insurance

*Benefits may vary according to your location and/or availability. Request further information when applying.

Seniority level
  • Mid-Senior level
Employment type
  • Full-time
Job function
  • Industries

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