Data Engineer (Azure)

Applaudo Studios; Lima Metropolitana; Presencial; PEN 104,000 - 175,000; Jornada completa

Descripción de la vacante

A leading digital company in Lima is seeking a professional with a Bachelor's degree in Computer Science. The role requires strong proficiency in SQL and Azure services for data engineering and architecture responsibilities. You will develop and maintain data processes, coordinate with stakeholders, and enhance data quality. Join us for a supportive work culture with comprehensive perks.

Servicios

Celebrations

Special discounts

Entertainment area

Modern Work Spaces

Private medical insurance

Formación

• Strong proficiency in Azure services.

Responsabilidades

• Develop, construct, test and maintain architectures and datasets.
• Develop optimal data transformation processes and pipelines.
• Coordinate development with various stakeholders.
• Perform data explorations and improve data reliability.

Conocimientos

Transact-SQL (T-SQL)

Data storage solutions in Azure

Serverless architecture for data processing

Azure Data Factory

Dimensional modeling using Azure Synapse

Data streaming architectures in Azure

Full Professional Proficiency in English

Educación

Bachelor’s degree in Computer Science or related fields

Descripción del empleo

Overview

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.

You will be accountable for the following responsibilities

• Develop, construct, test and maintain architectures and datasets that meet functional / non-functional business requirements.
• Develop optimal data transformation processes, pipelines, data migration into useful, actionable information.
• Coordinate the development with stakeholders, project managers, data architects, data analysts and others.
• Store data in data structure defined.
• 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:

• Celebrations
• Special discounts*
• Entertainment area*
• Modern Work Spaces*
• Great work environment
• Private medical insurance*

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