Senior Integration Software Engineer - Data

The Senior Integration Software Engineer role involves designing, developing, testing, and maintaining API & Integration solutions using Microsoft Azure Integration Services. The developer will collaborate with cross-functional teams to gather requirements, optimize performance, and ensure scalability and reliability.

Key skills include proficiency in Azure Integration Services, C#, .NET, RESTful APIs, relational databases, and implementing best practices for code quality and security.

Responsibilities

- Design, develop, and maintain data pipelines and ETL processes using Microsoft Azure services (e.g., Azure Data Factory, Azure Synapse, Azure Databricks, Microsoft Fabric).

- Utilize Azure Data Lake Storage Gen2 and Azure Blob Storage for organizing and maintaining data pipeline outputs.

- Collaborate with data scientists, data analysts, data architects, and other stakeholders to understand data requirements and deliver high-quality data solutions.

- Optimize data pipelines in the Azure environment for performance, scalability, and reliability.

- Ensure data quality and integrity through data validation techniques and frameworks.

- Develop and maintain documentation for data processes, configurations, and best practices.





- Monitor and troubleshoot data pipeline issues to ensure timely resolution.

- Stay current with industry trends and emerging technologies to ensure data solutions remain current and effective.

- Manage the CI/CD process for deploying and maintaining data solutions.

Required Qualifications

- Bachelor's degree in Computer Science, Engineering, or a related field (or equivalent experience) with strong programming fundamentals.

- 7+ years of experience as a Data Engineer or in a similar role working with data and ETL processes.

- Strong knowledge of Microsoft Dynamics and Microsoft Azure services, including Azure Data Factory, Azure Synapse, Azure Databricks, Azure Blob Storage, and Azure Data Lake Storage Gen2.

- Experience writing efficient SQL DML queries against relational databases such as SQL Server and PostgreSQL.

- Strong understanding of Software Engineering principles and their application to Data Engineering (CI/CD, version control, testing, etc.).

- Experience with big data technologies such as Apache Spark.

- Strong problem-solving skills and attention to detail.

- Excellent communication and collaboration skills.

📌 Software Engineer III (Argentina)
🏢 S3 Int
📍 Argentina