Data Engineer (Azure)

Strategic Staffing Solutions; Argentina; Presencial; ARS 1.500.000 - 3.000.000; Jornada completa

Descripción de la vacante

Strategic Staffing Solutions seeks a Data Engineer III to design, develop and optimize scalable data platforms on Microsoft Azure. You will build pipelines, ensure data quality, and collaborate with data scientists and analysts to deliver high-quality data solutions.

With 7+ years in data engineering, you will apply SQL DML on SQL Server and PostgreSQL, leverage Spark for big data processing, and own CI/CD for data deployments while documenting configurations and best practices.

Formación

• Bachelor’s degree in computer science, engineering, or related field (or equivalent).
• 7+ years of experience as a Data Engineer or similar role with ETL.
• Proficient in SQL DML querying of modern RDBMS (e.g., SQL Server, PostgreSQL).
• Strong software engineering practices: CI/CD, version control, testing.
• Experience with big data tech (e.g., Spark).
• Excellent communication and collaboration skills.

Responsabilidades

• Design, develop, and optimize scalable data platforms and pipelines on Microsoft Azure.
• Utilize Azure storage accounts (Gen 2, Blob) to organize pipeline outputs.
• Collaborate with data scientists, analysts, and architects to meet data requirements.
• Ensure data quality and integrity through validation techniques and frameworks.
• Monitor and troubleshoot data pipelines for performance and reliability.
• Maintain CI/CD processes for deploying data solutions and documentation.
• Stay current with industry trends to keep data solutions cutting-edge.

Conocimientos

Azure

SQL DML

Spark

CI/CD

Version control

Data pipelines

Data quality

Educación

Bachelor's degree in Computer Science or Engineering

Herramientas

Azure Data Lake Storage Gen 2

Azure Blob storage

SQL Server

PostgreSQL

Descripción del empleo

We are looking for a Data Engineer III to join our Data Engineering team. In this role, you will design, develop, and optimize scalable data platforms and pipelines on Microsoft Azure, enabling analytics, reporting, and business intelligence across the organization.

Key Responsibilities

• Utilize Azure data storage accounts for organizing and maintaining data pipeline outputs. (e.g., Azure Data Lake Storage Gen 2 & Azure Blob storage).
• 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 our data solutions remain cutting-edge.
• Manage the CI/CD process for deploying and maintaining data solutions.
• Bachelor’s degree in computer science, Engineering, or a related field (or equivalent experience) and able to demonstrate high proficiency in programming fundamentals.
• Proven experience (7+ years) as a Data Engineer or similar role dealing with data and ETL processes.
• Experience utilizing SQL DML to query modern RDBMS in an efficient manner (e.g., SQL Server, PostgreSQL).
• Strong understanding of Software Engineering principles and how they apply to Data Engineering (e.g., CI/CD, version control, testing).
• Experience with big data technologies (e.g., Spark).
• Strong problem-solving skills and attention to detail.
• Excellent communication and collaboration skills