Azure Data Engineer III — Build Scalable Data Pipelines

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

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.