Senior Data Engineer / Full Remote / U$S

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Descripción del empleo:

Responsibilities

• Design, develop, and maintain robust and scalable data pipelines using Azure Data Factory, Databricks, and other Azure-native tools.
• Collaborate with cross-functional teams, including software developers, database architects, and data analysts, to ensure seamless data integration and delivery.
• Transform raw data into clean, structured datasets optimized for analysis and reporting.
• Develop solutions that enable real-time and batch data processing using Azure Synapse and high-speed indexing technologies.
• Implement best practices for CI/CD pipelines, automated testing, version control, and production deployment of data solutions.
• Ensure data quality, consistency, and governance by using tools such as Power BI and Microsoft Purview.
• Troubleshoot and maintain data infrastructure and support analytics applications and data warehouse environments.
• Support ongoing data initiatives by ensuring a consistent and reliable data architecture across projects.
• Contribute to architectural decisions and solution design, leveraging expertise in data modeling, distributed systems, and automation.

Requirements

• 4+ years of industry experience in data engineering and building world class data solutions.
• Excellent communication skills and a passion for collaborating with a diverse team and help foster an environment that promotes effective teamwork, communication, collaboration, and commitment.
• Assure that data is cleansed, mapped, transformed, and otherwise optimized for storage and use according to business and technical requirements
• Develop and maintain innovative Azure solutions
• Solution design using Microsoft Azure services and other tools
• The ability to automate tasks and deploy production standard code (with unit testing, continuous integration, versioning etc.)
• Load transformed data into storage and reporting structures in destinations including data warehouse, high speed indexes, real-time reporting systems and analytics applications
• Build data pipelines to collectively bring together data
• Other responsibilities include extracting data, troubleshooting and maintaining the data warehouse
• Assist software developers, database architects, data analysts, and data scientists with data initiatives and ensuring a consistent data delivery architecture is put in place throughout ongoing projects.

Qualifications

• Bachelors degree in computer science or equivalent experience.
• Inclusive of Data Warehouse fact and dimensional modeling concepts
• Experience in Azure Synapse, Visual Studio, Azure DevOps, CI/CD, Pipelines, Data Factory, Python, Databricks, SQL
• Experience with data tools such as Power BI and Purview
• Expertise with cloud automation tooling such as ARM Templates
• Experience with distributed (multi-tiered) systems and databases
• Strong analytic skills related to working with unstructured datasets
• The ability to design and implement well written code
• Ability to work to tight deadlines
• Ability to test the data from source to the presentation layer
• Ability to support/troubleshoot data pipelines

How to Submit an Application:

After reading and knowing the criteria and minimum requirements for qualifications that have been explained from the Senior Data Engineer / Full Remote / U$S job info - Web: Buenos Aires, Buenos Aires above, thus jobseekers who feel they have not met the requirements including education, age, etc. and really feel interested in the latest job vacancies Senior Data Engineer / Full Remote / U$S job info - Web: Buenos Aires, Buenos Aires in 2025-05-05 above, should as soon as possible complete and compile a job application file such as a job application letter, CV or curriculum vitae, FC diploma and transcripts and other supplements as described above, in order to register and take part in the admission selection for new employees in the company referred to, sent via form this bottom.