Azure Data Engineer - Remote, Latin America
Remote · Antofagasta, Antofagasta, Chile
Job Summary
ETL Data Engineer to design, develop, and maintain ETL data engineering processes using Python (PySpark) within Azure Synapse Analytics Notebooks and/or Azure Synapse Analytics Pipelines, ensuring accurate and available analytical data. Responsibilities include data warehousing design using star schemas, extracting data from REST APIs, SQL tables, and CSV files, leveraging Azure Synapse Analytics for scalable notebooks/pipelines, exploring data fabric concepts (data lakes, lakehouses, delta lakes, and data cataloging), collaborating with data architects on data models, implementing data quality checks, optimizing ETL notebooks/pipelines to meet SLAs, monitoring and troubleshooting data pipelines, documenting ETL processes, and ensuring security and compliance. The role collaborates with data scientists, analysts, and cross-functional teams in a fast-paced consultancy environment, with a remote-friendly setup across Latin America.
Required Qualifications
- Bachelor’s degree in Computer Science, Information Technology, or a related field; or equivalent work experience
- certifications related to data engineering or data science (e.g. Azure Data Engineer) being a plus
- Proven experience in ETL data engineering with significant expertise in using Python (PySpark) to perform data extraction, transformation, and loading from REST APIs, SQL database tables, and CSV files
- Proficiency in using Azure Synapse Analytics resources including Notebooks, Pipelines, Linked Services, and Azure Key Vault
- Demonstrated ability to write complex SQL queries, optimize query performance, and work with both SparkSQL and MS SQL to effectively extract, transform, and load data
- Knowledge of data integration best practices and tools
- Experience with version control systems, such as Git (Azure DevOps)
- Strong problem-solving and analytical skills, with a keen attention to detail
- Excellent communication skills, both verbal and written, with the ability to work collaboratively in a team environment with shifting priorities
- Familiarity with big data technologies, machine learning, and data analysis preferred
- Experience with data visualization tools (e.g. Power BI, Tableau) and Agile Methodologies a plus
Apply with one swipe on Sorce. We auto-fill applications and apply on your behalf — no cover letters, no 40-minute forms.
Hiring someone like this?
Get your role in front of qualified candidates on Sorce.