Data Engineer (Azure) - Remote, Latin America
Core
Design, develop, and maintain ETL data integration processes and data warehousing structures to ensure accurate analytical data for insights and decision-making.
Role type
ETL Data Engineer
Builds
Data pipelines, data warehouses, and data models
Domain
Cloud data engineering (Azure)
Deliverable
production ML models | product features | dashboards & analysis
Required skills
Python (PySpark), Azure Synapse Analytics, SQL (SparkSQL, MS SQL), Data Warehousing (Star Schemas), Data Modeling, Data Quality Checks, Performance Tuning, Git, REST API integration
Preferred skills
Azure Data Engineer certification, Big Data technologies, Machine Learning, Data Analysis, Data Visualization (Power BI, Tableau), Agile Methodologies
Technologies
Azure Synapse Analytics, PySpark, Azure Key Vault, Git/Azure DevOps, REST APIs, Delta Lakes
Responsibilities
Develop and maintain ETL processes using Python and Azure Synapse; Design and build data storage structures in MPP pools; Extract data from REST APIs, databases, and CSV files; Optimize data notebooks and pipelines for scalability; Implement data quality checks and validation; Collaborate on data models and schemas; Monitor ETL jobs and troubleshoot issues; Document data flows and transformations.
Seniority
Mid-Senior, hands-on IC
