Azure Data Engineer - Remote, Latin America
Remote · Chimbote, Ancash, Peru
Job Summary
ETL Data Engineer to design, develop, and maintain data integration processes using Python (PySpark) within Azure Synapse Analytics Notebooks and Pipelines, ensuring accurate and available analytical data. Collaborate with data scientists and analysts, implement data quality checks, optimize ETL jobs for performance and SLAs, model data schemas with stakeholders, and contribute to data fabric concepts (data lakes/lakehouses). Proficient in Azure Synapse Analytics, SQL (SparkSQL/MS SQL), REST API data sources, and data visualization tools. Emphasis on collaboration, documentation, and secure data handling in a fast-paced consulting environment.
Required Qualifications
- Bachelor’s degree in Computer Science, Information Technology, or a related field; or equivalent work experience, with 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.
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