Azure Data Engineer - Remote, Latin America
Remote · Peru
Job Summary
Azure Data Engineer - Remote Latin America: Join Bluelight as an ETL Data Engineer responsible for designing, developing, and maintaining data integration processes using Python (PySpark) and Azure Synapse Analytics to ensure accurate and available analytical data. Collaborate with data scientists, analysts, and stakeholders to deliver high-quality data for insights, build scalable ETL pipelines/notebooks, implement data quality checks, optimize performance, and document data flows and transformations. Key focus areas include data warehousing with star schemas, data source extraction (REST APIs, SQL tables, CSVs), data modeling, data governance, and enabling visualization through tools like Power BI or Tableau. Strong emphasis on collaboration, continuous learning, and contribution to challenging data engineering projects across a Latin American footprint.
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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