Azure Data Engineer – ETL & Analytics in the Cloud

Bluelightconsulting; Lima Metropolitana; A distancia; PEN 90.000 - 150.000; Jornada completa

Descripción de la vacante

Bluelight is seeking a data engineer to develop and maintain ETL pipelines using PySpark in Azure Synapse. You will design data models, extract from REST APIs, SQL and CSV, and ensure scalable, well-documented processes.

You will collaborate with data architects, implement quality checks, optimize performance, and contribute to governance and data lakes in a dynamic, growth‑oriented environment.

Formación

• Bachelor’s degree or equivalent with data engineering focus; Azure Data Engineer cert is a plus.
• Proven ETL experience using Python (PySpark) to extract, transform, load from REST APIs, SQL tables, and CSV files.
• Proficiency with Azure Synapse resources including Notebooks, Pipelines, Linked Services, and Key Vault.
• Ability to write complex SQL queries; work with SparkSQL and MS SQL for data processing.
• Knowledge of data integration best practices and tools.
• Experience with version control systems such as Git (Azure DevOps).
• Strong problem-solving, analytical skills, and attention to detail.
• Excellent communication and teamwork; able to adapt to shifting priorities.
• Familiarity with big data concepts, ML, and data analysis preferred.
• Experience with data visualization tools (Power BI, Tableau) and Agile methodologies a plus.

Responsabilidades

• Develop and maintain ETL data engineering processes using Python (PySpark) in Azure Synapse Notebooks and Pipelines.
• Design data storage structures in an MPP SQL pool using star schemas, facts, and dimensions.
• Extract data from REST APIs, SQL tables, and CSV files.
• Optimize data notebooks/pipelines for scalability and performance with Azure Synapse.
• Collaborate with data architects to align data models with business requirements.
• Implement data quality checks and validation to ensure accuracy and consistency.
• Monitor ETL jobs, diagnose issues, and resolve bottlenecks to meet SLAs.
• Maintain documentation of ETL processes, data flows, and transformations.
• Ensure data security and comply with governance and privacy standards.

Conocimientos

Python (PySpark)

SQL

SparkSQL

REST APIs

Data warehousing

ETL

Educación

Bachelor’s degree in Computer Science, Information Technology, or related field

Azure Data Engineer certification

Herramientas

Azure Synapse Analytics

Power BI

Git (Azure DevOps)

Descripción del empleo

Bluelight is seeking a data engineer to develop and maintain ETL pipelines using PySpark in Azure Synapse. You will design data models, extract from REST APIs, SQL and CSV, and ensure scalable, well-documented processes.

You will collaborate with data architects, implement quality checks, optimize performance, and contribute to governance and data lakes in a dynamic, growth‑oriented environment.