Remote Azure Data Engineer: ETL, Synapse & Warehousing

Bluelight Consulting LLC; Chiclayo; A distancia; PEN 102.459 - 170.765; Jornada completa

Ventajas ofrecidas por este puesto de trabajo

Competitive salary and bonuses

Generous paid-time-off policy

Flexible working hours

Remote work options

Continuing education and training

Descripción de la vacante

Bluelight Consulting LLC in Chiclayo, Peru, seeks a skilled ETL Data Engineer to develop and maintain data processes using Python and Azure Synapse. The role involves working with cross-functional teams to optimize data models and ensure data quality.

The ideal candidate must have a degree in Computer Science or equivalent experience, with strong expertise in ETL processes and data warehousing. Enjoy flexible working hours, competitive salary, and continuous training opportunities.

Formación

• Proven experience in ETL data engineering using Python (PySpark) for data extraction and transformation.
• Proficiency in Azure Synapse Analytics and its related resources.
• Strong analytical and problem-solving skills with attention to detail.

Responsabilidades

• Develop and maintain ETL processes using PySpark within Azure Synapse.
• Collaborate to design data models that meet business needs.
• Monitor ETL jobs and implement solutions for reliability.

Conocimientos

ETL Data Engineering

Python (PySpark)

SQL

Azure Synapse Analytics

Data Warehousing

Data Quality Checks

Performance Tuning

Collaboration

Communication Skills

Educación

Bachelor's degree in Computer Science or related field

Herramientas

Azure Key Vault

Power BI

Tableau

Git (Azure DevOps)

Descripción del empleo

Bluelight Consulting LLC in Chiclayo, Peru, seeks a skilled ETL Data Engineer to develop and maintain data processes using Python and Azure Synapse. The role involves working with cross-functional teams to optimize data models and ensure data quality.

The ideal candidate must have a degree in Computer Science or equivalent experience, with strong expertise in ETL processes and data warehousing. Enjoy flexible working hours, competitive salary, and continuous training opportunities.