Azure Data Engineer — ETL & Synapse Specialist (Remote)

Bluelight Consulting LLC; Medellín; Remote; COP 109,521,027 - 146,028,037; Full time

Benefits offered by this job

Competitive salary and bonuses

Generous paid-time-off policy

Flexible working hours

Work remotely

Continuing education, training, conferences

Job summary

Bluelight Consulting LLC, based in Medellín, Colombia, is hiring an ETL Data Engineer to enhance their data engineering processes. The ideal candidate will develop high-quality applications, utilizing their deep knowledge of Azure Synapse Analytics and Python (PySpark) to streamline data extraction, transformation, and loading.

In addition to competitive salary and bonuses, the role offers generous paid time off, flexible working hours, and opportunities for continuing education and training.

Qualifications

• Bachelor’s degree in Computer Science or related field; or equivalent work experience.
• Proven experience in ETL data engineering with significant expertise using Python (PySpark).
• Proficiency in Azure Synapse Analytics resources including Notebooks and Pipelines.

Responsibilities

• Develop and maintain ETL data engineering processes using Python and Azure Synapse Analytics.
• Design and build data storage structures in a Massively Parallel Processing (MPP) SQL Pool.
• Implement data quality checks and maintain data accuracy and consistency.

Skills

Python (PySpark)

Azure Synapse Analytics

ETL Data Engineering

SQL

Data Warehousing

Data Quality

Collaboration

Problem-Solving

Education

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

Tools

Azure Key Vault

Version Control (Git, Azure DevOps)

Data Visualization Tools (Power BI, Tableau)

Job description

Bluelight Consulting LLC, based in Medellín, Colombia, is hiring an ETL Data Engineer to enhance their data engineering processes. The ideal candidate will develop high-quality applications, utilizing their deep knowledge of Azure Synapse Analytics and Python (PySpark) to streamline data extraction, transformation, and loading.

In addition to competitive salary and bonuses, the role offers generous paid time off, flexible working hours, and opportunities for continuing education and training.