Remote Azure Data Engineer - ETL & Synapse Expert

Bluelight Consulting LLC; Cuzco; Remote; PEN 119,535 - 187,841; Full time

Benefits offered by this job

Competitive salary and bonuses

Generous paid-time-off policy

Flexible working hours

Work remotely

Continuing education and training

Job summary

Bluelight Consulting LLC is seeking a skilled ETL Data Engineer to develop and maintain data processes using Python (PySpark) within Azure Synapse Analytics. In this role, you'll design data storage structures and ensure data quality, contributing to impactful projects in a collaborative environment.

Ideal candidates will possess a Bachelor's degree in Computer Science and relevant ETL experience. The position offers competitive salary, flexible hours, and opportunities for professional development.

Qualifications

• Bachelor's degree in Computer Science or related field; equivalent experience with data engineering certifications is a plus.
• Experience in ETL data engineering using Python (PySpark) for data extraction and transformation.
• Proficient in Azure Synapse Analytics, including Notebooks and Pipelines.

Responsibilities

• Develop and maintain ETL processes for data extraction, transformation, and loading.
• Design effective data storage structures in MPP SQL Pool.
• Collaborate with data architects to create data models aligned with business requirements.

Skills

ETL Data Engineering

Python (PySpark)

Data Warehousing

Azure Synapse Analytics

SQL Queries

Data Quality Checks

Documentation

Problem-solving

Version Control (Git)

Data Visualization Tools

Education

Bachelor's degree in Computer Science or related field

Tools

Azure Synapse Analytics

Power BI

Tableau

Git (Azure DevOps)

Job description

Bluelight Consulting LLC is seeking a skilled ETL Data Engineer to develop and maintain data processes using Python (PySpark) within Azure Synapse Analytics. In this role, you'll design data storage structures and ensure data quality, contributing to impactful projects in a collaborative environment.

Ideal candidates will possess a Bachelor's degree in Computer Science and relevant ETL experience. The position offers competitive salary, flexible hours, and opportunities for professional development.