Remote Data Engineer - Azure Synapse & ETL

Bluelight Consulting LLC; Chimbote; Remote; PEN 103,519 - 241,546; Full time

Benefits offered by this job

Competitive salary and bonuses

Generous paid time off

Flexible working hours

Continuing education and training

Company-sponsored coursework and certifications

Job summary

Bluelight Consulting LLC, located in Chimbote, Peru, is seeking a skilled Data Engineer to join their rapidly growing team. The position entails developing and maintaining ETL processes, utilizing Azure Synapse Analytics, and collaborating with cross-functional teams to enhance data management capabilities. Candidates should have a Bachelor's degree in Computer Science or a related field and experience in ETL data engineering, especially with Python (PySpark). Competitive salary, flexible hours, and remote work options are offered.

Qualifications

• Experience in ETL data engineering with Python (PySpark).
• Proficiency in Azure Synapse Analytics including Pipelines and Notebooks.
• Ability to write complex SQL queries and optimize performance.

Responsibilities

• Develop and maintain ETL processes in Azure Synapse Analytics.
• Design and build effective data storage structures.
• Collaborate with cross-functional teams on data-related initiatives.

Skills

Python (PySpark)

Azure Synapse Analytics

SQL

Data Warehousing

Data Modeling

Version Control (Git)

Data Visualization Tools

Education

Bachelor’s degree in Computer Science or related field

Azure Data Engineer certification

Tools

Azure Key Vault

Power BI

Tableau

Job description

Bluelight Consulting LLC, located in Chimbote, Peru, is seeking a skilled Data Engineer to join their rapidly growing team. The position entails developing and maintaining ETL processes, utilizing Azure Synapse Analytics, and collaborating with cross-functional teams to enhance data management capabilities. Candidates should have a Bachelor's degree in Computer Science or a related field and experience in ETL data engineering, especially with Python (PySpark). Competitive salary, flexible hours, and remote work options are offered.