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Data Engineer

Remote:

Full Remote

Contract:

Full time

Experience:

Senior (5-10 years)

Work from:

Colombia

Offer summary

Qualifications:

Bachelor's degree in relevant field, 5+ years of data engineering experience, Proficiency in Snowflake, Azure Data Factory, Apache Spark, and SQL.

Key responsabilities:

Design, develop, maintain ETL/ELT pipelines
Create/maintain star schema data models
Collaborate with data analysts/business stakeholders
Optimize SQL queries for data processing
Stay updated on data engineering technologies

Softgic

51 - 200 Employees

See more Softgic offers

Job description

Your missions

This is a remote position.

At Softgic, we work with the sharpest minds, with those who build, with those who love what they do, with those who have a 100% in attitude, because that's our #Coolture. Join our purpose of making life easier with technology and be part of our team as Data Engineer.

Responsibilities:

• Design, develop, and maintain scalable ETL/ELT pipelines using Snowflake and Azure Data Factory.

• Implement data processing solutions with Azure Data Factory and Snowpipe for large-scale processing.

• Develop and optimize SQL queries for data extraction, transformation, and loading.

• Create and maintain star schema data models for business intelligence and reporting.

• Conduct data analysis and validation to ensure accuracy and integrity.

• Collaborate with data analysts to meet business data requirements.

• Write and maintain SQL scripts for automation and integration tasks.

• Utilize Sigma for data visualization and reporting.

• Monitor and troubleshoot data pipelines for reliable data flow and performance.

• Stay updated with trends and technologies in data engineering and analytics.

Requirements

Bachelor’s degree in Computer Science, Information Technology, Data Science, or a related field.
5+ years of experience in data engineering or a related role.
Proficiency in Snowflake and Azure Data Factory for data warehousing and ETL/ELT processes.
Strong experience with Apache Spark for big data processing.
Solid understanding of star schema data modeling and its application in data warehousing.
Advanced SQL skills for data manipulation and query optimization.
Knowledge of Python for scripting and data processing tasks is a plus.
Experience with data visualization tools.