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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 logo
Softgic
51 - 200 Employees
About Softgic
We are a young and growing company, with operations in Medellin and Bogota, focused on the generation of technological solutions in synergy with our customers and our team so that these solutions add value within their organizations and their business processes.
See more Softgic offers

Job description

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.

Preferred Qualifications:
  • Experience with Snowflake and Azure cloud platforms.
  • Knowledge of other data modeling techniques and database management systems.
  • Experience with machine learning and data science tools and frameworks.
  • Experience with Sigma data visualization tools.
Benefits
  • We're certified as a Great Place to Work.
  • Opportunities for advancement and growth.
  • Paid time off.
  • Formal education and certifications support.
  • Benefits with partner companies.
  • Referral program.
  • Flexible working hours.

Salary:

USD 25 - 30/hour

Required profile

Experience

Level of experience: Senior (5-10 years)
Spoken language(s):
English
Check out the description to know which languages are mandatory.
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