Intermediate Data Engineer

This is a remote position.

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

Compensation:
USD 20 - 25/hour.

Location:
Remote (for México, Guatemala, Colombia, Perú, Chile, Argentina, Paraguay, Brasil, Honduras, Jamaica, Dominican, Belice, Spain, United States, Canadá, Kenya, South Africa, India, and Filipinas residents).
Mission of Softgic:
In Softgic S.A.S. we work for the digital and cognitive transformation of our clients, aware that quality is an essential factor for us, we incorporate the following principles into our policy:

• Deliver quality products and services.
  
• Achieve the satisfaction of our internal and external clients.
  
• Encourage in our team the importance of training to grow professionally and personally through development plans.
  
• Comply with the applicable legal and regulatory requirements.
  
• Promote continuous improvement of the quality management system.
  

What makes you a strong candidate:

• You have 3+ years of experience in data framework and pipeline development.
  
• You are proficient in Scala.
  
• You are beginner in Apache Spark.
• English - Native or fully fluent.
  

Responsibilities and more:
This vacancy is 100% On-site in: Colombia, Guatemala, Mexico, Peru, Chile, Belize, United States, Canada, Spain, Dominican Republic, Jamaica, Honduras, Brazil, Paraguay, Argentina, South Africa, Kenya, India, Philippines.

We are seeking a Data Engineer to help transform our data infrastructure, migrating from relational databases to a modern big data architecture. You will play a key role in defining event-driven data feeds, improving automation, and enhancing observability, alerting, and performance.

We’ve built a strong data engineering team to date, but have a lot of work ahead of us,
including:

• Migrating from relational databases to a streaming and big data architecture, including a complete overhaul of our data feeds.
  
• Defining streaming event data feeds required for real-time analytics and reporting.
  
• Leveling up our platform, including enhancing our automation, test coverage, observability, alerting, and performance.
  

Responsibilities:

• Build our next generation data warehouse.
  
• Build our event stream platform.
  
• Translate user requirements for reporting and analysis into actionable deliverables.
  
• Enhance automation, operation, and expansion of real-time and batch data environment.
  
• Manage numerous projects in an ever-changing work environment.
  
• Extract, transform, and load complex data into the data warehouse using cutting-edge technologies.
  
• Build processes for topnotch security, performance, reliability, and accuracy.
  
• Provide mentorship and collaborate with fellow team members.
  

Requirements

Qualifications:

• Bachelor’s or Master’s degree in Computer Science, Information Systems, Operations
  
• Research, or related field required.
  
• 3+ years of experience building data pipelines.
  
• 3+ years of experience building data frameworks for unit testing, data lineage tracking, and automation.
  
• Fluency in Scala is required.
  
• Working knowledge of Apache Spark.
  
• Familiarity with streaming technologies (e.g., Kafka, Kinesis, Flink).
  

Nice-to-Haves:

• Experience with Machine Learning.
  
• Familiarity with Looker a plus.
  
• Knowledge of additional server-side programming languages (e.g. Golang, C#, Ruby).
  

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.