Offer summary

Qualifications:

Bachelor’s or Master’s degree in Computer Science or related field required., 3+ years of experience building data pipelines and frameworks., Proficiency in Scala and working knowledge of Apache Spark is essential., Fluency in English is required. .

Key responsabilities:

Build the next generation data warehouse and event stream platform.

Define streaming event data feeds for real-time analytics and reporting.

Enhance automation and performance of real-time and batch data environments.

Provide mentorship and collaborate with team members on various projects.

Job description

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).