
Cloud • Cybersecurity • Artificial Intelligence
Softgic is a technology company focused on driving digital and cognitive transformation for its clients. With over 12 years of experience, Softgic provides innovative and tailored solutions across various areas, including software development, cloud data security, the metaverse, and automation. Their approach combines design, coding, and implementation to enhance business processes and ensure security and efficiency in technological infrastructure.
51 - 200 employees
Founded 2011
🔒 Cybersecurity
🤖 Artificial Intelligence
August 26
🗣️🇪🇸 Spanish Required

Cloud • Cybersecurity • Artificial Intelligence
Softgic is a technology company focused on driving digital and cognitive transformation for its clients. With over 12 years of experience, Softgic provides innovative and tailored solutions across various areas, including software development, cloud data security, the metaverse, and automation. Their approach combines design, coding, and implementation to enhance business processes and ensure security and efficiency in technological infrastructure.
51 - 200 employees
Founded 2011
🔒 Cybersecurity
🤖 Artificial Intelligence
• Design, build, and maintain scalable data streaming platforms and data warehouses to support product data foundations. • Collaborate with development teams to deliver reliable, high-performance data solutions. • Implement and optimize ETL pipelines and complex data transformations. • Work with Databricks, Spark, and programming languages (Scala or Python) to process and analyze large-scale datasets. • Ensure data accuracy, consistency, and security across systems. • Contribute to performance tuning, troubleshooting, and improving data workflows. • Partner with cross-functional teams to define data requirements and deliver business insights.
• 4+ years of experience as a Data Engineer. • Strong experience coding in Scala or Python. • Hands-on experience with Databricks. • Solid knowledge of Apache Spark and distributed data processing. • Experience with data warehousing and data streaming platforms. • Knowledge of Python Spark libraries (e.g., PySpark) for data querying and transformations. • Proven ability to design and implement complex data transformations. • Familiarity with Snowflake (a plus). • Strong problem-solving, analytical, and communication skills. • English - Native or fully fluent. • Spanish - Conversacional. • Must be resident in one of: México, Guatemala, Colombia, Honduras, Perú, Chile, Argentina, Paraguay, Brasil, Jamaica, República Dominicana, Belice, España, Egipto, Kenya, South Africa, India, Filipinas.
• 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.
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