Data Engineer

At Softgic, we work with the most talented people — those who create, those who love what they do, those who bring 100% attitude, because that is our #Coolture. Join our mission to make life easier through technology and be part of our team as a Data Engineer. Requirements: • 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. Responsibilities: • 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. Location: Remote - México, Guatemala, Colombia, Honduras, Perú, Chile, Argentina, Paraguay, Brasil, Jamaica, República Dominicana, Belice, España, Egipto, Kenya, South Africa, India, Filipinas Skills required for this job: • Apache Spark • Data engineering • Data streaming • Data transformation • Data warehousing • Databricks • PySpark • Python • Scala • Snowflake • Troubleshooting Apply tot his job Apply To this Job