Softgic
51 - 200 employees
Founded 2011
🔒 Cybersecurity
🤖 Artificial Intelligence
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.
Senior Data Engineer
🕒 May 27
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Softgic
51 - 200 employees
Founded 2011
🔒 Cybersecurity
🤖 Artificial Intelligence
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.
📋 Description
• Design, develop, and maintain scalable ETL/ELT data pipelines using Python. • Process and integrate data from multiple formats and sources, including JSON, CSV, and XML. • Build and manage data transformations and orchestration workflows using DBT and tools such as Airflow, Prefect, or Dagster. • Enforce data governance, quality, and security standards across data systems. • Extend, maintain, and optimize the Elastic Hierarchy data framework. • Collaborate closely with analytics, machine learning, and product teams to deliver reliable, business-ready datasets. • Support data operations in SaaS and on-premise hybrid environments.
🎯 Requirements
• Bachelor’s or Master’s degree in Computer Science, Data Engineering, or a related field. • Strong proficiency in Python development. • Experience with the AWS data ecosystem, including services such as S3, Glue, Lambda, EMR, EC2, Redshift, and RDS. • Hands-on experience with Snowflake, MongoDB, and PostgreSQL. • Experience using DBT and at least one data orchestration tool (Airflow, Prefect, or Dagster). • Knowledge of data mapping, attribution, and reconciliation processes. • Ability to work effectively in hybrid and on-premise deployment environments. • Strong English communication skills, both written and verbal.
🏖️ Benefits
• This is a remote position
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