Sigma Systems
201 - 500 employees
📡 Telecommunications
⚡ Energy
☁️ SaaS
💰 $11M Venture Round - Tribold on 2009-01
Telecommunications • Energy • SaaS
Sigma Systems is a software company that provides cloud-native, API-driven BSS/OSS, product catalog, CPQ and order orchestration solutions for communications service providers and energy/utilities companies. It offers modular, TMF-compliant components and managed services — including AI-enabled automation and data-driven tools — to help operators modernize billing, monetization, and customer fulfillment processes with a SaaS and cloud-focused delivery model.
Senior Analytic Data Engineer
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Sigma Systems
201 - 500 employees
📡 Telecommunications
⚡ Energy
☁️ SaaS
💰 $11M Venture Round - Tribold on 2009-01
Telecommunications • Energy • SaaS
Sigma Systems is a software company that provides cloud-native, API-driven BSS/OSS, product catalog, CPQ and order orchestration solutions for communications service providers and energy/utilities companies. It offers modular, TMF-compliant components and managed services — including AI-enabled automation and data-driven tools — to help operators modernize billing, monetization, and customer fulfillment processes with a SaaS and cloud-focused delivery model.
📋 Description
• Responsible for the design, development, and maintenance of enterprise data and programming infrastructure supporting HEDIS regulatory reporting and healthcare analytics initiatives. • Design, develop, and maintain scalable ETL/ELT pipelines • Build and optimize data ingestion, transformation, and integration processes using Python and PySpark. • Develop reliable and efficient data workflows. • Create fault-tolerant, maintainable, and high-performing data solutions. • Develop and support cloud-based data solutions utilizing GCP, Databricks, Apache Spark, and related technologies. • Design and develop reports, dashboards, and visualizations using Power BI and Tableau.
🎯 Requirements
• Bachelor's degree in Computer Science, Information Systems, Engineering, or equivalent professional experience. • Minimum 3 years of experience with data pipeline and workflow management tools such as Apache Spark (Dataproc), GCP Tools, Databricks, and PySpark. • Minimum 3 years of experience building ETL and data integration pipelines using Python and PySpark. • Minimum 3 years of experience working with cloud platforms including GCP and Azure. • Minimum 3 years of experience developing reports and dashboards using Power BI and Tableau. • Minimum 3 years of experience working with Oracle, Teradata, and DB2 databases. • Minimum 3 years of experience designing or developing data solutions within healthcare environments. • HEDIS experience is highly preferred.
🏖️ Benefits
• Competitive compensation • Career-enhancing opportunities • Chance to contribute to impactful projects • 100% remote work environment with flexibility and autonomy
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