Teams at Sigma Software Group

The Senior Data Engineer will design and build cloud-native data platforms, real-time ingestion pipelines, lakehouse architectures, and AI-ready infrastructure. Responsibilities include modernizing Spark and PySpark workloads, implementing CI/CD and data quality practices, developing self-service tooling and microservices, and ensuring platform reliability and observability. The role also leads technical initiatives involving agentic AI, event-driven systems, LLM-ready pipelines, and cross-functional collaboration with Product, Machine Learning, and Data Science teams.

Learn and apply DevOps practices while supporting the development team with system automation, deployment, and operations tasks. The role involves working with Linux, scripting, networking, web servers, CI/CD tools, cloud platforms, Kubernetes, infrastructure-as-code, configuration management, and Git.

Design and scale secure cloud-native data platforms supporting batch and streaming workloads. Own architecture decisions, data modeling, pipelines, platform modernization, and engineering best practices across AWS, Spark, Databricks, Kafka, Python, and SQL environments. Mentor data engineers, lead onboarding, collaborate with product and business stakeholders, and influence technical roadmaps and enterprise data platform strategy.