Data Engineer

Join our Team About this opportunity: Welcome to an exciting opportunity at Ericsson, where you'll step into the role of a Data Engineer working on high-volume, low-latency data platforms powering next-gen GenAI systems, AI agents, and enterprise copilots for Telecom OSS/BSS. We build production-grade systems that drive automation, intelligence, and decisioning at scale. Real systems. Real impact. What you will do: Build and operate large-scale, high-throughput data systems handling massive datasets Develop complex, scalable solutions using Python and Java Design and optimize distributed data pipelines using Apache Spark Engineer low-latency, high-performance data processing systems (batch + streaming) Work with Cassandra and OpenSearch/Elasticsearch for high availability and scale Develop scalable backend services and REST APIs (Spring Boot-based microservices) Experience to work with AWS (Kiro) / Microsoft Copilot stack Develop MCP-based applications and integrations with enterprise systems Build RAG pipelines across network, service, customer, and operational data Engineer data pipelines for embeddings, vector stores, and retrieval systems Implement end-to-end Data/MLOps pipelines using Docker, Kubernetes, Kubeflow, and CI/CD Ensure system performance, scalability, observability, and reliability Manage and mitigate FOSS (Free & Open Source Software) vulnerabilities using security scanning and patching practices The skills you bring: Strong Python and Java expertise with experience building production-grade systems is mandatory Hands-on experience with Apache Spark (PySpark/Scala/Java) and distributed processing Proven experience in high-volume, low-latency system design and optimization Strong knowledge of Cassandra, OpenSearch/Elasticsearch, and NoSQL data modeling is mandatory Experience building scalable APIs and microservices (Spring Boot) Hands-on experience with cloud platforms (AWS or GCP) Strong working knowledge of Docker and Kubernetes Experience with vulnerability management and non functional features ( alarm , logging , fault management etc.) Good understanding of LLMs, embeddings, RAG, and GenAI data pipelines Exposure to developer copilots / AI-assisted coding tools Good to have: Telecom OSS/BSS domain knowledge (business + data) Experience with Databricks, Snowflake, or similar platforms Understanding of AI observability, explainability, and responsible AI All academic credentials must be from recognized and accredited institutions and are further subject to verification. ## Join our Team About this opportunity: Welcome to an exciting opportunity at Ericsson, where you'll step into the role of a Data Engineer working on high-volume, low-latency data platforms powering next-gen GenAI systems, AI agents, and enterprise copilots for Telecom OSS/BSS. We build production-grade systems that drive automation, intelligence, and decisioning at scale. Real systems. Real impact. What you will do: Build and operate large-scale, high-throughput data systems handling massive datasets Develop complex, scalable solutions using Python and Java Design and optimize distributed data pipelines using Apache Spark Engineer low-latency, high-performance data processing systems (batch + streaming) Work with Cassandra and OpenSearch/Elasticsearch for high availability and scale Develop scalable backend services and REST APIs (Spring Boot-based microservices) Experience to work with AWS (Kiro) / Microsoft Copilot stack Develop MCP-based applications and integrations with enterprise systems Build RAG pipelines across network, service, customer, and operational data Engineer data pipelines for embeddings, vector stores, and retrieval systems Implement end-to-end Data/MLOps pipelines using Docker, Kubernetes, Kubeflow, and CI/CD Ensure system performance, scalability, observability, and reliability Manage and mitigate FOSS (Free & Open Source Software) vulnerabilities using security scanning and patching practices The skills you bring: Strong Python and Java expertise with experience building production-grade systems is mandatory Hands-on experience with Apache Spark (PySpark/Scala/Java) and distributed processing Proven experience in high-volume, low-latency system design and optimization Strong knowledge of Cassandra, OpenSearch/Elasticsearch, and NoSQL data modeling is mandatory Experience building scalable APIs and microservices (Spring Boot) Hands-on experience with cloud platforms (AWS or GCP) Strong working knowledge of Docker and Kubernetes Experience with vulnerability management and non functional features ( alarm , logging , fault management etc.) Good understanding of LLMs, embeddings, RAG, and GenAI data pipelines Exposure to developer copilots / AI-assisted coding tools Good to have: Telecom OSS/BSS domain knowledge (business + data) Experience with Databricks, Snowflake, or sim