Data Engineer

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