Data Engineer

• *Join our Team**
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• *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