Ericsson - Data Engineer - Java/Python

Ericsson · Kolkata

  • Experience5–10 yrs
  • SalaryNot disclosed
  • Work modeonsite
  • Levelsenior
  • Posted14 May 2026
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About Ericsson

Ericsson is hiring in Kolkata in telecom. This role looks for around 5+ years of experience.

Skills

  • Python
  • Java
  • Apache Spark
  • Cassandra
  • OpenSearch
  • Elasticsearch
  • NoSQL data modeling
  • Spring Boot
  • AWS
  • GCP
  • Docker
  • Kubernetes
  • LLMs
  • embeddings
  • RAG
  • GenAI
  • Data/MLOps
  • vulnerability management

The role

A data engineer at a telecommunications technology company builds Apache Spark pipelines and GenAI data systems for telecom OSS/BSS, using Python and Java across scalable data platforms. The role also develops RAG pipelines and Kubernetes-based Data/MLOps.

Full job description

Description :

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

- 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

- 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