Data Engineer Kolkata,West Bengal,India Service Delivery Posted 8 hours ago

Ericsson GmbH; Kolkata District; On-site; INR 1,200,000 - 1,800,000; Full time

Job summary

Ericsson GmbH in Kolkata, West Bengal, India invites a Data Engineer to build and operate large-scale data platforms powering GenAI systems and enterprise copilots for Telecom OSS/BSS.

You will develop scalable pipelines with Python/Java, Spark, and NoSQL data modeling, while deploying microservices with Spring Boot and managing containers via Docker/Kubernetes on AWS or GCP.

Qualifications

• Strong Python and Java expertise with production-grade systems
• Hands-on Spark (PySpark/Scala/Java) and distributed processing
• Experience with Cassandra/OpenSearch/Elasticsearch and NoSQL data modeling
• Proficient APIs and microservices (Spring Boot)
• Cloud platforms (AWS or GCP) and containerized runtimes (Docker/Kubernetes)
• Understanding of LLMs, embeddings, RAG, and GenAI data pipelines

Responsibilities

• Build and operate large-scale, high-throughput data systems handling massive datasets
• Design and optimize distributed data pipelines using Apache Spark
• Develop scalable backend services and REST APIs (Spring Boot)
• Work with Cassandra and OpenSearch/Elasticsearch for high availability
• Implement end-to-end Data/MLOps pipelines with Docker and Kubernetes

Skills

Python

Java

Spark

NoSQL

Spring Boot

Docker

Kubernetes

Cloud

LLMs

Tools

Databricks

Snowflake

Job description

## Data EngineerKolkata,West Bengal,IndiaFind out how well you match with this jobJob ID787949## 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