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Data Engineer

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Ericsson

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Location:
India , Kolkata

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Category:
IT - Software Development

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Contract Type:
Not provided

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Salary:

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Job Description:

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.

Job Responsibility:

  • 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

Requirements:

  • 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

Nice to have:

  • Telecom OSS/BSS domain knowledge (business + data)
  • Experience with Databricks, Snowflake, or similar platforms
  • Understanding of AI observability, explainability, and responsible AI

Additional Information:

Job Posted:
May 05, 2026

Employment Type:
Fulltime
Work Type:
On-site work
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