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Ericsson Data Engineer Hiring 2026 in Kolkata | GenAI, Spark, AWS & Telecom Data Engineering Role | Placement Officer
Summary
Ericsson Careers is hiring for the role of Data Engineer in Kolkata, India. Ericsson is
offering an exciting opportunity for candidates interested in:
·
Data
Engineering
·
GenAI Systems
·
AI Agents
·
Telecom
OSS/BSS
·
Apache Spark
·
AWS Cloud
·
Kubernetes
·
RAG Pipelines
This role focuses on building
large-scale, low-latency, high-performance data systems powering
next-generation AI and telecom platforms.
Candidates will work on:
·
Distributed
Data Pipelines
·
AI-powered
Enterprise Systems
·
Vector
Databases
·
MLOps
Pipelines
·
Cloud-native
Infrastructure
·
REST APIs
& Microservices
About Ericsson
Ericsson is one of the world’s
leading telecommunications and networking companies.
Key highlights:
·
Presence in
180+ countries
·
Global leader
in 5G and telecom infrastructure
·
Strong focus
on AI, automation, and cloud-native systems
·
Advanced
telecom OSS/BSS platforms
·
Large-scale AI
and data engineering operations
Ericsson is known for innovation
in:
·
Telecom
Networks
·
AI-powered
Automation
·
Cloud
Infrastructure
·
Enterprise
Data Systems
·
Digital
Transformation
Ericsson Data Engineer Hiring 2026 – Overview
|
Category |
Details |
|
Company |
Ericsson |
|
Role |
Data
Engineer |
|
Job Location |
Kolkata,
West Bengal |
|
Experience |
Freshers
& Experienced |
|
Qualification |
BE/B.Tech/M.Tech/MCA
or Related Degree |
|
Industry |
Telecom
& AI Engineering |
|
Skills |
Python,
Java, Spark, AWS, Kubernetes |
|
Domain |
GenAI &
Data Engineering |
|
Expected
Salary |
₹10 LPA – ₹22 LPA |
|
Job ID |
779527 |
Detailed Job Description
Ericsson is hiring Data Engineers
to work on:
·
High-volume
data systems
·
AI agents
·
Enterprise
copilots
·
Telecom
automation platforms
The role involves building
production-grade data platforms for:
·
AI-driven
automation
·
Decision
intelligence
·
Low-latency
processing
·
Distributed
analytics
Candidates will work on real-world
enterprise-scale systems with advanced cloud and GenAI technologies.
Key Responsibilities
1. Build Large-Scale Data Platforms
Candidates will:
·
Handle massive
datasets
·
Engineer
scalable distributed systems
·
Optimize
throughput and latency
2. Develop Data Pipelines
Responsibilities include:
·
Apache Spark
processing
·
Batch &
streaming pipelines
·
Real-time data
engineering
3. Work with GenAI Systems
Candidates will:
·
Build RAG
pipelines
·
Develop
embedding pipelines
·
Manage vector
store integrations
4. Develop Backend Services
Responsibilities include:
·
Spring Boot
microservices
·
REST APIs
·
Scalable
backend systems
5. Cloud & Containerization
Candidates will work with:
·
AWS / GCP
·
Docker
·
Kubernetes
·
Kubeflow
6. Database & Search Systems
Exposure includes:
·
Cassandra
·
OpenSearch
·
Elasticsearch
·
NoSQL data
modeling
7. MLOps & DevOps
Candidates will:
·
Build CI/CD
pipelines
·
Automate
deployments
·
Improve
observability and reliability
Eligibility Criteria
Educational Qualification
Candidates should possess:
·
BE / B.Tech
·
ME / M.Tech
·
MCA
·
Computer
Science or related degree
Preferred Domains
·
Computer
Science
·
IT
·
Data
Engineering
·
AI & ML
·
Software
Engineering
Eligible Batches
Based on the experience
expectations and hiring trends, the following batches are likely eligible:
·
2023 Batch
·
2024 Batch
·
2025 Batch
·
2026 Batch
Candidates with internships or
projects in AI, cloud, or distributed systems will have an advantage.
Essential Skills Required
Programming Skills
·
Python
·
Java
·
Scala
(Preferred)
Big Data Technologies
·
Apache Spark
·
PySpark
·
Distributed
Computing
Cloud & Infrastructure
·
AWS
·
GCP
·
Docker
·
Kubernetes
Databases
·
Cassandra
·
Elasticsearch
·
OpenSearch
·
NoSQL Modeling
AI & GenAI Skills
·
LLMs
·
Embeddings
·
RAG Pipelines
·
AI-assisted
Coding Tools
Backend Development
·
Spring Boot
·
REST APIs
·
Microservices
Architecture
Additional Skills
·
MLOps
·
CI/CD
·
Security &
Vulnerability Management
·
Logging &
Monitoring
Expected Salary for Ericsson Data Engineer
Ericsson has not officially
disclosed compensation details.
Based on industry benchmarks and
Ericsson engineering salaries:
Expected Salary Range
·
₹10 LPA – ₹22 LPA
Salary Depends On
·
Experience
·
Spark
expertise
·
Cloud skills
·
AI/ML exposure
·
System design
capability
Candidates with strong GenAI and
cloud skills may receive higher compensation.
Why This Ericsson Role is Exceptional
Work on GenAI Systems
Candidates gain real exposure to:
·
Enterprise AI
·
LLM
infrastructure
·
AI agents
·
Copilot
systems
Advanced Data Engineering
Hands-on experience with:
·
Spark
·
Streaming
systems
·
Vector
databases
·
Large-scale
distributed systems
Telecom AI Exposure
Opportunity to work on:
·
OSS/BSS
systems
·
Telecom
automation
·
AI-driven
operations
Global Engineering Environment
Exposure to:
·
Enterprise-grade
architecture
·
Cloud-native
systems
·
International
engineering standards
Ericsson Hiring Process 2026
Round 1 – Resume Shortlisting
Focus areas:
·
Python
projects
·
Spark
experience
·
AI/ML exposure
·
Cloud
certifications
Round 2 – Online Assessment
Topics may include:
·
DSA
·
SQL
·
Python/Java
·
System Design
·
Cloud Basics
Round 3 – Technical Interviews
Questions may include:
·
Spark
architecture
·
APIs &
microservices
·
Kubernetes
·
Distributed
systems
·
AI pipeline
concepts
Round 4 – HR Interview
Discussion topics:
·
Communication
skills
·
Project
experience
·
Career goals
·
Team
collaboration
Pro Tips to Crack Ericsson Data Engineer Interview
1. Master Apache Spark
Focus on:
·
PySpark
·
Transformations
·
Distributed
processing
·
Optimization
techniques
2. Build Cloud Projects
Create projects using:
·
AWS
·
Docker
·
Kubernetes
3. Learn AI Pipeline Basics
Understand:
·
RAG
·
Embeddings
·
LLM workflows
·
Vector
databases
4. Improve Backend Skills
Practice:
·
REST APIs
·
Spring Boot
·
Microservices
5. Strengthen DSA & SQL
Important for technical rounds.
Career Growth Opportunities
This role can lead to careers in:
·
Senior Data
Engineering
·
AI Platform
Engineering
·
Cloud
Architecture
·
GenAI Systems
Engineering
·
MLOps
Engineering
·
Distributed
Systems Engineering
FAQs
1. What is the location of this role?
The role is based in Kolkata, West
Bengal.
2. Which skills are mandatory?
Important skills include:
·
Python
·
Java
·
Apache Spark
·
AWS/GCP
·
Kubernetes
3. Is GenAI exposure required?
Basic understanding of LLMs, RAG,
and embeddings is preferred.
4. What is the expected salary?
The estimated salary range is ₹10 LPA – ₹22 LPA.
5. Which batches are eligible?
2023–2026 batches are likely
eligible.
6. Is telecom experience mandatory?
No, but OSS/BSS domain knowledge is
a plus.
Conclusion
The Ericsson Data Engineer role in
Kolkata is an outstanding opportunity for candidates interested in:
·
GenAI
·
Distributed
systems
·
Cloud-native
architecture
·
Telecom
automation
·
Enterprise AI
platforms
With exposure to Spark, Kubernetes,
AWS, RAG pipelines, and AI-driven telecom systems, this role provides excellent
long-term growth in modern data engineering and AI infrastructure domains.
Candidates with strong programming, cloud, and distributed systems knowledge should apply as early as possible.
🔗 Apply Link: Click Here To Apply for Ericsson
|
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The recruitment details shared above are for informational purposes only and
have been obtained from the organization’s official website. We do not
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