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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
guarantee any job placements. Recruitment will be conducted according to the
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