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Data Axle Off Campus Drive 2026 | Associate Data Engineer Jobs in Pune | Placement Officer
Data Axle Off Campus Drive 2026
is a strong opportunity for freshers and early-career professionals to
join as an Associate Data Engineer at its Global Centre of Excellence
in Pune. This role is ideal for candidates passionate about Big Data,
AWS technologies, ETL pipelines, and analytics infrastructure.
Are you Searching for Fresher Jobs: Click Here
🔍 Job Summary
Data Axle is hiring Associate
Data Engineers to design, implement, and support large-scale analytical
data infrastructure that enables real-time and ad-hoc access to massive
datasets. The role offers hands-on exposure to AWS Big Data services, data
pipelines, and advanced analytics.
🏢 About Data Axle
Data Axle Inc. is a US-based
industry leader with 45+ years of experience in data, marketing
solutions, sales, and research. Headquartered in Dallas, Texas, the
company operates a strategic Global Centre of Excellence in Pune,
delivering mission-critical data services to global clients using proprietary
cloud-based platforms and rich business & consumer datasets.
📌 Job Details – Associate Data Engineer
|
Details |
Information |
|
Company |
Data Axle |
|
Role |
Associate
Data Engineer |
|
Job Code |
#PUNE6861 |
|
Location |
Pune, India |
|
Employment
Type |
Full Time |
|
Experience |
Fresher /
Early Career |
|
Work Domain |
Data
Engineering / Big Data |
🧑💻 Roles &
Responsibilities
As an Associate Data Engineer,
you will:
·
Design,
implement, and support analytical data infrastructure
·
Build and
maintain ETL pipelines using SQL and AWS Big Data tools
·
Create
real-time data pipelines using:
o AWS Glue
o Redshift / Redshift Spectrum
o Kinesis
o EMR
o Athena
·
Collaborate
with technology teams for data ingestion, transformation, and analytics
·
Research and
adopt latest Big Data and visualization technologies
·
Support real-time
monitoring, alerting, and risk systems
·
Assist in
implementing advanced analytics, clustering, prediction, and ML models
·
Improve
reporting and analytics workflows through automation and self-service
enablement
🎓 Eligibility & Qualifications
Educational Qualification
·
Bachelor’s
degree in:
o Computer Science
o Engineering
o Mathematics
o Or a related technical field
Technical Skills Required
·
Strong
foundation in:
o Data Modelling
o ETL Development
o Data Warehousing
·
Hands-on or
academic knowledge of:
o SQL
o AWS Big Data services (Redshift,
S3, EMR, Spark)
·
Familiarity
with Spark-based data processing
·
Understanding
of data storage principles and data management fundamentals
·
Knowledge of Agile
methodologies and software engineering best practices
Soft Skills
·
Strong
communication and collaboration skills
·
Passion for data-driven
decision making
·
Willingness to
learn and adapt in a fast-paced environment
·
Team-oriented
mindset
🎯 Who Should Apply?
·
Freshers (2024
/ 2025 / 2026 graduates)
·
Candidates
interested in Data Engineering & Big Data
·
Students with
projects or internships in:
o Data Engineering
o Cloud (AWS)
o Analytics / ETL
·
Professionals
looking to build a long-term career in cloud data platforms
🌟 Why Join Data Axle?
·
Work with large-scale
real-world datasets
·
Hands-on
exposure to AWS Big Data ecosystem
·
Opportunity to
grow at a Global Centre of Excellence
·
Strong
learning culture and modern data engineering practices
·
Merit-based,
transparent recruitment process
⚠️ Recruitment Fraud Disclaimer
Data Axle follows a strict
merit-based hiring process and does NOT charge any fees during
recruitment.
Candidates are advised to apply only through official Data Axle career
channels and stay alert against fraudulent job offers.
💡 Pro Tips to Crack Data Axle Data Engineer Role
·
Strengthen SQL
and data modeling concepts
·
Revise ETL
workflows and data warehousing basics
·
Get hands-on
with AWS services (S3, Redshift, Glue, EMR)
·
Be ready to
explain academic or personal data projects
·
Understand Big
Data architecture and pipeline design
❓ Frequently Asked Questions (FAQs)
Q1. Is this role suitable for freshers?
Yes, this role is open to freshers
and early-career candidates.
Q2. Is AWS knowledge mandatory?
Basic to intermediate knowledge of AWS
Big Data services is expected.
Q3. What is the job location?
The role is based in Pune, India.
Q4. Is this a full-time role?
Yes, it is a full-time permanent
position.
Q5. Does Data Axle charge any recruitment fees?
No. Data Axle does not charge
any amount during the hiring process.
Are You Searching for Experienced Jobs: Click
Here
✅ Final Conclusion
The Data Axle Associate Data
Engineer role is an excellent entry-level opportunity for candidates aiming
to build a career in Data Engineering, AWS Big Data platforms, and analytics
infrastructure. With global exposure, modern tech stack, and strong growth
potential, this role is highly recommended for serious data aspirants.
For more verified off-campus drives, fresher jobs, and internships, keep visiting placement-officer.com.
🔗 Apply Link: Click Here To Apply for Data Axle
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Disclaimer
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
company's official process. We do not charge any fees for sharing this job
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