01
AWS
Required
TRPD-26-04567
AWS Data Engineer (Python, PySpark)
Hiring a permanent AWS Data Engineer in India with 3–10 years of experience to build and maintain data pipelines on AWS using Python and PySpark. The role focuses on distributed data processing, ETL/ELT development, and working with AWS-native data services to deliver reliable, scalable data engineering solutions.
Position summary
- Location
- India
- Workplace
- On-site
- Employment
- Full Time
- Experience
- Minimum 3 years and Maximum 10 years
Role overview
Why This Role Matters.
Hiring a permanent AWS Data Engineer in India with 3–10 years of experience to build and maintain data pipelines on AWS using Python and PySpark. The role focuses on distributed data processing, ETL/ELT development, and working with AWS-native data services to deliver reliable, scalable data engineering solutions.
Your Impact
Deliver Enterprise Value
Help organisations solve complex business problems through modern technology, consulting expertise and measurable outcomes.
Collaboration
Work Across Teams
Collaborate with consultants, architects, engineers and client stakeholders throughout the project lifecycle.
Growth
Learn Continuously
Gain exposure to enterprise technologies, certifications, mentoring and real-world project experience.
Career Path
Grow With Ubique
Build a long-term consulting career with opportunities to take on greater responsibility and leadership over time.
Responsibilities
What You'll Be Doing.
Every role at Ubique contributes directly to solving meaningful business challenges for our clients.
Technology stack
Tools & Technologies.
The platforms and technologies you'll use to build modern, enterprise-grade solutions.
02
Python
Required
03
PySpark
Required
04
Spark
Required
05
ETL
Required
06
ELT
Required
07
Data pipelines
Required
08
Data engineering
Required
Requirements
Skills & Experience.
We value curiosity, collaboration and continuous learning. If you don't meet every requirement but believe you can make an impact, we'd still love to hear from you.
Essential
Required Qualifications
AWS (data engineering on AWS)
Python
PySpark
Data engineering / ETL pipelines
Distributed data processing (Spark)
Preferred
Nice to Have
There are no additional preferred qualifications for this position. If you meet the essential requirements, we encourage you to apply.
What you'll gain
More Than Just A Job.
We're committed to helping every team member grow professionally, personally and technically while working on meaningful projects.
Global Exposure
Collaborate with international clients and multicultural teams on enterprise programmes.
Continuous Learning
Expand your expertise through mentoring, certifications and hands-on project experience.
Career Growth
Take ownership, develop leadership skills and grow your consulting career over time.
Flexible Working
Hybrid and remote collaboration designed around trust and delivering exceptional outcomes.
People First
Join a supportive culture where collaboration, respect and long-term relationships come first.
Enterprise Projects
Work on meaningful technology initiatives for leading organisations across industries.
Apply
Apply for AWS Data Engineer (Python, PySpark)
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