01
TRPD-26-04806
Module Lead – Data Engineering (AWS + Python)
We are looking for a Module Lead with 6–8 years of experience to analyze and enhance existing data engineering frameworks, and to design, build, and maintain scalable ETL/ELT pipelines on AWS. The role focuses on developing Python-based ingestion/transformation/orchestration frameworks, modernizing legacy data platforms, optimizing performance and cost, ensuring data quality/governance/compliance, and troubleshooting production issues while collaborating with architects and stakeholders.
Position summary
- Location
- India
- Workplace
- On-site
- Employment
- Full Time
- Experience
- Minimum 6 years and Maximum 8 years
Role overview
Why This Role Matters.
We are looking for a Module Lead with 6–8 years of experience to analyze and enhance existing data engineering frameworks, and to design, build, and maintain scalable ETL/ELT pipelines on AWS. The role focuses on developing Python-based ingestion/transformation/orchestration frameworks, modernizing legacy data platforms, optimizing performance and cost, ensuring data quality/governance/compliance, and troubleshooting production issues while collaborating with architects and stakeholders.
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.
02
Design, develop, and maintain scalable ETL/ELT pipelines using modern data engineering practices.
03
Leverage AWS services to build and optimize cloud-native data solutions.
04
Develop and maintain Python-based frameworks for data ingestion, transformation, orchestration, and automation.
05
Support the modernization of legacy data platforms by implementing scalable, secure, and high-performance solutions.
06
Collaborate with architects, business stakeholders, and engineering teams to gather requirements and deliver data solutions.
07
Optimize data workflows for performance, reliability, and cost efficiency.
08
Ensure data quality, governance, and compliance standards are maintained throughout the data lifecycle.
09
Troubleshoot production issues and provide timely resolution for critical data processes.
10
Contribute to technical documentation, best practices, and knowledge-sharing initiatives.
Technology stack
Tools & Technologies.
The platforms and technologies you'll use to build modern, enterprise-grade solutions.
01
AWS
Required
02
Python
Required
03
Data Engineering
Required
04
ETL
Required
05
ELT
Required
06
Data Pipelines
Required
07
Cloud-native
Required
08
Data Ingestion
Required
09
Data Transformation
Required
10
Orchestration
Required
11
Automation
Required
12
Data Quality
Required
13
Data Governance
Required
14
Compliance
Required
15
Performance Optimization
Required
16
Cost Optimization
Required
17
Legacy Modernization
Required
18
Production Support
Required
19
Troubleshooting
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 (building cloud-native data solutions)
Python (data engineering frameworks, automation)
Data engineering (frameworks and architectures)
ETL/ELT pipeline design and development
Data ingestion and transformation
Workflow orchestration (conceptual requirement)
Performance optimization (reliability, cost efficiency)
Data quality and governance across the data lifecycle
Production troubleshooting for data pipelines
Technical documentation and best practices
Preferred
Nice to Have
Legacy data platform modernization
Security and compliance implementation in data platforms
Stakeholder collaboration and requirements translation
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 Module Lead – Data Engineering (AWS + Python)
One page, about two minutes. We only ask for what we actually need to have a first conversation.