01
TRPD-26-04844
Senior Software Engineer (Data Engineering) – AWS, Python, Snowflake
Senior Software Engineer / Data Engineer to analyze and enhance existing data engineering frameworks and architecture, and to design, build, and maintain scalable ETL/ELT pipelines on AWS with Python and Snowflake. The role requires hands-on Snowflake development (including stored procedures) and strong Python-based framework development for ingestion, transformation, orchestration, and automation, plus experience optimizing workflows for performance, reliability, and cost while maintaining data quality/governance and troubleshooting production issues.
Position summary
- Location
- India
- Workplace
- On-site
- Employment
- Full Time
- Experience
- Minimum 4 years and Maximum 6 years
Role overview
Why This Role Matters.
Senior Software Engineer / Data Engineer to analyze and enhance existing data engineering frameworks and architecture, and to design, build, and maintain scalable ETL/ELT pipelines on AWS with Python and Snowflake. The role requires hands-on Snowflake development (including stored procedures) and strong Python-based framework development for ingestion, transformation, orchestration, and automation, plus experience optimizing workflows for performance, reliability, and cost while maintaining data quality/governance and troubleshooting production issues.
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
Hands on exp in Snowflake development including stored procedure of 1+ years.
04
Leverage AWS services to build and optimize cloud-native data solutions.
05
Develop and maintain Python-based frameworks for data ingestion, transformation, orchestration, and automation.
06
Support the modernization of legacy data platforms by implementing scalable, secure, and high-performance solutions.
07
Collaborate with architects, business stakeholders, and engineering teams to gather requirements and deliver data solutions.
08
Optimize data workflows for performance, reliability, and cost efficiency.
09
Ensure data quality, governance, and compliance standards are maintained throughout the data lifecycle.
10
Troubleshoot production issues and provide timely resolution for critical data processes.
11
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
Snowflake
Required
04
ETL
Required
05
ELT
Required
06
data pipelines
Required
07
data ingestion
Required
08
data transformation
Required
09
orchestration
Required
10
automation
Required
11
stored procedures
Required
12
data governance
Required
13
data quality
Required
14
cloud-native
Required
15
performance optimization
Required
16
cost optimization
Required
17
modern data engineering
Required
18
legacy modernization
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 for ingestion/transformation/orchestration/automation)
Snowflake development (1+ years)
Snowflake stored procedures
ETL/ELT pipeline design and development
Data engineering frameworks/architecture understanding and enhancement
Performance optimization (workflows, queries, pipelines)
Troubleshooting production issues in data pipelines
Data quality and governance practices
Stakeholder collaboration for requirements and delivery
Preferred
Nice to Have
Legacy data platform modernization
Cost optimization in cloud data workloads
Technical documentation and knowledge sharing
Security/compliance awareness in data lifecycle
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 Senior Software Engineer (Data Engineering) – AWS, Python, Snowflake
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