01
Databricks
Required
TRCD-26-05361
Senior Databricks Data Engineer (Pipelines & Semantic Layer)
Senior contract resource based in Gurugram to design and build end-to-end data pipelines and semantic/metrics capabilities on Databricks. The role covers ingestion, transformations, data products, metadata, trusted joins, metric/semantic views, data quality controls, and API integrations, with ownership of solution design and complex engineering while also enabling hands-on pipeline implementation.
Position summary
- Location
- India
- Workplace
- Hybrid
- Employment
- Contract
- Experience
- Minimum 8 years and Maximum 10 years
Role overview
Why This Role Matters.
Senior contract resource based in Gurugram to design and build end-to-end data pipelines and semantic/metrics capabilities on Databricks. The role covers ingestion, transformations, data products, metadata, trusted joins, metric/semantic views, data quality controls, and API integrations, with ownership of solution design and complex engineering while also enabling hands-on pipeline implementation.
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
data pipelines
Required
03
ETL
Required
04
ELT
Required
05
ingestion
Required
06
transformations
Required
07
data products
Required
08
metadata
Required
09
trusted joins
Required
10
semantic layer
Required
11
metric views
Required
12
semantic views
Required
13
data quality
Required
14
API integration
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
Databricks (data engineering on Databricks)
Data pipeline design and development (ingestion, transformations)
Semantic/metrics layer concepts (metric views, semantic views)
Data modeling and trusted joins (dimensional/relational joins)
Metadata management (catalog/lineage concepts)
Data quality engineering (validation rules, checks, monitoring)
API integrations (consuming/exposing data via APIs)
Senior-level engineering/design leadership for complex implementations
Preferred
Nice to Have
Data product thinking (curation, reusable datasets)
Metric governance and definitions management
Observability/monitoring for pipelines
Performance optimization on distributed compute
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 Databricks Data Engineer (Pipelines & Semantic Layer)
One page, about two minutes. We only ask for what we actually need to have a first conversation.