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Databricks
Required
TRCD-26-05359
Senior Databricks Data Engineer (Pipelines & Semantic Layer)
Contract role in Gurugram for a senior Databricks-focused data engineer to design and build end-to-end data pipelines and semantic/metrics capabilities. The work includes ingestion, transformations, data products, metadata management, trusted joins, metric/semantic views, data quality controls, and API integrations. The senior resource is expected to lead design and handle complex engineering, while also enabling hands-on implementation of pipelines on Databricks.
Position summary
- Location
- India
- Workplace
- On-site
- Employment
- Contract
- Experience
- Minimum 6 years and Maximum 8 years
Role overview
Why This Role Matters.
Contract role in Gurugram for a senior Databricks-focused data engineer to design and build end-to-end data pipelines and semantic/metrics capabilities. The work includes ingestion, transformations, data products, metadata management, trusted joins, metric/semantic views, data quality controls, and API integrations. The senior resource is expected to lead design and handle complex engineering, while also enabling hands-on implementation of pipelines on Databricks.
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
data ingestion
Required
04
data transformations
Required
05
data products
Required
06
metadata
Required
07
trusted joins
Required
08
semantic layer
Required
09
metric views
Required
10
semantic views
Required
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data quality
Required
12
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 (design and development)
Data pipeline development (ingestion, transformation, orchestration)
Semantic/metrics layer concepts (metric/semantic views)
Data modeling for analytics (data products, curated layers)
Metadata management concepts (cataloging/lineage/governance)
Data quality engineering (validation, checks, monitoring)
API integrations for data ingestion/serving
Join strategy and building trusted/curated joins
Preferred
Nice to Have
Experience leading design for complex data engineering solutions
Data product thinking (ownership, SLAs, consumers)
Familiarity with governance/catalog tools (e.g., Unity Catalog or similar)
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)
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