TRPD-26-05298
Databricks Engineer
Hiring a Databricks Engineer (5+ years) for an on-site role in Ahmedabad to design and build scalable data pipelines on Databricks. The role requires strong hands-on Databricks experience with Python/SQL/Scala, Apache Spark, and solid data engineering fundamentals (ETL/ELT, data quality, performance optimization). Cloud exposure to AWS/Azure/GCP is expected, with responsibility for large-scale processing, optimization, and delivering reliable end-to-end data solutions with cross-functional teams.
Position summary
- Location
- India
- Workplace
- On-site
- Employment
- Full Time
- Experience
- Minimum 5 years and Maximum 6 years
Role overview
Why This Role Matters.
Hiring a Databricks Engineer (5+ years) for an on-site role in Ahmedabad to design and build scalable data pipelines on Databricks. The role requires strong hands-on Databricks experience with Python/SQL/Scala, Apache Spark, and solid data engineering fundamentals (ETL/ELT, data quality, performance optimization). Cloud exposure to AWS/Azure/GCP is expected, with responsibility for large-scale processing, optimization, and delivering reliable end-to-end data solutions with cross-functional teams.
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.
Apache Spark
PySpark
Python
SQL
Scala
ETL
ELT
Data Pipelines
Big Data
AWS
Amazon Web Services
Azure
Microsoft Azure
GCP
Google Cloud Platform
Data Engineering
Performance Optimization
Data Quality
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
Hands-on Databricks (jobs/workflows, notebooks, clusters)
Apache Spark (batch processing, optimization)
Python
SQL
Scala
ETL/ELT pipelines
Data engineering concepts (data modeling basics, orchestration concepts, reliability)
Large-scale data processing and performance tuning
Cloud platform experience (AWS or Azure or GCP)
Data quality and reliability practices
Preferred
Nice to Have
Experience across multiple clouds (AWS/Azure/GCP)
Advanced Spark tuning (partitioning, shuffle optimization, caching strategies)
Delta Lake / Lakehouse patterns (if used within Databricks)
CI/CD for data pipelines (Databricks Repos, Git integration)
Orchestration tools (e.g., Airflow)
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 Databricks Engineer
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