01
TRCD-26-05220
Senior Databricks Data Engineer (Cloud, PySpark, SQL) - Contract
Looking for a 10–13 years senior Data Engineer to design, build, and optimize scalable cloud data pipelines using Databricks and Spark (PySpark). The role requires strong SQL and Python for ETL/ELT, orchestration/automation, and integrating structured/unstructured sources. You will contribute to enterprise data warehousing, data modeling (normalization/denormalization) for OLTP/OLAP, performance troubleshooting, and BI/analytics enablement, while following Git-based version control and code review practices. Cloud experience across Azure/AWS/GCP is expected; Kafka/Hadoop, Azure DevOps CI/CD, Agile, and Agentic AI are nice-to-have.
Position summary
- Location
- India
- Workplace
- On-site
- Employment
- Contract
- Experience
- Minimum 10 years and Maximum 13 years
Role overview
Why This Role Matters.
Looking for a 10–13 years senior Data Engineer to design, build, and optimize scalable cloud data pipelines using Databricks and Spark (PySpark). The role requires strong SQL and Python for ETL/ELT, orchestration/automation, and integrating structured/unstructured sources. You will contribute to enterprise data warehousing, data modeling (normalization/denormalization) for OLTP/OLAP, performance troubleshooting, and BI/analytics enablement, while following Git-based version control and code review practices. Cloud experience across Azure/AWS/GCP is expected; Kafka/Hadoop, Azure DevOps CI/CD, Agile, and Agentic AI are nice-to-have.
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
Architect and implement cloud-based data solutions, integrating structured and unstructured data sources.
03
Write clean, efficient, and reusable code primarily in Python for cloud automation, data processing, and orchestration.
04
Build and optimize ETL workflows and ensure seamless data integration across platforms.
05
Develop data models using normalization and denormalization techniques to support OLTP and OLAP systems.
06
Troubleshoot performance bottlenecks in data flows and ETL processes.
07
Integrate advanced analytics and support BI use cases within the Cloud ecosystem.
08
Lead code reviews and ensure adherence to version control practices (e.g., Git).
09
Contribute to the design and deployment of enterprise-level data warehousing solutions.
10
Stay current with Cloud technologies and Python ecosystem updates to adopt best practices and emerging tools.
Technology stack
Tools & Technologies.
The platforms and technologies you'll use to build modern, enterprise-grade solutions.
01
Databricks
Required
02
Apache Spark
Required
03
PySpark
Required
04
SQL
Required
05
Python
Required
06
Azure
Required
07
AWS
Required
08
GCP
Required
09
ETL
Required
10
ELT
Required
11
Data pipelines
Required
12
Data integration
Required
13
Data modeling
Required
14
Normalization
Required
15
Denormalization
Required
16
OLTP
Required
17
OLAP
Required
18
Data warehouse
Required
19
BI
Required
20
Git
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
Apache Spark
PySpark
SQL
Python
Cloud platforms (Azure/AWS/GCP)
Building scalable ETL pipelines
Data modeling (normalization and denormalization)
Data warehousing concepts
BI tools integration
Git (version control)
Performance troubleshooting for data pipelines/ETL
Preferred
Nice to Have
Understanding of OLTP and OLAP environments
Apache Kafka
Hadoop ecosystem
Azure Cloud (deeper knowledge)
Azure DevOps (CI/CD integration)
Agile delivery methodologies
Agentic AI
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 (Cloud, PySpark, SQL) - Contract
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