01
TRCD-26-05445
Business Technology Solutions Consultant (Databricks/AWS Data Engineering)
Contract role in Gurugram for an 8–10 years data engineering/analytics consultant to lead enterprise data modernization on AWS using Databricks. The consultant will architect and deliver scalable lakehouse/data pipeline solutions with PySpark, Spark SQL/SQL, Delta Lake, and AWS services (S3, Glue, Lambda, Redshift, IAM), establish governance and security (Unity Catalog), and enable analytics/AI/GenAI use cases while mentoring junior consultants and working in client-facing engagements.
Position summary
- Location
- India
- Workplace
- Hybrid
- Employment
- Contract
- Experience
- Minimum 8 years and Maximum 10 years
Role overview
Why This Role Matters.
Contract role in Gurugram for an 8–10 years data engineering/analytics consultant to lead enterprise data modernization on AWS using Databricks. The consultant will architect and deliver scalable lakehouse/data pipeline solutions with PySpark, Spark SQL/SQL, Delta Lake, and AWS services (S3, Glue, Lambda, Redshift, IAM), establish governance and security (Unity Catalog), and enable analytics/AI/GenAI use cases while mentoring junior consultants and working in client-facing engagements.
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
Implement and manage Lakehouse architectures (Bronze, Silver, Gold) and drive data modernization initiatives.
03
Lead the design and delivery of cloud-native data and analytics solutions on AWS and Databricks.
04
Establish data governance, security, and metadata management using Unity Catalog and industry best practices.
05
Collaborate with business and technology stakeholders to translate requirements into technical solutions.
06
Enable AI/ML and GenAI use cases through reliable, governed, and high-performing data platforms.
07
Mentor and lead Associate Consultants and Associates, driving technical excellence and delivery quality.
08
Bachelor's degree in Computer Science, Engineering, Information Systems, or related field.
09
8+ years of experience in Data Engineering, Analytics, or Cloud Data Platforms.
10
Hands-on expertise with Databricks, PySpark, Spark SQL, Python, Delta Lake, and AWS.
11
Experience with AWS services such as S3, Glue, Lambda, Redshift, and IAM.
12
Strong understanding of ETL/ELT, data modeling, modern data architectures, and cloud-native data platforms.
Technology stack
Tools & Technologies.
The platforms and technologies you'll use to build modern, enterprise-grade solutions.
01
Databricks
Required
02
AWS
Required
03
PySpark
Required
04
Apache Spark
Required
05
Spark SQL
Required
06
SQL
Required
07
Python
Required
08
Delta Lake
Required
09
Lakehouse
Required
10
Bronze Silver Gold
Required
11
Unity Catalog
Required
12
Delta Live Tables
Required
13
Databricks Workflows
Required
14
MLflow
Required
15
ETL
Required
16
ELT
Required
17
Data modeling
Required
18
S3
Required
19
AWS Glue
Required
20
AWS Lambda
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
AWS
PySpark
Spark SQL
SQL
Python
Delta Lake
Design and optimization of scalable data pipelines
Lakehouse architecture (Bronze/Silver/Gold)
ETL/ELT concepts
Data modeling
Cloud-native data platform architecture
AWS services: S3, Glue, Lambda, Redshift, IAM
Data governance and security best practices (including metadata management)
Technical leadership and team mentoring
Client-facing consulting and stakeholder management
Preferred
Nice to Have
Unity Catalog
Delta Live Tables (DLT)
Databricks Workflows
MLflow
Databricks certification
AWS certification
AI/ML and GenAI enablement on data platforms
Enterprise analytics initiatives
Regulated industry experience (Life Sciences/Healthcare)
GxP-compliant environments and regulated data practices
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 Business Technology Solutions Consultant (Databricks/AWS Data Engineering)
One page, about two minutes. We only ask for what we actually need to have a first conversation.