Azure Databricks Fabric Data Engineer

Urgent

Job Description

Azure Databricks + MS Fabric + Python Data Engineer
Company

PwC Acceleration Centers (PwC AC)

Job Locations

Bangalore | Hyderabad | Kolkata | Chennai | Pune | Gurgaon | Mumbai

Work Mode

Hybrid

Experience Required

4 – 12 Years

Notice Period

Immediate to 60 Days

Role

Azure Databricks + MS Fabric + Python Data Engineer

Job Summary

PwC Acceleration Centers (PwC AC) is hiring experienced Data Engineers with expertise in Azure Data Services, Microsoft Fabric, Databricks, Snowflake, and Python.

The ideal candidate should possess strong hands-on experience in modern data engineering, cloud-native data platforms, ETL/ELT pipelines, Big Data processing, and enterprise analytics solutions. The role involves working on scalable data architectures, cloud transformation initiatives, and advanced data processing systems in a consulting-driven environment.

Must Have Skills
Azure Data Services
Microsoft Fabric
Snowflake
Python
Key Responsibilities
Design and implement scalable ETL/ELT pipelines using Databricks and Apache Spark
Build cloud-native data engineering solutions on Azure platforms
Develop and optimize Big Data processing systems
Work with relational databases, data warehouses, and NoSQL systems
Build stream-processing systems using:
Spark Streaming
Storm
Develop and maintain data pipelines and transformation workflows
Collaborate with stakeholders for enterprise analytics and cloud migration projects
Work across offshore and onsite engagements
Participate in architecture design, deployment, and optimization activities
Required Skills & Expertise
Strong hands-on experience with:
Azure Data Services
Azure ADLS
Azure Databricks
Azure Data Flows
HDInsight
Azure Analysis Services
Expertise in:
Snowflake
SnowSQL
SnowPipe
ETL Data Pipelines
Strong programming skills in:
Python
Java
Experience with:
Apache Spark
Big Data architectures
Data Warehousing
Business Analytics
Understanding of:
SQL Server
MySQL
PostgreSQL
NoSQL databases
Experience with Big Data ML toolkits:
SparkML
Mahout
H2O
Preferred Skills
AWS Architecture Certification
Experience with:
AWS Step Functions
AWS Lambda
Exposure to:
GCP
Informatica Cloud
Oracle Cloud
Snowflake Cloud Data Warehouse
Good consulting and project management skills
Experience in complex program delivery environments
Interview Process
Glider Assessment Test
Technical Interview Round 1
Technical Interview Round 2
Preferred Candidate Profile
Strong analytical and problem-solving abilities
Excellent communication and stakeholder management skills
Ability to work in hybrid consulting environments
Experience handling enterprise-scale cloud and data transformation projects

Location