Azure Databricks, IICS,AI - Senior Associate
LocationHyderabad
SenioritySenior
Experience4+ yrs
DepartmentData, Analytics & AI
Company size10,000+ people
PostedOct 12, 2026 · 1d ago
Verified live1d ago
At a glanceSummarised by Seekless from the posting.
Bachelor's degree
At least 4+ years of experience
Oral and written proficiency in English required
Preference for at least one of the following fields of study: Management Information Systems, Computer and Information Science, Systems Engineering, Electrical Engineering, Chemical Engineering, Industrial Engineering, Mathematics, Statistics, Mathematical Statistics
Demonstrating hands-on Azure Databricks and IICS delivery experience
Leveraging Azure Data Factory, Databricks, and Snowflake for pipelines
Applying data modeling, data quality, and performance tuning methods
Translating complex data engineering needs into client-ready deliverables
Mentoring junior team members while navigating project ambiguity
Skills
Azure Databricks
Informatica Intelligent Cloud Services
Azure Data Factory
Apache Airflow
Snowflake
Industry/Sector
Not Applicable
Specialism
Data, Analytics & AI
Management Level
Senior Associate
Job Description & Summary
The Opportunity
Join our Acceleration Center India and help shape the future of business for our diverse client portfolio across geographies and jurisdictions. You’ll work at the heart of global teams across Advisory, Assurance, Tax and Business Services—solving real client challenges through connected collaboration. We’ll help you grow your skills so you can go further. With hands-on learning, cutting-edge tools and an inclusive culture, this is your opportunity to do inspiring work that makes a difference—every day.
As an Azure Databricks, IICS,AI - Senior Associate you will help deliver data engineering work that supports data modernization efforts across Azure Databricks, Informatica Intelligent Cloud Services, and AI-enabled solutions within our Data & Analytics Engineering practice. As a Senior Associate you will analyze complex workstreams, build meaningful client connections, guide junior team members, and use critical thinking to translate business needs into practical data solutions while growing your technical skills and personal brand. In this role at PwC Acceleration Center India, you will contribute to cloud-based data pipelines, support solution delivery, interpret feedback, and work across multiple priorities in a client support environment that values learning, adaptability, and consistent delivery.
Responsibilities
Responsibilities
•
Developing and supporting data engineering workstreams for Azure Databricks, Informatica Intelligent Cloud Services, and cloud-based data platforms
•
Building and maintaining data pipelines, transformation logic, and integration flows across modern analytics environments
•
Designing, testing, and tuning data models, warehouse structures, and processing jobs to support reliable reporting and analysis
•
Translating client data needs into scalable technical solutions for ingestion, cleansing, validation, and delivery
•
Monitoring data quality, pipeline performance, and troubleshooting activities to identify issues and refine processing logic
•
Applying Microsoft Azure Databricks, Azure Data Factory, Apache Airflow, and Snowflake tools to deliver modern data modernization solutions
•
Documenting technical design decisions, dependencies, and delivery status to support project coordination and stakeholder visibility
•
Collaborating with cross-functional teams and mentoring junior team members through technical review and problem solving
Requirements
What You Must Have
•
At least a Bachelor’s degree
•
At least 4+ years of experience
•
Oral and written proficiency in English required
Nice to have
What Sets You Apart
•
Preference for at least one of the following fields of study: Management Information Systems, Computer and Information Science, Systems Engineering, Electrical Engineering, Chemical Engineering, Industrial Engineering, Mathematics, Statistics, Mathematical Statistics
•
Demonstrating hands-on Azure Databricks and IICS delivery experience
•
Leveraging Azure Data Factory, Databricks, and Snowflake for pipelines
•
Applying data modeling, data quality, and performance tuning methods
•
Translating complex data engineering needs into client-ready deliverables
•
Mentoring junior team members while navigating project ambiguity
Travel Requirements
Not Specified
Job Posting End Date