IN_Senior Associate_Azure Data Services_OC - D&A_Advisory_Bhubaneswar

Line of Service

Advisory

Industry/Sector

Not Applicable

Specialism

Data, Analytics & AI

Management Level

Senior Associate

Job Description & Summary

At PwC, our people in business application consulting specialise in consulting services for a variety of business applications, helping clients optimise operational efficiency. These individuals analyse client needs, implement software solutions, and provide training and support for seamless integration and utilisation of business applications, enabling clients to achieve their strategic objectives.

As an Oracle consulting generalist at PwC, you will possess a broad range of consulting skills and experience across various Oracle applications. You will provide consulting services to clients, analysing their needs, implementing software solutions, and offering training and support for effective utilisation of Oracle applications. Your versatile knowledge will allow you to assist clients in optimising operational efficiency and achieving their strategic objectives.

Responsibilities:

Design, develop, and maintain end-to-end data pipelines using Azure Data
Factory, Azure Synapse Analytics, and Azure Databricks
 Build and optimize data ingestion, transformation, and loading (ETL/ELT)
processes from multiple data sources
 Develop and manage data warehouses and data lakes using Azure Data Lake
Storage Gen2
 Implement data modeling for analytical and reporting use cases
 Write efficient SQL queries and optimize performance for large datasets
 Ensure data quality, consistency, security, and governance across platforms
 Collaborate with data analysts, data scientists, and business stakeholders
 Monitor pipeline performance and troubleshoot data issues
 Implement DevOps practices including CI/CD for data pipelines
 Work with structured, semi-structured, and unstructured data

Mandatory skill sets:

Strong experience with Microsoft Azure Data Services
 Proficiency in SQL and T-SQL
 Experience with Python / PySpark / Spark SQL
 Hands-on experience with Data Warehousing concepts
 Knowledge of Big Data ecosystems (Spark, Hadoop – preferred)
 Experience with ETL/ELT frameworks and best practices

Preferred skill sets:

Understanding of Azure security, RBAC, and data governance

Years of experience
required:
4 to 8 Years

Education qualification:

BE/B.Tech/MBA/MCA/M.Tech

Education (if blank, degree and/or field of study not specified)

Degrees/Field of Study required: Master of Business Administration, Bachelor of Technology

Degrees/Field of Study preferred:

Certifications (if blank, certifications not specified)

Required Skills

Azure Data Factory

Optional Skills

Accepting Feedback, Accepting Feedback, Active Listening, Agile Scalability, Amazon Web Services (AWS), Analytical Thinking, Apache Airflow, Apache Hadoop, Azure Data Factory, Communication, Creativity, Data Anonymization, Data Architecture, Database Administration, Database Management System (DBMS), Database Optimization, Database Security Best Practices, Databricks Unified Data Analytics Platform, Data Engineering, Data Engineering Platforms, Data Infrastructure, Data Integration, Data Lake, Data Modeling, Data Pipeline {+ 28 more}

Desired Languages (If blank, desired languages not specified)

Travel Requirements

Not Specified

Available for Work Visa Sponsorship?

No

Government Clearance Required?

No

Job Posting End Date

May 8, 2026