INSenior AssociateAzure DEData & AnalyticsAdvisoryPAN India

Gurgaon - India

Monthly Salary: Not Disclosed

Posted on: Yesterday

Vacancies: 1 Vacancy

Job Summary

Line of Service

Advisory

Industry/Sector

Not Applicable

Specialism

Data Analytics & AI

Management Level

Senior Associate

Job Description & Summary

At PwC our people in data and analytics focus on leveraging data to drive insights and make informed business decisions. They utilise advanced analytics techniques to help clients optimise their operations and achieve their strategic goals.

In business intelligence at PwC you will focus on leveraging data and analytics to provide strategic insights and drive informed decision-making for clients. You will develop and implement innovative solutions to optimise business performance and enhance competitive advantage.

*Why PWC

At PwC you will be part of a vibrant community of solvers that leads with trust and creates distinctive outcomes forour clients and communities. This purpose-led and values-driven work powered by technology in an environment that drives innovation will enable you to make a tangible impact in the real world. We reward your contributions support your wellbeing and offer inclusive benefits flexibility programmes and mentorship that will help you thrive in work and life. Together we grow learn care collaborate and create a future of infinite experiences foreach other. Learn more about us.

At PwC we believe in providing equal employment opportunities without any discrimination on the grounds of gender ethnic background age disability marital status sexual orientation pregnancy gender identity or expression religion or other beliefs perceived differences and status protected by law. We strive to create an environment where each one of our people can bring their true selves and contribute to their personal growth and the firms growth. To enable this we have zero tolerance for any discrimination and harassment based on the above considerations.

Job Description & Summary:A career within.

Responsibilities:

Experience working with cloud-based database platforms such as Azure Synapse Analytics Azure SQL Database and Snowflake to enable scalable data warehousing and analytics solutions.

Design and develop scalable data pipelinesleveragingAzure Data Factory Azure Databricks and Synapse Analytics for efficient data ingestion and transformation.

Implement ETL workflows to extract data from diversesourcesincluding relational databases REST APIs file systems real-time streams and Change Data Capture (CDC)and load it into Azure Data Lake Storage.

Monitor data pipeline health and implement performance tuning and cost optimization measures to ensure reliability and efficiency.

Administer cloud infrastructure in Azure environments focusing on networking security configurations monitoring setups and cost management.

Lead cloud migration projects transitioning existing workloads to Azure with attention to architectural best practices and operational continuity.

Develop andmaintaininfrastructure-as-code (IaC) and automate deployment processes using Azure DevOps pipelines ensuring repeatable and reliable application and infrastructure delivery.

Manage source control branching strategies and repository administration using Azure DevOps Repos and GitLab.

Utilizecontainerization technologies such as Docker for packaging deployment and orchestration of applications ensuring security and scalability.

Write andmaintainautomation scripts and tooling using languages including PowerShell and Python supporting deployment monitoring and configuration tasks.

Build and manage CI/CD workflows integrating code repositories automated testing security scans and deployment across multiple environments.

Leverage Azure DevOps toolsincludingbuild and release pipelines work item tracking and REST APIs to support the software development lifecycle and team collaboration.

Mandatory skill sets:

Expertisein Azure Databricks Azure Data Factory and Synapse Analytics

Proficient in Python scripting and advanced SQL query writing and optimization.

Experience with Azure Data Lake Storage and data warehousing concepts (star/snowflake schemas).

Preferred skill sets:

Azure Data Engineering & SQL

Years of experience:

4 7 yrs

Education qualification:

Btech/MBA/MCA

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

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

Degrees/Field of Study preferred:

Certifications (if blank certifications not specified)

Required Skills

Data Engineering Microsoft Azure

Optional Skills

Accepting Feedback Accepting Feedback Active Listening Analytical Thinking Applied Macroeconomics Business Case Development Business Data Analytics Business Intelligence and Reporting Tools (BIRT) Business Intelligence Development Studio Communication Competitive Advantage Continuous Process Improvement Creativity Data Analysis and Interpretation Data Architecture Database Management System (DBMS) Data Collection Data Pipeline Data Quality Data Science Data Visualization Embracing Change Emotional Regulation Empathy Geopolitical Forecasting 24 more

Desired Languages (If blank desired languages not specified)

Travel Requirements

Not Specified

Available for Work Visa Sponsorship

Government Clearance Required

Job Posting End Date

April 6 2026

Required Experience:

Senior IC

Line of ServiceAdvisoryIndustry/SectorNot ApplicableSpecialismData Analytics & AIManagement LevelSenior AssociateJob Description & SummaryAt PwC our people in data and analytics focus on leveraging data to drive insights and make informed business decisions. They utilise advanced analytics technique...