IN_Senior Associate_Azure DE_Data & Analytics_Advisory_PAN India at pwc

Gurugram, haryana, India -

Full Time

Start Date

Immediate

Expiry Date

21 Jun, 26

Salary

0.0

Posted On

23 Mar, 26

Experience

2 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Azure Databricks, Azure Data Factory, Synapse Analytics, Python Scripting, Advanced SQL, Azure Data Lake Storage, Data Warehousing, ETL Workflows, Azure DevOps, Infrastructure-as-Code, Docker, PowerShell, CI/CD Workflows, Data Pipelines, Cloud Migration, Cost Optimization

Industry

Professional Services

Description

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 for our 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 for each 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 firm’s 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 pipelines leveraging Azure Data Factory, Azure Databricks, and Synapse Analytics for efficient data ingestion and transformation. • Implement ETL workflows to extract data from diverse sources—including 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 and maintain infrastructure-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. • Utilize containerization technologies such as Docker for packaging, deployment, and orchestration of applications, ensuring security and scalability. • Write and maintain automation 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 tools including build and release pipelines, work item tracking, and REST APIs to support the software development lifecycle and team collaboration. Mandatory skill sets: • Expertise in 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 required: 4 – 7 yrs Education qualification: Btech/MBA/MCA Education (if blank, degree and/or field of study not specified) Degrees/Field of Study required: Master of Business Administration, Bachelor of Technology, Bachelor of Engineering 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? No Government Clearance Required? No Job Posting End Date April 6, 2026 Are you ready to make a difference? Want to unlock new value by applying your unique perspective and talents? You can grow exponentially at PwC. Here, you can uncover hidden talents, build lifelong relationships rooted in trust and empathy and turn challenges into opportunities for innovation. We’ll help you grow your skills through challenging, meaningful work so you can go further.

How To Apply:

Incase you would like to apply to this job directly from the source, please click here

Responsibilities

Responsibilities include designing and developing scalable data pipelines using Azure services like Data Factory, Databricks, and Synapse Analytics for efficient data ingestion and transformation from diverse sources. The role also involves administering Azure cloud infrastructure, leading migration projects, and automating deployments using Infrastructure-as-Code and Azure DevOps.