In_senior Associate_data & Analytics_azure Data Engineering_advisory_noida

Senior Associate, Data, Analytics & AI

At PwC, our people in data and analytics focus on leveraging data to drive insights and make informed business decisions. They utilize advanced analytics techniques to help clients optimize their operations and achieve their strategic goals. In data analysis at PwC, you will focus on utilizing advanced analytical techniques to extract insights from large datasets and drive data-driven decision-making. You will leverage skills in data manipulation, visualization, and statistical modeling to support clients in solving complex business problems.

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 programs, 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.

Responsibilities:

• Design, develop, and manage scalable and secure data pipelines using Azure Databricks and Azure Data Factory.
• Write clean, efficient, and reusable code primarily in Python for cloud automation, data processing, and orchestration.
• Architect and implement cloud-based data solutions, integrating structured and unstructured data sources.
• Build and optimize ETL workflows and ensure seamless data integration across platforms.
• Develop data models using normalization and denormalization techniques to support OLTP and OLAP systems.
• Manage Azure-based storage solutions including Azure Data Lake and Blob Storage.
• Troubleshoot performance bottlenecks in data flows and ETL processes.
• Integrate advanced analytics and support BI use cases within the Azure ecosystem.
• Lead code reviews and ensure adherence to version control practices (e.g., Git).
• Contribute to the design and deployment of enterprise-level data warehousing solutions.
• Stay current with Azure cloud technologies and Python ecosystem updates to adopt best practices and emerging tools.

Mandatory skill sets:

• Strong Python programming skills (Must-Have) – advanced scripting, automation, and cloud SDK experience
• Strong SQL skills (Must-Have)
• Azure Databricks (Must-Have)
• Azure Data Factory
• Azure Blob Storage / Azure Data Lake Storage
• Apache Spark (hands-on experience)
• Data modeling (Normalization & Denormalization)
• Data warehousing and BI tools integration
• Git (Version Control)
• Building scalable ETL pipelines

Preferred skill sets (Good to Have):

• Understanding of OLTP and OLAP environments
• Experience with Kafka and Hadoop
• Azure Synapse Analytics
• Azure DevOps for CI/CD integration
• Agile delivery methodologies

Years of experience required:

• 6+ years of overall experience in cloud engineering or data engineering roles, with at least 2-3 years of hands-on experience with Azure cloud services.
• Proven track record of strong Python development with at least 2-3 years of hands-on experience.

Education qualification:

• BE/B.Tech/MBA/MCA

Degrees/Field of Study required: Master of Business Administration

Degrees/Field of Study preferred: