Line of Service

Advisory

Industry/Sector

Not Applicable

Specialism

Operations

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 data analysis at PwC, you will focus on utilising advanced analytical techniques to extract insights from large datasets and drive data-driven decision-making. You will leverage skills in data manipulation, visualisation, and statistical modelling to support clients in solving complex business problems.

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.

About the role:

A career in our Emerging Technologies/Businesses practice, will provide you with a unique opportunity to design and build modern data platforms that power emerging digital businesses. We help clients create scalable, secure and cloud-native data foundations on Azure that enable advanced analytics. Our team focuses on building end-to-end data pipelines and lakehouse architectures leveraging Azure Synapse, Databricks, Azure Data Factory and other Azure data services to help organizations unlock value from their data and accelerate innovation.

Responsibilities - Design and build robust ETL/ELT data pipelines for Structured, Semi-structured, Unstructured data on Azure using Data Factory, Synapse Pipelines, and Databricks (PySpark). - Develop and manage data lakes (ADLS Gen2) and data warehouses/lakehouses (Azure Synapse, Delta Lake) to support analytics and AI workloads. - Implement data ingestion frameworks (batch and streaming) from diverse enterprise and external data sources. - Apply data modelling, partitioning and performance optimization best practices for large-scale datasets. - Ensure data quality, lineage and observability using appropriate tools and Azure services. - Implement security, governance and compliance controls (RBAC, Key Vault, encryption, Purview) - Collaborate with AI/ML and GenAI teams to provision curated datasets and features for advanced use cases. - Work with DevOps teams to implement CI/CD, Infrastructure as Code and automated deployments of data assets - Contribute to PoCs and accelerators for new data patterns (real-time analytics, lakehouse, RAG data prep)

Mandatory skill sets: Azure Data Factory, Azure Synapse Analytics, Azure Databricks, ADLS Gen2, PySpark, Python, SQL, Data Warehousing, ETL/ELT, Git, CI/CD (Azure DevOps/GitHub), Azure SQL / SQL MI, Azure Security (RBAC, Key Vault, Encryption), Data Modeling

Preferred skill sets: Azure Event Hubs, Kafka, Azure Stream Analytics, Delta Lake/Lake house Architecture, Azure Purview, Power BI Integration, Azure Machine Learning / Azure OpenAI Integration, Terraform/Bicep, Cost Optimization on Azure Data Services, Real-time Analytics

Years of experience required: 4 to 8 years

Education qualification: B.E/B.Tech/M.Tech/MBA/MCA

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

Degrees/Field of Study required: Bachelor of Engineering, MBA (Master of Business Administration), Bachelor of Technology

Degrees/Field of Study preferred:

Certifications (if blank, certifications not specified)

Required Skills

Data Engineering

Optional Skills

Accepting Feedback, Accepting Feedback, Active Listening, Analytical Thinking, Artificial Intelligence, Business Planning and Simulation (BW-BPS), Communication, Competitive Advantage, Conducting Research, Creativity, Digital Transformation, Embracing Change, Emotional Regulation, Empathy, Implementing Technology, Inclusion, Innovation Processes, Intellectual Curiosity, Internet of Things (IoT), Learning Agility, Optimism, Product Development, Product Testing, Prototyping, Quality Assurance Process Management {+ 10 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