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. "

Responsibilities:

Design and implement end-to-end data solutions on Microsoft Azure, including data lakes, data warehouses, and ETL/ELT processes. Develop scalable and efficient data architectures that support large-scale data processing and analytics workloads. Ensure high performance, security, and compliance within Azure data solutions. Know various techniques (lakehouse, warehouse) and have experience implementing them. Evaluate and choose appropriate Azure services such as Azure SQL Database, Azure Synapse Analytics, Azure Data Lake Storage, Azure Databricks (configuring, costing, etc), Unity Catalog, and Azure Data Factory. Should have deep knowledge and hands-on experience with these Azure Data Services. Ideally, knowledgeable and experienced with Microsoft Fabric. Work closely with business and technical teams to understand and translate data needs into robust, scalable data architecture solutions. Experience with data governance, data privacy, and compliance requirements. Excellent communication and interpersonal skills, with the ability to collaborate effectively with cross-functional teams. Provide expertise and leadership to the development team implementing data engineering solutions. Collaborate with Data Scientists, Analysts, and other stakeholders to ensure data architectures align with business goals and data analysis requirements. Optimize cloud-based data infrastructure for performance, cost-effectiveness, and scalability. Analyze data workloads and recommend optimizations for performance tuning, cost management, and reducing complexity. Monitor and address any issues related to performance and availability in cloud-based data solutions. Experience in programming languages (e.g., SQL, Python, Scala). Hands-on experience using MS SQL Server, Oracle, or similar RDBMS platform. Experience in Azure DevOps, CI/CD pipeline development Hands-on experience working at a high level in architecture, data science, or combination. In-depth understanding of database structure principles Distributed Data Processing of big data batch or streaming pipelines. Familiarity with data visualization tools (e.g., Power BI, Tableau, etc.) Data Modeling and strong analytics skills. The candidate must be able to take OLTP data structures and convert them into Star Schema. Ideally, the candidate should have DBT experience along with data modeling experience. Problem-solving attitude, Highly self-motivated, self-directed, and attentive to detail, Ability to prioritize and execute tasks effectively. Attitude and aptitude are highly important at Hitachi; we are a very collaborative group

Mandatory skill

sets:

Azure DE/Architect

Preferred skill

sets:

Azure DE/Architect

Years of

experience

required:

4-13 Years

Education

qualification:

Btech/MBA/MCA

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

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

Degrees/Field of Study preferred:

Certifications (if blank, certifications not specified)

Required Skills

Microsoft Azure

Optional Skills

Accepting Feedback, Accepting Feedback, Active Listening, Analytical Thinking, 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, Inclusion, Industry Trend Analysis {+ 16 more}

Desired Languages (If blank, desired languages not specified)

Travel Requirements

Available for Work Visa Sponsorship?

Government Clearance Required?

Job Posting End Date