Microsoft Fabric Data Engineer - Senior Associate at PwC · Bengaluru

Industry/Sector Not Applicable

Specialism Platform Engineering & Architecture

Management Level Senior Associate

Job Description & Summary The Opportunity

Join our Acceleration Center India and help shape the future of business for our diverse client portfolio across geographies and jurisdictions. You’ll work at the heart of global teams across Advisory, Assurance, Tax and Business Services—solving real client challenges through connected collaboration. We’ll help you grow your skills so you can go further. With hands-on learning, cutting-edge tools and an inclusive culture, this is your opportunity to do inspiring work that makes a difference—every day.

As a Microsoft Fabric Data Engineer - Senior Associate, you will play a pivotal role in shaping data engineering solutions within our Data and Analytics Engineering group. You will be at the forefront of designing, developing, and implementing data solutions that drive business insights and efficiencies. As a Senior Associate, you will leverage your problem-solving skills and critical thinking to navigate complex challenges and deliver client-focused solutions. You will build meaningful client connections and guide junior team members, fostering a collaborative environment that encourages growth and innovation.

In this role at PwC Acceleration Center India, you will work within our Cloud Engineering, Data & Analytics practice, contributing to the development of cutting-edge data platforms. Your responsibilities will include analyzing complex data sets, interpreting feedback, and developing a deeper understanding of the business context. You will be expected to anticipate the needs of your teams and clients, delivering quality solutions while embracing increased ambiguity. This position offers an opportunity to enhance your personal brand and technical skills, all while contributing to impactful projects that align with the firm's overall business strategies.

Responsibilities

• Developing and maintaining scalable data pipelines and architectures using Azure Data Factory and Apache Airflow
• Implementing data integration and transformation processes to support data analytics and reporting needs
• Managing data warehouse solutions using Snowflake and Databricks to optimize data storage and retrieval
• Designing and optimizing database schemas and queries for performance tuning and efficiency
• Collaborating with cross-functional teams to gather requirements and deliver data-driven solutions
• Confirming data quality and validation through rigorous testing and monitoring processes
• Utilizing Amazon Web Services (AWS) and Microsoft Azure for cloud-based data engineering tasks
• Building and managing data lakes and data warehouses to support business intelligence initiatives
• Applying analytical thinking to solve complex data challenges and improve data strategy
• Leading efforts in data anonymization and security best practices to protect sensitive information

What You Must Have

• At least a Bachelor's degree
• At least 2 years of experience
• Oral and written proficiency in English required

What Sets You Apart

• Preference for at least one of the following fields of study: Management Information Systems, Computer and Information Science, Systems Engineering, Electrical Engineering, Chemical Engineering, Industrial Engineering, Mathematics, Statistics, Mathematical Statistics
• Demonstrating proficiency in Microsoft Azure Databricks and Snowflake Data Warehouse
• Utilizing Apache Airflow for efficient data pipeline management
• Developing data architecture solutions with Databricks Unified Data Analytics Platform
• Implementing data integration strategies using Azure Data Factory
• Excelling in analytical thinking and problem-solving within data engineering contexts
• Navigating complex data environments with Amazon Web Services (AWS) expertise

Travel Requirements Not Specified

Job Posting End Date