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 an Engineering Manager specializing in Azure, AWS, and DBT, you will lead the charge in transforming data engineering processes within our Data and Analytics Engineering group.

Your role will involve working directly with clients to deliver innovative solutions that drive data modernization and product innovation. Within our Cloud Engineering, Data & Analytics network, you will be at the forefront of leveraging cutting-edge technologies to enhance client outcomes and streamline data operations. As a Senior Associate, you will utilize your problem-solving skills and critical thinking to navigate complex challenges and build meaningful client relationships.

You will guide and mentor junior team members, fostering their growth while maintaining professional and technical standards. Your ability to anticipate client needs and embrace ambiguity will be crucial in delivering quality solutions and growing your personal brand. In this role at PwC Acceleration Center India,



you will collaborate with multidisciplinary teams to develop and implement data strategies that align with business objectives.

Your contributions will be pivotal in driving continuous improvement and innovation, confirming that our clients receive tailored solutions that meet their evolving needs.

Responsibilities Leading the design and implementation of scalable data engineering solutions using Azure and AWS platforms

Managing data pipelines and workflows with tools such as Apache Airflow and Azure Data Factory

Developing and optimizing data architectures to support data integration and transformation processes

Building and maintaining data warehouses and lakes, confirming data quality and security

Utilizing Databricks and Snowflake platforms to enhance data analytics capabilities

Collaborating with cross-functional teams to drive data strategy and innovation

Implementing database management and optimization techniques for performance tuning

Analyzing complex data sets to inform business decisions and improve data infrastructure

Mentoring junior team members in data engineering practices and methodologies

Confirming compliance with data governance and security best practices What You Must Have At least a Bachelor's degree





At least 2 years of experience

Oral and written proficiency in English required4+ years of experience working in Azure ADLS, Data Bricks, Data Flows, HDInsight, Azure Analysis services

Should be aware of Data Management concepts and Data Modelling

Good knowledge of Big Data frameworks and related technologies - Experience in Hadoop and Spark is mandatory

Should have expertise in extracting data from different source systems like flat files, XML sources, JSON, Parquet files, Big data appliances, RDBMS, etc.

Good knowledge of Big Data frameworks and related technologies - Experience in Hadoop and Spark is mandatory

Should have explicit understanding of DW lifecycle and contributed in preparing

Detail Level Design document

Unit Test plans

Code review reports 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 Amazon Web Services (AWS) and Microsoft Azure

Utilizing Apache Airflow and Databricks for data pipeline management

Excelling in data architecture development and database optimization

Leveraging experience with Snowflake Data Warehouse and data modeling

Applying analytical thinking to solve complex data engineering challenges

Embracing change and demonstrating learning agility in dynamic environments

📌 Engineering - Azure, AWS, DBT - Senior Associate (Bengaluru)
🏢 PwC Acceleration Center India
📍 Bengaluru