About this role
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 Senior Associate specializing in Snowflake, DBT, and GCP, you will play a pivotal role in our Data and Analytics Engineering team, focusing on data engineering solutions that drive client success. Within our Cloud Engineering, Data & Analytics network, you will leverage your skills to transform data into actionable insights, supporting our Data Modernisation initiatives. As a Senior Associate, you will navigate complex client engagements, building meaningful relationships and mentoring junior team members to deliver quality solutions. You will use your problem-solving abilities to anticipate client needs and guide projects through ambiguity, enhancing your personal brand and technical skills.
In this role at PwC Acceleration Center India, you will be part of a dynamic environment where your contributions are valued. You will collaborate with a diverse team to develop innovative data solutions, utilizing a broad range of methodologies and techniques. Your ability to interpret data and provide insights will be crucial in shaping client strategies and delivering impactful results. This position offers a unique opportunity to grow professionally while making a significant impact within our practice.
Responsibilities
- Developing and implementing data engineering solutions using Snowflake, DBT, and GCP to support client data modernization initiatives - Managing data pipelines and optimizing database performance through tools like Apache Airflow and Azure Data Factory - Building scalable data architectures and integrating data from various sources, including Amazon Web Services (AWS) and Databricks Unified Data Analytics Platform - Conducting data validation and transformation processes to maintain data quality and integrity - Utilizing analytical thinking to troubleshoot data warehouse issues and enhance data warehouse indexing - Collaborating with teams to design and execute data strategies that align with business objectives - Applying dimensional modeling techniques to improve data organization and accessibility - Leveraging knowledge of database management systems, including MySQL and PostgreSQL, for efficient data storage and retrieval - Confirming database security best practices to protect sensitive information and maintain compliance - Guiding junior team members in data engineering practices and fostering a collaborative work environment
What You Must Have
- At least a Bachelor's degree - At least 4 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 Snowflake Data Warehouse and Schema - Utilizing Apache Airflow for data pipeline orchestration - Leveraging Amazon Web Services (AWS) and Microsoft Azure Databricks - Developing data architecture and integration strategies - Excelling in data modeling and dimensional modeling - Applying analytical thinking to solve complex data challenges