About this role
The Opportunity
Join our Acceleration Center Mexico 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 SSIS Enhancements Data Engineer, you will play a pivotal role in transforming raw data into actionable insights, enabling informed decision-making and driving business growth. Within our Data and Analytics Engineering practice, you will focus on designing and building data infrastructure and systems to enable efficient data processing and analysis. You will be responsible for developing and implementing data pipelines, data integration, and data transformation solutions.
As a Senior Associate, you will build meaningful client connections and learn how to manage and inspire others. Navigating increasingly complex situations, you will grow your personal brand and deepen your technical skills. You are expected to anticipate the needs of your teams and clients, delivering quality work while embracing increased ambiguity. You will use critical thinking to break down complex concepts and interpret data to inform insights and recommendations.
In this role at PwC Acceleration Center Mexico, you will leverage advanced technologies and techniques to design and develop robust data solutions for clients. You will uphold professional and technical standards, using a broad range of tools and methodologies to generate new ideas and solve problems. This is an opportunity to develop a deeper understanding of the business context and how it is changing, while responding effectively to diverse perspectives and needs.
Responsibilities
- Designing and developing data infrastructure and systems to facilitate efficient data processing and analysis - Implementing data pipelines, integration, and transformation solutions to support client needs - Utilizing advanced technologies and techniques to convert raw data into actionable insights - Collaborating with clients to understand their data requirements and deliver tailored solutions - Managing and optimizing data architecture to enhance performance and scalability - Leveraging tools such as Apache Airflow, Azure Data Factory, and Databricks for data engineering tasks - Confirming data quality and integrity through validation and troubleshooting processes - Building and maintaining data warehouses and lakes to support analytics and reporting - Applying analytical thinking and problem-solving skills to address complex data challenges - Mentoring junior team members and fostering a collaborative team environment
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: Analytics/Data Science, Business Administration/Management, Computer Science/Information Systems, Economics, Engineering, Finance, Mathematics/Statistics, Operations/Supply Chain - Utilizing Amazon Web Services (AWS) and Microsoft Azure Databricks - Developing data pipelines and data integration solutions - Implementing data architecture and data modeling techniques - Excelling in analytical thinking and problem-solving - Navigating complex data engineering environments - Embracing change and demonstrating learning agility