SSIS Enhancements Data Engineer - Associate - Operate

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 - Associate - Operate, 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 an Associate, you will be driven by curiosity and contribute to client engagement and projects while developing your skills and knowledge to deliver quality work. You will adapt to working with a variety of clients and team members, each presenting unique challenges and scope. Every experience is an opportunity to learn and grow, taking ownership and consistently delivering work that drives value for our clients and success as a team. You will build a brand for yourself, opening doors to more opportunities.

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 be expected to uphold professional and technical standards, appreciate diverse perspectives, and commit to understanding how the business works, building commercial awareness.

Responsibilities

• Developing and implementing data pipelines to facilitate efficient data processing and analysis
• Designing and building data infrastructure and systems to support robust data solutions
• Transforming raw data into actionable insights to drive informed decision-making and business growth
• Utilizing Amazon Web Services (AWS) and Azure Data Factory for scalable data integration and transformation
• Applying data architecture development and database optimization techniques to enhance system performance
• Managing data validation and quality processes to maintain data integrity
• Collaborating with team members and clients to address diverse challenges and project scopes
• Leveraging Apache Airflow and Databricks Unified Data Analytics Platform for advanced data engineering tasks
• Engaging in active listening and accepting feedback to foster personal growth and development
• Upholding professional and technical standards while building commercial awareness and understanding of business operations

What You Must Have

• At least a Bachelor's degree
• At least 1 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 data engineering platforms like Databricks and Snowflake
• Utilizing cloud services such as AWS and Azure for data solutions
• Applying skills in database management systems like MySQL and PostgreSQL
• Excelling in data architecture development and optimization techniques
• Engaging in agile scalability and performance tuning methodologies
• Developing data integration and transformation strategies for diverse projects