Senior Associate Data Engineer AWS Snowflake Python AI/ML

About the Role

At PwC, our people in data and analytics engineering focus on leveraging advanced technologies and techniques to design and develop robust data solutions for clients. They play a crucial role in transforming raw data into actionable insights, enabling informed decision-making and driving business growth. In data engineering at PwC, 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.

Focused on relationships, you are building meaningful client connections, and learning how to manage and inspire others. Navigating increasingly complex situations, you are growing your personal brand, deepening technical expertise and awareness of your strengths. You are expected to anticipate the needs of your teams and clients, and to deliver quality. Embracing increased ambiguity, you are comfortable when the path forward isn’t clear, you ask questions, and you use these moments as opportunities to grow.

Skills

Examples of the skills, knowledge, and experiences you need to lead and deliver value at this level include but are not limited to:

• Respond effectively to the diverse perspectives, needs, and feelings of others.
• Use a broad range of tools, methodologies and techniques to generate new ideas and solve problems.
• Use critical thinking to break down complex concepts.
• Understand the broader objectives of your project or role and how your work fits into the overall strategy.
• Develop a deeper understanding of the business context and how it is changing.
• Use reflection to develop self awareness, enhance strengths and address development areas.
• Interpret data to inform insights and recommendations.
• Uphold and reinforce professional and technical standards (e.g. refer to specific PwC tax and audit guidance), the Firm's code of conduct, and independence requirements.

The Opportunity

When you join PwC Acceleration Centers (ACs), you step into a pivotal role focused on actively supporting various Acceleration Center services, from Advisory to Assurance, Tax and Business Services. In our innovative hubs, you’ll engage in challenging projects and provide distinctive services to support client engagements through enhanced quality and innovation. You’ll also participate in dynamic and digitally enabled training that is designed to grow your technical and professional skills.

As part of the Data Engineering team you shall architect and deliver innovative cloud data solutions that empower businesses. As a Senior Associate, you shall analyze complex problems, mentor junior team members, and build meaningful client relationships while navigating the intricacies of data engineering in a dynamic environment. This role offers the chance to deepen your technical skills and enhance your personal brand while contributing to significant projects.

Responsibilities

• Develop and implement solutions using AWS, Snowflake, DBT, Python, and AIML
• Collaborate with teams to enhance data processing and analytics
• Analyze complex data sets to provide actionable insights
• Mentor junior team members on technical skills and methodologies
• Stay updated on industry trends and emerging technologies
• Conduct workshops to gather requirements and feedback
• Uphold compliance with data governance and security standards
• Streamline workflows for improved productivity and effectiveness

What You Must Have

• Bachelor's Degree in Engineering, Computer Science, or related field
• 4 years of experience
• Oral and written proficiency in English required

What Sets You Apart

• Experience in architecting scalable cloud-based data solutions
• Hands-on experience with Snowflake utilities and ETL pipelines
• Skilled in AWS compute and storage services
• Familiarity with Big Data frameworks like Hadoop and Spark
• Experience in building stream-processing systems
• Knowledge of application DevOps tools and CI/CD frameworks
• Demonstrating analytical and problem-solving skills

Key skills/competency

Senior Associate Data Engineer AWS Snowflake Python AI/ML

• AWS
• Snowflake
• Python
• AI/ML
• Data Engineering
• Data Pipelines
• Cloud Data Solutions
• ETL
• Data Analysis
• Mentoring