Senior Associate AWS Data Engineer

Job Description & Summary:

At PwC, our people in business application consulting specialise in consulting services for a variety of business applications, helping clients optimise operational efficiency. These individuals analyse client needs, implement software solutions, and provide training and support for seamless integration and utilisation of business applications, enabling clients to achieve their strategic objectives.

As a business application consulting generalist at PwC, you will provide consulting services for a wide range of business applications. You will leverage a broad understanding of various software solutions to assist clients in optimising operational efficiency through analysis, implementation, training, and support.

A career within Data & Analytics Services will provide you with the opportunity to help our clients leverage transformation to enhance their customer experiences.

Responsibilities:

• Lead the development of advanced machine learning (ML) and statistical models to solve complex healthcare problems.
• Establish and promote best practices in modeling, experimentation, and analytical rigor.
• Convert real-world healthcare challenges into scalable data science solutions.
• Collaborate with global stakeholders to influence product and business strategy.
• Mentor and enhance the technical capabilities of the data science team.
• Keep up to date with the latest advances in ML and healthcare analytics.

Mandatory skill sets:

• Conduct exploratory data analysis using visualizations to understand data patterns and structures.
• Perform statistical analysis and hypothesis testing to validate assumptions.
• Develop, deploy, evaluate, and fine-tune machine learning models for business challenges.
• Design and implement scalable data pipelines, ETL workflows, and data integration strategies into Snowflake/Data Lake platforms.
• Utilize advanced statistical and machine learning methods to derive actionable insights.
• Lead AI research projects focused on innovative data analysis techniques.

Qualifications:

• 4+ years of hands-on experience building data analytics, data engineering, and machine learning solutions.
• Strong expertise with Azure Stack services and Snowflake.
• Proficient in SQL with deep knowledge of dimensional modeling.
• Experience creating interactive dashboards using Power BI or Tableau.
• Familiarity with advanced statistical analysis, machine learning, and predictive modeling.
• Programming proficiency in R or Python preferred.
• Excellent communication skills with the ability to simplify complex technical concepts for diverse audiences.
• Experience with AI Automation projects, including Generative AI or Agentic AI, is a plus.

Preferred skill sets:

• Python
• Machine learning
• Deep learning

Education Qualification:

• BTech/MTech
• Degrees/Field of Study required: Master of Business Administration, Bachelor of Engineering

Required Skills:

• Digital Strategy

Optional Skills:

• Accepting Feedback
• Active Listening
• AI Fluency
• AI-Human Collaboration
• Analytical Reasoning
• Analytical Thinking
• Application Software
• Business Data Analytics
• Business Management
• Business Technology
• Business Transformation
• Communication
• Creativity
• Digital Tooling
• Documentation Development
• Embracing Change
• Emotional Regulation
• Empathy
• Implementation Research
• Implementation Support
• Implementing Technology
• Inclusion
• Intellectual Curiosity
• Learning Agility