Deskripsi Pekerjaan
Join the dynamic Business Application Consulting team at PwC as an AI Solutions Developer. In this pivotal role, you will be at the forefront of designing and implementing sophisticated data extraction and transformation processes. Your expertise will be crucial in securing accurate, high-quality data that drives strategic decision-making for our diverse clientele. We are seeking a visionary professional who can bridge the gap between complex data engineering and practical business application solutions.
As part of our consulting group, you will collaborate with cross-functional teams to develop robust AI-driven architectures. You will focus on optimizing data workflows, ensuring data integrity, and deploying scalable solutions that enhance operational efficiency. If you are passionate about leveraging Artificial Intelligence to solve real-world business challenges and possess a strong background in data engineering, we invite you to contribute to our innovative projects.
Tanggung Jawab
- Design, develop, and maintain scalable ETL/ELT data pipelines for efficient data extraction and transformation.
- Collaborate with senior consultants to understand complex business requirements and translate them into technical data strategies.
- Implement and fine-tune AI models to automate data validation and processing tasks.
- Ensure data security, accuracy, and compliance with industry standards throughout the transformation lifecycle.
- Perform data profiling and quality analysis to identify trends and anomalies in large datasets.
- Document technical specifications, data models, and process flows to support knowledge transfer.
- Stay abreast of emerging AI technologies and best practices to recommend innovative solutions to the team.
Kualifikasi
- Bachelor's degree in Computer Science, Information Technology, Data Science, or a related technical field.
- Proven experience (3+ years) in data engineering, specifically focusing on data extraction and transformation processes.
- Strong proficiency in Python, SQL, and familiarity with data visualization tools.
- Experience working with cloud platforms (AWS, Azure, or Google Cloud) and data warehouses (Snowflake, BigQuery).
- Understanding of AI/ML concepts and experience integrating machine learning models into data pipelines.
- Excellent analytical and problem-solving skills with a detail-oriented approach.
- Strong communication skills and the ability to work effectively in a fast-paced, client-facing consulting environment.