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Managed Services - Data Engineer - Senior Associate - PwC
Data Engineer
Senior Data Engineer in Managed Services delivering cloud‑based data pipelines, ETL, and analytics solutions on AWS, using Python, SQL, and Spark to drive client insights and performance optimization.
About the role
Key Responsibilities
- Design, develop, and maintain scalable data pipelines on AWS, ensuring high availability and performance.
- Implement ETL processes using Python, SQL, and Spark to transform and enrich large datasets for analytics.
- Collaborate with cross‑functional teams to translate business requirements into technical solutions and deliver actionable insights.
- Mentor junior engineers, fostering a culture of continuous improvement and knowledge sharing.
- Monitor and optimize pipeline performance, troubleshoot issues, and implement best practices for data quality and security.
Requirements
- 5+ years of experience in data engineering, with a strong focus on cloud platforms (AWS).
- Proficiency in Python, SQL, and Spark for data processing and transformation.
- Hands‑on experience building and maintaining ETL workflows and data lakes.
- Excellent problem‑solving skills and ability to work independently in a fast‑paced environment.
- Strong communication skills and a proven track record of mentoring junior team members.