remote
Data & Analytics Implementation Assistant Manager - KPMG
Software Engineer
Lead data‑analytics projects for tax technology, driving end‑to‑end solutions with Python, SQL, and AWS. Manage data architecture, model design, and ML pipelines to deliver actionable insights for tax professionals.
About the role
Key Responsibilities
- Design and implement scalable data pipelines using Python, SQL, and AWS services (Glue, Redshift, S3).
- Develop data models and ETL processes to support tax analytics and reporting.
- Collaborate with product owners and business analysts to translate tax domain requirements into technical specifications.
- Integrate machine learning models for predictive tax risk analysis and automated compliance checks.
- Ensure data quality, governance, and security across all analytics solutions.
Requirements
- 3+ years of experience in data engineering or analytics within a technology or consulting environment.
- Proficiency in Python, SQL, and cloud data platforms (AWS).
- Strong knowledge of data modeling, ETL, and data warehousing concepts.
- Experience with machine learning frameworks (scikit-learn, TensorFlow) and data visualization tools (Tableau, Power BI).
- Excellent communication skills and ability to work cross‑functionally with tax and legal stakeholders.
Skills
pythonsqlawsmachine learning