Principal Data Engineer (PySpark, AI)
Autodesk, Inc. (company site, opens in a new tab)10+ yrsBengaluruOn-siteDirect career pageEst. 40–80 LPA
Posted 10h ago
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Job description
Structured overview of role & requirements
About This Role
- Architect and lead scalable, reliable data engineering platforms processing billions of records with PySpark, Spark SQL, and Python.
- Drive modernization efforts including incremental processing, reusable frameworks, and data lakehouse architectures leveraging AI/GenAI tools for productivity and quality enhancements.
- Own complex cross-team engineering initiatives end-to-end, resolving performance, scalability, and reliability challenges while mentoring engineers and leading architectural decisions.
Minimum Requirements
- 10+ years experience in data engineering or large-scale data processing.
- Strong hands-on expertise with Apache Spark, PySpark, Python, Spark SQL, SQL, and performance tuning.
- Experience with AWS, Hive, Snowflake, data modeling, ETL/ELT, orchestration (e.g., Airflow), CI/CD, and cloud infrastructure.
- Hands-on experience applying AI/GenAI technologies to data engineering workflows (LLMs, prompt engineering, AI-assisted tools).
Ideal Candidate Profile
- Senior technical leader with proven architectural decision-making and mentoring skills on large data platform projects.
- Experienced in modernizing legacy data platforms, optimizing Spark workloads, and implementing data engineering best practices.
- Comfortable working across cross-functional teams with product managers and data scientists to translate requirements into scalable solutions.