Principal Data Engineer

A company is looking for a Principal Data Engineer (PySpark).

Key Responsibilities :

Design and evolve scalable, distributed data infrastructure across cloud platforms

Build and maintain real-time and batch data processing pipelines supporting analytics and AI / ML workloads

Mentor and support data engineers, establishing best practices and code quality standards

Required Qualifications :

10+ years of software development and data engineering experience with ownership of production-grade data infrastructure

Bachelor's degree in Computer Science or a related field, or equivalent practical experience

Deep expertise in scaling Spark in production (Databricks, EMR, etc)

Proficient in Python with experience implementing software engineering best practices

Hands-on experience with both relational (MySQL / PostgreSQL) and NoSQL (MongoDB, DynamoDB, Cassandra) databases