Data Engineer- Python

Role: Python Developer / Data Engineer

Location : Pasadena- CA Onsite/ Hybrid

Need locals in California (in-person Interview required)

Skills: Python , Pyspark , Data Bricks

Key Responsibilities:

• Design, develop, and maintain backend services and high-performance data pipelines using Python and PySpark.
• Architect and implement scalable APIs and microservices to support business-critical applications and integrations.
• Design and optimize PostgreSQL data models and queries for performance and reliability.
• Collaborate with cross-functional teams including data engineers, architects, and DevOps to ensure system robustness and scalability.
• Lead technical design discussions, mentor junior engineers, and enforce best practices in backend development.
• Participate in performance tuning, debugging, and production support.
• Integrate with external systems such as OpenText (experience helpful but not required).

Required Skills and Experience

• 7 years of professional software development experience, with a focus on backend systems.
• Expert-level proficiency in Python and PySpark for backend and data processing workloads.
• Experience with Databricks
• Strong understanding of backend architecture, distributed systems, and API design.
• Experience with PostgreSQL or other relational databases.
• Familiarity with cloud-based environments (AWS, Azure, or GCP) and CI/CD pipelines.
• Strong problem-solving skills and ability to work independently on complex projects.