Job Description:

Responsibilities:

• Develop, test, and maintain scalable back-end components and services using Python.

• Use PySpark to process and analyze large-scale datasets for business intelligence and reporting.

• Design and optimize database solutions with Teradata SQL or similar platforms.

• Collaborate with cross-functional teams to deliver efficient data-driven solutions.

• Troubleshoot, debug, and enhance existing systems and applications.

• Participate in code reviews and contribute to software architecture and design discussions.

Must-Haves:

• 2+ years of professional experience in Python back-end development.

• Hands-on experience with PySpark and big data processing.

• Strong skills in Teradata SQL and relational database management.

• Familiarity with Git and standard development tools/workflows.

• Solid debugging and performance optimization capabilities.

Plusses (Nice to Have):

• Experience with Hadoop, Hive, or other big data tools.

• Exposure to cloud platforms (AWS, GCP, or Azure).

• Understanding of CI/CD practices and automated testing.

• Experience with ETL pipelines and data modeling best practices.