Description

You will own the design, building, and operation of services and data pipelines.

Responsibilities

• Design, build, and operate Python services and RESTful APIs using frameworks like FastAPI or Flask, ensuring secure-by-default patterns.
• Develop scalable ETL and batch data pipelines using PySpark on platforms such as EMR or Databricks, optimizing transformations.
• Model and query relational data using SQL, contributing to schema design and indexing strategies.
• Integrate AWS services via SDKs in application code, applying least-privilege IAM and resilient fault-tolerance patterns.
• Write and review high-quality production code and tests using pytest, type hints, and linters, and diagnose issues via structured logging and profiling.

Required Skills

• 5+ years applied experience in software engineering with proficiency across the SDLC.
• Expertise in Python.
• Hands-on experience with AWS services.
• Proficiency with PySpark and Spark-related environments.
• Experience building RESTful APIs using FastAPI or Flask.
• Strong SQL skills for data modeling and querying.
• Familiarity with data platforms like Databricks and EMR.
• Experience with testing frameworks like pytest.

Preferred Skills

• Experience leading technical evaluations and shaping architecture in complex environments.
• Familiarity with cloud-native design patterns and NoSQL data stores.

Key Skills

Education

Any Graduate