Full Stack Data Engineer with Python Backend

Responsibilities:

• Develop, maintain, and enhance ETL pipelines for data ingestion and transformation.

• Design and build lightweight UIs using frameworks like Flask to display data in an intuitive, basic form.

• Build and expose RESTful API endpoints to integrate with databases and applications.

• Work with Postgres, DynamoDB, GraphQL to manage large volumes of data.

• Work with other engineering teams to ensure seamless integration and support for cross-functional projects.

• Assist with streaming data solutions, ensuring scalable data accessibility.

Skills:

• Primary Programming Language: Python

• Secondary Languages: Java, Go (for certain data layer updates)

• Databases: Postgres, DynamoDB, GraphQL

• Front-end Development: Flask (UI development)

• AWS: Experience with AWS services, including EMR, Kubernetes, and general cloud computing resources.

• 5+ years of experience in software engineering with strong experience in Python.

• Experience with ETL pipelines, data transformations, and working with large datasets.

• Strong familiarity with both relational and NoSQL databases (e.g., Postgres, DynamoDB).

• Comfortable building and consuming APIs and working with GraphQL.

• Experience with AWS cloud infrastructure and tools such as EMR and Kubernetes.

• Flexibility to work on different types of tasks (e.g., 50% ETL pipelines and 50% backend development)