Python Developer

Valiant Technologies LLC; Wilmington (DE); Presencial; USD 120.000 - 160.000; Jornada completa

Descripción de la vacante

Valiant Technologies LLC is seeking a skilled Python/Data Engineering professional to design and implement scalable data pipelines using PySpark, Airflow, and AWS services. You will work across the stack with Pandas/NumPy, Flask/Django, and modern CI/CD practices to deliver robust, high-performance solutions.

Ideal candidates have hands-on experience with Snowflake or Databricks and may explore ML/AI frameworks or AI-assisted tools to boost productivity.

Formación

• Expert Python programming and strong problem-solving skills.
• Extensive PySpark experience, Spark SQL, and distributed data processing.
• Proficient in Python testing (PyTest, PyUnit) and debugging.
• Deep knowledge of Pandas, NumPy, Flask or Django libraries.
• Hands-on with Airflow, Kafka, Jenkins, Spinnaker data pipelines.
• Ability to design scalable, reliable, high-performance apps.
• Experience with AWS services (S3, EC2, Lambda, ECS, EventBridge).
• Familiar with CI/CD and DevOps for automated deployments.
• Nice to have Snowflake, Databricks in cloud data warehousing.
• Exposure to ML/AI frameworks and AI-assisted tools like Copilot and LLMs.

Conocimientos

Python programming

PySpark

PyTest

Pandas

NumPy

Flask

Django

Airflow

Kafka

Jenkins

Spinnaker

AWS services

EventBridge

CI/CD

DevOps practices

Snowflake

Databricks

Machine Learning basics

GitHub Copilot

LLMs understanding

Herramientas

PySpark

PyTest

Pandas

NumPy

Flask

Django

Airflow

Kafka

Jenkins

Spinnaker

AWS S3

AWS EC2

AWS Lambda

AWS ECS

EventBridge

Snowflake

Databricks

GitHub Copilot

LLMs

Descripción del empleo

• Expert proficiency in Python programming language with strong coding and problem-solving skills.
• Strong experience in PySpark, including Spark SQL and distributed data processing using Spark APIs.
• Experience in testing and debugging applications using Python testing frameworks such as PyTest, PyUnit, etc.
• In-depth knowledge of Python libraries and frameworks like Pandas, Numpy, Flask, or Django.
• Hands-on experience with data pipeline and orchestration tools such as Airflow, Kafka, Jenkins, and Spinnaker.
• Strong knowledge of designing scalable, reliable, and high-performance applications.
• Experience working with AWS cloud services such as S3, EC2, Lambda, ECS, Event Bridge, etc.
• Experience with CI/CD pipelines and DevOps practices for automated deployments.
• Good to have experience with cloud data warehousing platforms such as Snowflake, Databricks.
• Nice to have exposure to Machine Learning and AI frameworks.
• Familiarity with AI-assisted development tools such as GitHub Copilot and understanding of Large Language Models (LLMs) for improving developer productivity and building intelligent features.

We are an equal opportunity employer. All aspects of employment including the decision to hire, promote, discipline, or discharge, will be based on merit, competence, performance, and business needs. We do not discriminate on the basis of race, color, religion, marital status, age, national origin, ancestry, physical or mental disability, medical condition, pregnancy, genetic information, gender, sexual orientation, gender identity or expression, national origin, citizenship/ immigration status, veteran status, or any other status protected under federal, state, or local law.