Python Developer

Robotics Technologies; Wilmington (DE); Presencial; USD 110 000 - 150 000; Tempo integral

Resumo da oferta

Robotics Technologies LLC is seeking a proficient Python data engineer to design and optimize scalable data pipelines. You will leverage PySpark and Spark SQL to process large datasets, implement robust testing, and collaborate with teams on API services using Flask or Django.

The role requires hands-on experience with Airflow, AWS services, and modern CI/CD practices. Familiarity with Snowflake/Databricks and ML-related tooling is a plus.

Qualificações

• Proven Python software development experience with emphasis on data engineering.
• Strong experience with PySpark and Spark SQL for large-scale processing.
• Hands-on testing experience using PyTest, PyUnit or similar frameworks.
• Familiarity with Pandas/Numpy for data manipulation and analysis.
• Experience with web frameworks (Flask or Django) and REST APIs.
• Proficient with Airflow for data pipelines and orchestration; exposure to Kafka/Jenkins/Spinnaker is a plus.
• Hands-on experience with AWS cloud services (S3, EC2, Lambda, ECS, EventBridge).
• Knowledge of data warehousing platforms like Snowflake or Databricks is desirable.

Conhecimentos

Python programming

PySpark

Spark SQL

Distributed data processing

Testing (PyTest/PyUnit)

Pandas/Numpy

Flask/Django

Airflow

Kafka/Jenkins/Spinnaker

AWS (S3, EC2, Lambda, ECS, EventBridge

Ferramentas

PySpark

Spark SQL

Airflow

Kafka

Jenkins

Spinnaker

AWS services (S3, EC2, Lambda, ECS, EventBridge)

Snowflake

Databricks

GitHub Copilot

LLMs

Descrição da oferta de emprego

• 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.