Python Developer

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.

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