TELECOMMUTE Lead Python Software Engineer

Data Inc
United States
1 day ago

Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Experience level
Expert
Experience required
8 years minimum
Working hours
Regular working hours
Job source

Tech stack

Agile Methodology Airflow Amazon Web Services Application Performance Management Microsoft Azure Cloud Computing Continuous Integration Information Engineering Extract Transform Load (ETL) Django Web Framework Github Python (Programming Language)
+21 more
PostgreSQL MySQL SQL Databases Google Cloud Data Ingestion Spring Cloud Flask (Web Framework) Apache Spark Backend Fastapi Pyspark Gitlab-ci Kubernetes AWS Glue Apache Kafka Restful APIs Terraform Data Pipelines Docker Jenkins Microservices

Job description

We are seeking an experienced Lead Python Software Engineer with strong backend development expertise and hands-on Data Engineering experience. The ideal candidate should have extensive experience building scalable Python applications, REST APIs, microservices, and cloud-native solutions, along with ETL/data pipeline development.

Requirements

8+ years of Python development experience Strong hands-on experience with FastAPI, Flask, or Django REST APIs & Microservices Docker & Kubernetes AWS, Azure, or Google Cloud Platform CI/CD (Jenkins, GitHub Actions, GitLab CI) SQL (PostgreSQL/MySQL) Data Engineering (30%) ETL/ELT pipeline development PySpark or Apache Spark Airflow or AWS Glue Kafka or other messaging platforms Data ingestion, transformation, and optimization Responsibilities Design and develop scalable Python backend applications. Build REST APIs and microservices. Develop and maintain ETL/data pipelines. Deploy cloud-native applications using Docker and Kubernetes. Optimize application performance and troubleshoot production issues. Collaborate with cross-functional teams in an Agile environment.

Skills: Python, FastAPI, Flask, Django, REST APIs, Microservices, Docker, Kubernetes, AWS/Azure/Google Cloud Platform, PySpark, Airflow, Kafka, SQL, ETL, CI/CD, Terraform (Preferred).

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