Delivery Lead
Openkyber
Lead Python Software Engineer (70% Python Development | 30% Data Engineering):
Location: Remote / Hybrid (Specify Location)
Duration: Long-Term Contract
Visa: Open (As per client requirement)
Job Summary We are seeking a highly skilled Lead Python Software Engineer with strong expertise in designing and developing scalable backend applications using Python. The ideal candidate should have approximately 70% hands-on Python backend development experience and 30% Data Engineering experience, including building ETL pipelines and processing large-scale data. The candidate should have experience developing cloud-native applications, microservices, REST APIs, and distributed systems while collaborating with cross-functional teams in an Agile environment.
Required Qualifications:- 8+ years of software engineering experience with strong Python development.
- Expertise in Python, FastAPI, Flask, or Django.
- Strong experience designing and developing RESTful APIs and Microservices.
- Hands-on experience with Docker and Kubernetes.
- Experience working with AWS, Azure, or Google Cloud Platform.
- Experience with CI/CD pipelines using Jenkins, GitHub Actions, GitLab CI, or similar tools.
- Strong SQL skills with PostgreSQL, MySQL, or similar databases.
- Experience with Git and Agile/Scrum methodologies.
- Experience building ETL/ELT pipelines.
- Hands-on experience with PySpark, Apache Spark, or similar technologies.
- Experience with Apache Airflow, AWS Glue, or other workflow orchestration tools.
- Experience processing structured and unstructured data.
- Knowledge of Kafka or other messaging/streaming platforms.
- Experience with data validation, transformation, and optimization.
- Experience with distributed systems and event-driven architecture.
- Infrastructure as Code (Terraform or CloudFormation).
- Redis or other caching technologies.
- Monitoring tools such as Datadog, Prometheus, Grafana, or CloudWatch.
- Experience with AI/ML or GenAI integrations is a plus but not required.
- Design, develop, and maintain scalable Python backend applications.
- Develop REST APIs and microservices for enterprise applications.
- Build and maintain ETL pipelines and data processing workflows.
- Collaborate with product owners, architects, and engineering teams to deliver high-quality software.
- Optimize application performance, scalability, and reliability.
- Develop cloud-native applications and deploy them using Docker and Kubernetes.
- Participate in architecture discussions, code reviews, and technical mentoring.
- Troubleshoot production issues and implement performance improvements.
- Follow best practices for software development, testing, security, and CI/CD.
Nice to Have: FastAPI, PySpark, Apache Airflow, Kafka, AWS Glue, Terraform, Kubernetes, Redis, Snowflake, Databricks, Google Cloud Platform.
Key Technologies: Python, FastAPI, Flask, Django, REST APIs, Microservices, Docker, Kubernetes, AWS, Azure, Google Cloud Platform, PySpark, Airflow, Kafka, SQL, PostgreSQL, ETL, CI/CD, Terraform, Git, Agile.
This posting is aligned with a role where the primary focus is Python backend engineering (70%) with supporting Data Engineering responsibilities (30%), making it suitable for candidates who are Python-first engineers with hands-on experience in data pipelines and ETL processing.
For applications and inquiries, contact:View email address on us.fitly.work
Vacancy posted 2 days ago
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