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Global Python Integration Specialist
2 weeks ago
Company Overview
Exult is a dynamic and innovative company that prides itself on delivering high-quality solutions to our clients. We are seeking a highly skilled and motivated Python Integration Engineer to join our team.
Job Description
We are looking for an experienced Python Integration Engineer to design, develop, and maintain robust and scalable integration solutions using Python and related technologies. In this role, you will collaborate closely with cross-functional teams to ensure seamless data flow and system interoperability.
Key Responsibilities:
- Design, develop, and implement Python-based integration solutions using various technologies such as APIs (REST, SOAP), message queues (Kafka, RabbitMQ), and ETL/ELT tools.
- Integrate diverse systems and applications, including databases, cloud platforms (AWS, Azure, GCP), and third-party services.
- Develop and maintain reusable code libraries and frameworks for integration purposes.
- Troubleshoot and debug integration issues, identify and resolve performance bottlenecks.
- Write clear and concise documentation for all integration solutions.
- Stay up-to-date with the latest advancements in integration technologies and best practices.
- Collaborate effectively with cross-functional teams (e.g., development, QA, operations) to ensure successful project delivery.
Required Skills:
- Strong proficiency in Python programming language with solid understanding of object-oriented programming principles.
- Experience with API development and integration (REST, SOAP).
- Working knowledge of message queuing systems (Kafka, RabbitMQ).
- Experience with ETL/ELT tools and data warehousing concepts.
- Familiarity with cloud platforms (AWS, Azure, GCP) and their integration services.
- Experience with relational databases (e.g., MySQL, PostgreSQL) and NoSQL databases (e.g., MongoDB).
- Strong problem-solving and debugging skills.
- Excellent communication and collaboration skills.
- Experience with containerization technologies (Docker, Kubernetes).
- Experience with data streaming technologies (Apache Spark, Flink).
- Experience with DevOps practices and tools (CI/CD, Jenkins, Git).
- Knowledge of Agile development methodologies.