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Tier-1 brand, mid-level (2–6 yrs) generalist Python/data role increases candidate competition.
Core Python, backend, and data engineering skills are transferable, but Azure/Databricks focus raises domain specificity.
Multiple mandatory technical skills and explicit 2-6 years requirement.
Design, develop, test, and maintain scalable backend applications and high-performance APIs using Python (Flask, Django).
Architect and implement distributed microservices with Temporal workflows for process orchestration.
Collaborate across teams, participate in code reviews, mentor juniors, and handle production incidents in an agile environment.
2 to 6 years of software development experience with Python 3.x.
Bachelor’s or Master’s degree in Computer Science, Engineering, or related field.
Experience with Python frameworks (Django, Flask), databases like Cosmos DB, and message queues such as Kafka or Eventhub.
Not explicitly mentioned: Notice period, location-specific requirements, or mandatory certifications.
Experienced in migrating legacy enterprise applications to microservices with data migration expertise.
Ability to work cross-functionally with DevOps for CI/CD pipeline implementation.
Strong analytical, problem-solving, and communication skills demonstrated by mentoring experience and collaboration in agile settings.