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Tier-1 brand, metro Bangalore, mid-level generalist data role with broad stack increases applicant competition.
Core data engineering skills are transferable, though ad-platform and media domain experience is a plus.
Explicit 5+ years requirement and extensive mandatory cloud, data, and tooling stack increases filtering strictness.
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Own full lifecycle development of scalable microservices and foundational Quote-to-Cash services using Python, Django/Flask, and serverless architectures.
Lead technical direction, architecture best practices, and provide coaching for a team of software engineers.
Collaborate with product managers and stakeholders to translate requirements into efficient, high-quality software solutions ensuring operational excellence and CI/CD integration.
Bachelor’s degree in Computer Science, Computer Information Systems, Engineering, or related technical field.
5+ years of experience in web application development or software engineering in a large enterprise environment using modern frameworks.
Proficiency in Python with Django and/or Flask, SQL/NoSQL databases (Postgres, etc.), and cloud infrastructure technologies (AWS Lambda, Terraform, Kubernetes).
Experience with serverless architectures, Kafka/Kinesis/Redis, containerization (Docker), CI/CD pipelines, and observability tools like DataDog.
Hands-on leader capable of guiding technical teams while actively contributing to code and architecture decisions in an agile environment.
Experienced working in high-velocity, technically complex environments with multiple roles, ideally with some exposure to U.S. startup culture.
Strong background in cloud-native, scalable service development, particularly using serverless frameworks, microservices, and modern data streaming technologies.