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Tier-1 brand, metro location, and mid-level generalist data engineering role attract high competition.
Core cloud, Kafka and data engineering skills are broadly transferable across industries.
Explicit 5+ years and mandatory Golang/Python, AWS, Kafka and data platform experience make shortlisting highly strict.
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Design, build, and operate the enterprise People Function Capability Layer ensuring secure, scalable, and cost-efficient integration of multiple People ecosystem systems.
Lead development of high-performance, event-driven data integration pipelines and manage AWS infrastructure for high availability and low latency.
Define technical standards, canonical data models, CI/CD pipelines, and observability practices across data platforms to maintain operational excellence and data integrity.
5+ years software engineering experience, including 3+ years focused on data engineering or distributed data platforms.
3+ years hands-on experience with Golang, Python, AWS, and Kafka in production environments.
Bachelor’s degree in Computer Science, Engineering, or related field, or equivalent practical experience.
Strong expertise with AWS cloud services, event-driven architectures, relational and NoSQL databases, RESTful API design, CI/CD tools, and cloud security best practices.
Experienced in designing and managing distributed, event-driven data systems in cloud-native environments, particularly AWS.
Proficient in building reliable, scalable data integration platforms using Golang, Python, Kafka, and containerization technologies like Docker.
Capable of owning end-to-end data platform operations including standards enforcement, performance optimization, and cross-functional collaboration.