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Mid-level data-engineer role in Gurugram with broad cloud, API and GCP requirements increases competition.
Strong cloud data pipeline skills are transferable, though financial market-data domain knowledge increases specificity.
Explicit 5+ years plus mandatory GCP, Python/Golang, Apigee and data-distribution experience make screening strict.
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Lead design, implementation, and optimization of a modern financial data distribution platform on GCP.
Collaborate with cross-functional teams to refine designs, build and migrate data pipelines to a new architecture.
Drive continuous improvement initiatives for performance, automation, and reliability of data services delivering to global clients.
5+ years of experience focused on data distribution in cloud environments.
Proficiency with GCP technologies including database, serverless, containerization, and API.
Bachelor's or Master's degree in Computer Science or related field.
Expertise in Python, Golang, SQL, Apigee, and experience with generative AI approaches.
Experienced in developing and deploying large-scale, complex data pipelines with API-first and real-time batch pipeline implementation.
Proven ability to work in a global/multinational team setting and agile delivery environment.
Strong technical leadership with a focus on simplicity, automation, observability, and incremental value delivery.