Senior Full Stack Data Engineer

Capital Numbers Infotech · Hyderabad

Source and collection record

Last observed by our collector: 9 October 2026 at 12:39 am IST. This is not a manual review or a confirmation from the employer.

Employer requisition: senior-full-stack-data-engineer

Job type and experience labels are automated discovery categories. The employer determines eligibility. Retained employer experience wording: 6-8 years.

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Retained employer experience wording: 6-8 yearsAttendance and availability: I checked the employer page for work location, office attendance, start date and duration.Current requisition: I checked the current employer requisition and its application requirements.

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Collected role description

Capital Numbers is seeking a senior-level Full Stack Data Engineer to design, build, and scale core enterprise data infrastructure. This role demands an enginee Roles & RESPONSIBILITIES: Pipeline & Architecture Engineering: Design, build, and maintain scalable batch and real-time streaming ETL/ELT data pipelines, cloud data platforms, and lakehouse storage. Backend & API Development: Develop robust, production-grade REST APIs, microservices, and event-driven backends to integrate data platforms seamlessly with operational systems. AI & Analytics Enablement: Structure clean data architectures, CDC pipelines, and semantic layers to support operational analytics, feature engineering, and downstream AI/ML workflows. Platform Governance & Performance: Enforce data quality, observability, cost control, and monitoring while resolving production incidents and managing schema evolutions. Infrastructure & Dev Ops: Manage containerized deployments, automated CI/CD pipelines, and cloud infrastructure monitoring across enterprise networking environments. Leadership & Mentorship: Drive engineering best practices, conduct code reviews, unblock team members, and mentor junior engineers across projects. Skills: Data Engineering: Python, SQL, Spark / Py Spark, Airflow, Kafka, Google Pub/Sub, dbt, Snowflake / Big Query / Redshift, Postgre SQL / My SQL, Parquet / Delta Lake / Iceberg Backend & Platform: REST APIs, Fast API / Flask / Node.js, Microservices, Event-Driven Architectures, Message Queues (Rabbit MQ / Active MQ), Async Processing Cloud & Dev Ops: AWS / GCP / Azure, Docker, Kubernetes, CI/CD (Git Hub Actions / Jenkins), Terraform basics, Juniper enterprise networking ecosystems AI/ML Exposure: ML/AI data pipelines, Feature Stores, Vector Databases, LLM / RAG architectures, Real-Time Analytics Soft Skills: Technical Ownership, Production Debugging, Systems Thinking, Mentorship, Executive Communication Qualification & Experience EDUCATION: B.Tech / B.E. in Computer Science, IT, or equivalent engineering discipline (candidates from premier institutes like IITs, NITs, BITS, IIITs preferred). Track Record: Proven background building production-scale data platforms within product companies, Saa S platforms, high-scale startups, or data-intensive software organizations. Domain Advantage (Preferred): Prior experience in Healthcare Tech, EMR/HMIS systems, clinical data platforms, or healthcare data privacy standards.

Collected experience requirement

6 - 8 Years