Senior Data Engineer

NielsenIQ

full-time senior Chennai, TN, India · More jobs in Chennai, Tamil Nadu, India

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Job Description

As a Senior Data Engineer, you will design, develop, and operate data platform components and data-intensive products. You will own significant data engineering work from requirements and design through implementation and production support, partnering with Data Engineering, Data Science, Cloud, DevOps, Application, Product, and client-facing teams to deliver reliable solutions that support business growth.

This is a hands-on role for an experienced engineer who can solve distributed-data challenges, contribute to sound technical decisions, support other engineers, and help bring emerging technologies into reliable production capabilities.

Responsibilities

• Design, develop, and maintain data pipelines, platform components, and data-intensive services.
• Own data engineering work from requirements and technical design through implementation, deployment, and production support.
• Contribute to data acquisition strategies, dataset contracts, acceptance criteria, quality standards, lineage, and lifecycle policies.
• Build scalable batch and real-time data pipelines, lakehouse architectures, and distributed processing solutions for high-volume workloads.
• Help evolve the data ecosystem to support growth in data volume, velocity, variety, and product complexity.
• Apply and improve reusable patterns for data ingestion, transformation, storage, orchestration, testing, observability, and delivery.
• Build production systems that meet expectations for reliability, security, performance, scalability, cost efficiency, and SLA-driven delivery.
• Contribute to operational practices for monitoring, incident response, failure recovery, replay, backfills, schema evolution, and disaster recovery.
• Partner with Data Science and ML teams to productionize ML, AI, and LLM-based workloads and integrate them into customer-facing products.
• Collaborate with Cloud, DevOps, Application, Security, Product, and client teams to deliver robust solutions for business and customer needs.
• Evaluate technologies and architectural patterns, contribute to technical proofs of concept, and recommend adoption based on measurable value.
• Document technical decisions, trade-offs, risks, and implementation approaches.
• Participate in technical reviews and help improve design, code quality, testing, maintainability, and production ownership.
• Support engineering roadmaps, hiring, and capability development across the data engineering discipline.