Top Engineering Jobs in Chennai

Lead and manage India-wide Control Systems & Instrumentation engineering delivering FEED, detailed engineering, PMC, EPF and licensing support. Ensure technical governance, resource and capacity planning, quality, productivity, continuous improvement and integration with other disciplines. Drive capability development, digital engineering adoption, automation, and support major international projects and workshare models while developing technical leaders and ensuring project delivery.

Build and maintain scalable ETL/ELT pipelines, design dimensional data models and data marts, ensure data quality and governance, optimize SQL and pipelines for performance/cost, and collaborate with stakeholders to deliver curated datasets for reporting, analytics, and AI initiatives.

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Lead mechanical design and product engineering for screening and centrifuge equipment. Manage multiple projects, ensure design integrity, collaborate across disciplines, deliver to scope/schedule/budget, approve 3D models and drawings, support manufacturing/installation/troubleshooting, drive standardization and R&D initiatives, and travel to sites and regional offices as needed.

Lead and align Engineering, ML, and Analytics to deliver scalable, reliable production AI and data systems. Own technical direction, architecture, MLOps, and platform reliability while partnering with Product, Sales, and Customers to ensure engineering work maps to measurable business outcomes.

Design, develop, optimize, and maintain cloud and on-premise database solutions and data pipelines. Build and tune complex SQL queries, ETL/ELT processes (DBT, Snowpipe, COPY INTO), and data models (star/snowflake schemas). Ensure data quality, security (RBAC), performance monitoring, and version control (Git/GitHub). Collaborate with cross-functional teams using Agile/Scrum and Jira.

Design, build, optimize, and deploy large-scale Spark/Scala data processing and ETL pipelines on Cloudera (CDH). Collaborate with data teams, ensure data integrity and security, troubleshoot performance, and implement version control and CI/CD for Spark applications.

Manage lifecycle, requirements, configuration, and roadmap for Control Engineering solutions. Translate market and engineering needs into product requirement specifications, drive implementation of new technologies, prioritize platform improvements, lead modular solution development, support tenders/projects with guidance and knowledge transfer, and ensure regulatory compliance and continuous improvement across global control teams.

Lead end-to-end delivery for mortgage, imaging, and lending platforms. Drive Agile practices, API-led and event-driven integrations, cloud-enabled scalable solutions, OCR/document processing and workflow automation. Ensure regulatory compliance, production stability, vendor management, and build high-performing offshore engineering teams while partnering with onshore product and architecture stakeholders.

Lead and mentor a 5–10 person engineering team, manage SDLC and releases, coordinate with onshore teams, oversee application support and incident management, drive cross-functional initiatives, enforce coding and design standards, and support career development and staffing.

Lead SRE teams to own reliability for distributed systems, APIs, microservices and data pipelines. Define SLOs/SLIs, run incident response, capacity planning, resiliency testing, and automation to reduce toil. Manage people, on-call operations, cross-functional collaboration, platform enablement, and operational governance for production readiness and continuous reliability improvement.

Lead and grow engineering teams to deliver scalable, resilient Java-based full-stack platforms. Drive architecture, system design, CI/CD deployment strategies, testing automation, observability, and operational excellence while collaborating with product, UX, and distributed onshore-offshore teams.

Lead multiple client-facing engineering pods (15-25 engineers) across cloud, data, and AI/ML engagements. Own delivery quality, SOW-to-go-live execution, architecture sign-off, incident RCA, and direct people management for senior engineers while partnering with pre-sales and driving engineering culture.

Lead technical delivery for complex marine power-conversion projects (VCS, DP, drives, power systems). Produce system designs, specifications, and reviews; mitigate technical risks; support sales, sourcing, and project teams; develop engineering capability and roadmaps for India region.

Design and develop large mining thickening equipment using SolidWorks. Create and validate 3D models, drawings, BOMs, and documentation. Ensure design quality, manufacturability, and compliance with standards. Support fabrication, assembly, site teams, and contribute to product improvement and value engineering.

Lead product standardization for mining thickening equipment: develop and approve 3D models, drawings, BOMs; create standard parts and libraries; drive design optimization, modular development, and continuous improvement; mentor designers; collaborate with manufacturing, sourcing, and quality to deliver compliant, cost-effective engineering solutions.

Lead the offshore Data Engineering team to own Databricks Lakehouse architecture, ingestion, Medallion modeling, governance, and performance. Build scalable media/marketing data pipelines, drive AI-assisted development, enforce taxonomy and data quality, mentor engineers, and coordinate delivery with onshore stakeholders while productizing reusable data products.

Lead and manage the offshore Data Engineering team to design, build, and operate the Databricks Lakehouse. Own ingestion, Medallion modeling, Unity Catalog governance, Lakeflow/Delta Live Tables pipelines, data quality, and performance. Drive AI-assisted data development, enforce schema and taxonomy standards, partner with analytics and ad ops teams, and productize reusable data platform components while mentoring engineers and coordinating delivery with onshore leadership.

Build AI-assisted workflows and tool-using agents for semiconductor engineering automation: connect agents to platform APIs and data, create knowledge-ingestion pipelines, design evaluation datasets and tests, develop reusable workflow templates, and integrate agents with real tools producing traceable results.

Lead strategy and development of AI/ML engineering solutions, enhancing decision-making and automation across the enterprise. Oversee advanced analytics and mentoring of data science teams.

Lead the industrialization process, improve production efficiency, manage equipment introduction, and participate in design and validation. Monitor performance and promote safety standards.

Manage and optimize global simulation and engineering tools, centralize licensing, develop automation (macros/scripts), coordinate cloud/IT solutions, provide documentation and training, and support global engineering teams to improve efficiency and reduce costs.

Lead architecture, design, and implementation of scalable vulnerability-scanning and security automation solutions. Build production-quality systems in Golang and Python, define APIs and data models, develop automation workflows, and own deployment strategies. Provide technical leadership, code and design reviews, mentor engineers, support production operations, and collaborate with platform, security, and operations teams to ensure reliability, observability, and secure engineering practices.