AWS Engineer

Inclusion without Exception

Tata Consultancy Services (TCS) is an equal opportunity employer, and embraces diversity in race, nationality, ethnicity, gender, age, physical ability, neurodiversity, and sexual orientation, to create a workforce that reflects the societies we operate in. Our continued commitment to Culture and Diversity is reflected in our people stories across our workforce and implemented through equitable workplace policies and processes.

Tata Consultancy Services (BSE: 532540, NSE: TCS) is the technology partner of choice for industry-leading organizations worldwide. Since its inception in 1968, TCS has upheld the highest standards of innovation, engineering excellence and customer service.

It has set an aspiration to become the world's largest AI-led technology services company and is enabling its clients to transform themselves across the full AI stack, from infrastructure to intelligence.

Rooted in the heritage of the Tata Group, TCS is focused on creating long term value for its clients, its investors, its employees, and the community at large. With a highly skilled workforce spread across 56 countries and 194 service delivery centers across the world, the company has been recognized as a top employer in six continents. With the ability to rapidly apply and scale new technologies, the company has built long term partnerships with its clients. Many of these relationships have endured into decades and navigated every technology cycle, from mainframes in the 1970s to artificial intelligence today.

Required skill set

"Skills and Responsibilities

"Technology ExpertiseStrong architecture and hands-on expertise across several of the following:

AWS Data & Analytics• Amazon S3, AWS Lake Formation, Glue Data Catalog• Amazon EMR on EC2 / EMR Serverless• Spark / PySpark, Amazon Athena• Lakehouse & Medallion Architecture.

• Data Fabric, Data Products, Data Marketplace• Data Pipelines, Metadata, Lineage & Data GovernanceAgentic AI & Knowledge Platforms• Amazon Bedrock / AgentCore.

• AgentCore Runtime, Gateway & Identity

.• Model Context Protocol (MCP)• Semantic Layer & Ontologies.

• Knowledge Graphs / Amazon Neptune• Agent Identity, Entitlements & AI GuardrailsIntegration, Security & Platform Engineering• AWS IAM, IAM Identity Center, Cognito.

• EventBridge, SNS, SQS, API Gateway, Lambda• Terraform, AWS CloudFormation.

• OpenTelemetry, CloudWatch, CloudTrail• QuickSight / SPICE / RLS / CLS• APIs, SQL, Angular and automatiom.

• Good years across Data Platforms, Cloud Engineering, Platform Engineering or Architecture.
• Good years of strong AWS architecture and engineering experience.
• Proven experience architecting and building enterprise-scale Data Platforms on AWS.
• Deep understanding of Data Architecture, Medallion/Lakehouse, Data Products, Data Pipelines, Semantic Layers, metadata, governance and security.
• Strong understanding of GenAI and Agentic AI architectures and their integration with enterprise data.• Experience taking solutions from architecture through implementation, production deployment and operationalization.• Ability to troubleshoot complex code, data, integration and performance issues.
• Strong experience creating Reference Architectures, HLDs and LLDs.• Ability to lead executive conversations as well as hands-on technical workshops.
• • Financial Services or regulated-industry experience preferred.Who Will Thrive in This RoleYou are neither a strategy-only Enterprise Architect nor solely a delivery-focused Data Engineer.You bring together:Architecture Depth | Hands-on Engineering | Data & Agentic AI.

Must Have

• Sound knowledge in python as programming language. Should be expert in oops programming, and pandas as well.
• Very good knowledge in Pyspark.
• Sound understanding of Data engineering stack in AWS.(EMR/Glue/Athena/Lakeformation/Lambda/SQS/SNS/S3 etc)
• Strong in IAC(infra as code) using Terraform/Terragrunt.
• Good Knowledge in Apache Hudi functionality.
• Sound knowledge in SQL queries.

Good to have.

• . Good knowledge on git actions.
• . Good knowledge in developing API on AWS.
• . Grasp/understand project tech stack and functionality very quickly.
• Financial data knowledge.
• Technology ExpertiseStrong architecture and hands-on expertise across several of the following:

Salary Range - CA$ 100,000 - CA$ 120,000 Per Year

Tata Consultancy Services Canada Inc. is committed to meeting the accessibility needs of all individuals in accordance with the Accessibility for Ontarians with Disabilities Act (AODA) and the Ontario Human Rights Code (OHRC). Should you require accommodation during the recruitment and selection process, please inform Human Resources.

Thank you for your interest in TCS. Candidates that meet the qualifications for this position will be contacted within a 2-week period. We invite you to continue to apply for other opportunities that match your profile.