Cloud Data Engineer

Tata Consultancy Services; Toronto; On-site; CAD 100,000 - 120,000; Full time

Job summary

Tata Consultancy Services Canada Inc. is a leading technology partner delivering data-intensive engineering solutions for large-scale organizations in Canada.

This role focuses on designing and building scalable data pipelines on AWS, managing data lakes and warehouses, and driving migration initiatives from on-prem IBM Netezza to cloud-native architectures. The candidate will implement ETL/ELT processes with AWS Glue, Lambda, and Spark, ensure data quality and security, and support production

Qualifications

• Extensive experience in Data Warehousing, Data Engineering, and AWS Cloud technologies.
• Strong knowledge in Banking and Financial Services.
• Experience designing and implementing large-scale data platforms and migration initiatives.

Responsibilities

• Design, develop, and maintain scalable data pipelines and workflows on AWS.
• Build and manage enterprise data lakes and data warehouses using AWS services such as Amazon S3 and Amazon Redshift.
• Develop and maintain ETL/ELT processes using AWS Glue, AWS Lambda, Apache Spark, and related technologies.
• Implement robust data ingestion frameworks including batch processing and streaming solutions.
• Optimize data ingestion, transformation, and data loading processes for performance and scalability.
• Monitor, troubleshoot, and support data pipelines and workflows.
• Design cloud-native data solutions leveraging AWS services and best practices.
• Ensure data quality, governance, security, and compliance standards are met.
• Implement and manage monitoring solutions using AWS CloudWatch.
• Manage access controls and security configurations using AWS IAM.
• Improve platform performance, scalability, reliability, and cost optimization.
• Migration & Modernization: Analyze and understand existing IBM Netezza implementations.
• Design and implement migration strategies from Netezza to AWS Data Lake architecture.
• Ensure feature parity and optimal performance in the target AWS environment.
• Support deployment and migration activities through production.
• Testing & Deployment: Perform unit testing and support QA, SIT, performance, and user acceptance testing activities.
• Support production releases and post-deployment validation activities.

Skills

Data Warehousing

Banking & FS

Data Platform Design

Tools

Amazon S3

AWS Glue

AWS Lambda

Amazon Redshift

AWS Step Functions

AWS IAM

AWS CloudWatch

ETL/ELT Design

Data Warehouse Architecture

Data Migration

Job description

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 Skills:

• Extensive experience in Data Warehousing, Data Engineering, and AWS Cloud technologies.
• Strong knowledge in Banking and Financial Services.
• Experience designing and implementing large-scale data platforms and migration initiatives.

Technical Skills (Must Have)

• Amazon S3 (Data Lake)
• AWS Glue (ETL)
• AWS Lambda
• Amazon Redshift
• AWS Step Functions
• AWS IAM
• AWS CloudWatch
• ETL/ELT Design and Development
• Data Warehouse Architecture
• Data Migration and Modernization

Key Responsibilities:

• Design, develop, and maintain scalable data pipelines and workflows on AWS.
• Build and manage enterprise data lakes and data warehouses using AWS services such as Amazon S3 and Amazon Redshift.
• Develop and maintain ETL/ELT processes using AWS Glue, AWS Lambda, Apache Spark, and related technologies.
• Implement robust data ingestion frameworks including batch processing and streaming solutions.
• Optimize data ingestion, transformation, and data loading processes for performance and scalability.
• Monitor, troubleshoot, and support data pipelines and workflows.
• Design cloud-native data solutions leveraging AWS services and best practices.
• Ensure data quality, governance, security, and compliance standards are met.
• Implement and manage monitoring solutions using AWS CloudWatch.
• Manage access controls and security configurations using AWS IAM.
• Improve platform performance, scalability, reliability, and cost optimization.
• Migration & Modernization:
• Analyze and understand existing IBM Netezza implementations.
• Design and implement migration strategies from Netezza to AWS Data Lake architecture.
• Ensure feature parity and optimal performance in the target AWS environment.
• Support deployment and migration activities through production.
• Testing & Deployment:
• Perform unit testing and support QA, SIT, performance, and user acceptance testing activities.
• Support production releases and post-deployment validation activities.

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

TCS does not use artificial intelligence tools for candidate screening or evaluation. This post is for a current vacancy. The hiring process includes an initial screening, followed by a technical evaluation and managerial discussion.

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.