AWS Developer
2 weeks ago
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.
About TCS:
TCS is an IT services, consulting, and business solutions organization that has been partnering with many of the world's largest businesses in their transformation journeys for over 55 years. Its consulting-led, cognitive-powered portfolio of business, technology, and engineering services and solutions is delivered through its unique Location Independent Agile delivery model, recognized as a benchmark of excellence in software development. A part of the Tata group, India's largest multinational business group, TCS operates in 55 countries and employs over 607,000 highly skilled individuals, including more than 10,000 in Canada. The company generated consolidated revenues of US $ 30 billion in the fiscal year ended March 31, 2025, and is listed on the BSE and the NSE in India. TCS' proactive stance on climate change and award-winning work with communities across the world have earned it a place in leading sustainability indices such as the MSCI Global Sustainability Index and the FTSE4Good Emerging Index.
Required Skill Sets:
• Overview We are seeking a highly skilled and experienced Senior Data Engineer to join our dynamic team.
• In this role, you will be responsible for designing, building, and maintaining scalable and reliable data pipelines and infrastructure on AWS.
• You will play a critical role in enabling our data-driven decision-making processes by ensuring the availability and quality of our data.
• The ideal candidate will possess a strong background in AWS cloud services, Python, SQL, PySpark, Airflow, and infrastructure as code (CDK).
• Experience with DevOps practices is a significant plus.
• Responsibilities Data Pipeline Development Design, develop, and maintain robust and scalable data pipelines using Python, PySpark, and Airflow to ingest, process, and transform large datasets.
• Cloud Infrastructure (AWS) Architect, build, and manage data infrastructure on AWS using services like S3, EC2, EMR, Redshift, Glue, and Lambda.
• Infrastructure as Code (CDK) Implement and manage infrastructure as code using AWS CDK to ensure consistency, repeatability, and scalability of our data platform.
• Database Management Design and optimize database schemas and queries using SQL for efficient data storage and retrieval.
• Data Quality and Testing Implement comprehensive unit testing strategies to ensure data quality and pipeline reliability.
• Performance Optimization Identify and resolve performance bottlenecks in data pipelines and infrastructure.
• Collaboration Work closely with data scientists, analysts, and other engineers to understand data requirements and deliver effective solutions.
• Documentation Create and maintain thorough documentation of data pipelines, infrastructure, and processes.
• Monitoring and Alerting Implement monitoring and alerting systems to ensure the health and performance of data pipelines and infrastructure.
• DevOps (Preferred) Contribute to DevOps practices, including CICD pipelines, automated deployments, and infrastructure monitoring.
Desired Skill Sets:
• Development in AWS, Java, ECS, Docker, Postgres environment
• AWS, Java, ECS, Docker, Postgres
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.
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