Data Engineer: Snowflake, dbt & AWS Data Pipelines

Tata Consultancy Services Limited; Richardson (TX); On-site; USD 130,000 - 145,000; Full time

Job summary

Tata Consultancy Services Limited is seeking a Data Engineer in Richardson, TX to design, develop, and optimize scalable ELT/ETL pipelines using Snowflake and dbt. The role focuses on building enterprise-grade data models for analytics, reporting, and AI initiatives, while enforcing data quality and governance.

You will collaborate with architects and analytics teams to deliver trusted data products and support modern cloud data engineering practices, including DataOps and CI/CD.

Qualifications

• Experience with Snowflake, dbt, SQL, Python, and AWS to support enterprise data modernization initiatives.
• Design, develop, and optimize scalable data pipelines, data models, and reusable data products.
• Experience with Snowflake CoCo and modern cloud data engineering practices is highly desirable.

Responsibilities

• Design, develop, and maintain scalable ELT/ETL pipelines using Snowflake and dbt.
• Build enterprise-grade data models supporting analytics, reporting, and AI initiatives.
• Perform source-to-target mapping and implement data transformation frameworks.
• Develop and optimize Snowflake databases, schemas, and data pipelines.
• Leverage Snowflake CoCo capabilities to accelerate data engineering activities.
• Implement data quality controls, reconciliation processes, and monitoring frameworks.
• Optimize query performance, warehouse utilization, and overall platform efficiency.
• Collaborate with architects, business stakeholders, and analytics teams to deliver trusted data products.
• Support DataOps and CI/CD practices for data engineering solutions.
• Ensure compliance with security, governance, and data management standards.

Skills

Data Warehouse

Education

Bachelor of Computer Science

Tools

Snowflake

dbt

SQL

Python

AWS

Job description

Tata Consultancy Services Limited is seeking a Data Engineer in Richardson, TX to design, develop, and optimize scalable ELT/ETL pipelines using Snowflake and dbt. The role focuses on building enterprise-grade data models for analytics, reporting, and AI initiatives, while enforcing data quality and governance.

You will collaborate with architects and analytics teams to deliver trusted data products and support modern cloud data engineering practices, including DataOps and CI/CD.