Senior Data Engineer - Snowflake & DataOps Expert

Tata Consultancy Services; Dallas (TX); On-site; USD 110,000 - 130,000; Full time

Job summary

Tata Consultancy Services in Dallas seeks a Senior Data Engineer with expertise in Snowflake, Fivetran, Dbt, AWS Glue, Python, SQL, and PySpark to build scalable data ingestion and transformation frameworks for analytics, data products, and AI initiatives.

The role requires 7–10 years in Data Engineering and Data Integration, with collaboration across architects and analytics teams to deliver trusted datasets and data products. On-site role in Dallas with a focus on DataOps and governance.

Qualifications

• 7–10 years of overall experience in Data Engineering and Data Integration.
• Experience designing and implementing scalable data pipelines and data platforms.
• Strong understanding of data warehousing, data lakes, and data quality frameworks.

Responsibilities

• Design, develop, and maintain enterprise-scale data pipelines in Snowflake.
• Implement and manage data ingestion frameworks using Fivetran.
• Develop ETL/ELT workflows using Dbt, AWS Glue and PySpark.
• Build and optimize data lake solutions on AWS/Snowflake.
• Perform source-to-target mapping and support data migration initiatives.
• Implement data quality, validation, reconciliation, and monitoring frameworks.
• Develop reusable pipeline patterns and automation frameworks.
• Collaborate with architects, business stakeholders, and analytics teams to deliver trusted data products.
• Support AI and GenAI use cases by preparing and managing high-quality datasets.
• Follow DataOps, CI/CD, governance, and security best practices.

Skills

Snowflake

Fivetran

Dbt

AWS Glue

Python

SQL

PySpark

Education

Bachelor of Computer Science

Job description

Tata Consultancy Services in Dallas seeks a Senior Data Engineer with expertise in Snowflake, Fivetran, Dbt, AWS Glue, Python, SQL, and PySpark to build scalable data ingestion and transformation frameworks for analytics, data products, and AI initiatives.

The role requires 7–10 years in Data Engineering and Data Integration, with collaboration across architects and analytics teams to deliver trusted datasets and data products. On-site role in Dallas with a focus on DataOps and governance.