Lead Data Engineer: ETL, Snowflake & Python

Virtusa; Florida; On-site; USD 120,000 - 180,000; Full time

Job summary

Virtusa is seeking an experienced data engineer to design, build, and maintain robust ETL pipelines for large-scale data integration and transformation across on-prem and cloud environments. You will translate complex business requirements into scalable data solutions and ensure reliability.

The role emphasizes Oracle and Snowflake, Python-based data processing, advanced SQL, and DBT, with collaboration across data architects, business analysts, and cross-functional teams to ensure data quality,

Qualifications

• 10+ years of experience in data engineering, ETL development, data integration, or database development.
• Hands-on experience with Oracle, Snowflake, DBT.
• Strong Python programming skills for scalable data solutions.
• Advanced SQL skills, including query development, performance tuning, and optimization.
• Strong understanding of ETL principles and data integration patterns.
• Data quality, validation, and automated testing/monitoring experience.
• Collaborating with data architects and analysts to translate requirements into technical solutions.
• AI skills preferred.

Responsibilities

• Design, build, and maintain ETL pipelines for large-scale data integration and transformation.
• Develop and optimize Oracle and Snowflake-based solutions.
• Write and optimize SQL queries and Python-based data processing solutions.
• Collaborate with data architects, business analysts, and cross-functional teams to translate requirements into technical solutions.
• Ensure data accuracy, consistency, integrity, and timeliness across data workflows.
• Implement data quality validation and automated testing/monitoring frameworks.
• Leverage DBT to manage data transformations.
• Stay current with data engineering patterns and best practices.

Skills

ETL Development

Python

SQL

Data Integration

Data Quality

Performance Tuning

AI Skills

Tools

Oracle

Snowflake

DBT

Job description

Virtusa is seeking an experienced data engineer to design, build, and maintain robust ETL pipelines for large-scale data integration and transformation across on-prem and cloud environments. You will translate complex business requirements into scalable data solutions and ensure reliability.

The role emphasizes Oracle and Snowflake, Python-based data processing, advanced SQL, and DBT, with collaboration across data architects, business analysts, and cross-functional teams to ensure data quality,