Lead Software Engineer

Virtusa; Halifax; On-site; CAD 120,000 - 180,000; Full time

Job summary

Virtusa in Halifax, Canada is seeking a Senior Data Engineer to lead complex data engineering projects, design scalable data pipelines and architectures that align with business requirements.

You will optimize data workflows, manage pipelines, and ensure reliable operation of data systems, using Python/PySpark, SQL, Iceberg, and AWS services.

Qualifications

• 8+ Years overall IT experience with minimum 5 years of work experience in data engineering and related tech.
• Leadership experience directing data engineering teams and projects.
• Strong problem-solving and collaboration skills, with attention to detail.

Responsibilities

• Leads development of data pipelines and architectures that handle large-scale data sets.
• Designs, constructs, and tests data architecture aligned with business requirements.
• Provides technical leadership for data projects, ensuring best practices and high-quality data solutions.
• Collaborates with product, finance, and other business units to ensure data pipelines meet business requirements.
• Oversees development of data solutions that enable predictive and prescriptive analytics.
• Ensures the technical quality of solutions, managing data as it moves across environments.
• Aligns data architecture to enterprise standards.

Skills

Python/PySpark

SQL

Iceberg Data Lake

AWS Glue

AWS Data Services

Bash/Shell

Healthcare Finance

Agile Methods

Leadership

Communication

Job description

Position Summary

The Senior Data Engineer leads complex data engineering projects, working on designing data

Job Requirements

Senior Data Engineer

Position Summary

The Senior Data Engineer leads complex data engineering projects, working on designing data

architectures that align with business requirements. This role focuses on optimizing data

workflows, managing data pipelines, and ensuring the smooth operation of data systems.

Minimum Qualifications

8+ Years overall IT experience with minimum 5 years of work experience in below tech

Skills

Tech Skills:

• Strong experience in Python Scripting and PySpark for data processing
• Proficiency in SQL, dealing with big data processing
• Proven experience in data processing for data lake in Iceberg format, with
• strong understanding of architecture
• Experience in AWS Glue jobs
• Experience in AWS cloud platform and its data services (S3, Redshift, Lambda, EMR, Airflow, Postgres, SNS, Event bridge)
• Expertise in BASH/Shell scripting
• Strong understanding of healthcare Finance systems and experience leading data engineering teams
• Experience in Agile environments.
• Excellent problem-solving skills and attention to detail.
• Effective communication and collaboration skills.

Responsibilities

• Leads development of data pipelines and architectures that handle large-scale data sets.
• Designs, constructs, and tests data architecture aligned with business requirements.
• Provides technical leadership for data projects, ensuring best practices and high-quality data solutions.
• Collaborates with product, finance, and other business units to ensure data pipelines meet business requirements.
• Oversees development of data solutions that enable predictive and prescriptive analytics.
• Ensures the technical quality of solutions, managing data as it moves across environments.
• Aligns data architecture to Healthfirst solution architecture.

Work Experience

7-10Years