is a premier partner for global enterprises, leading the way in digitization, automation, and the development of next-generation digital products and services. Our expertise in digital transformation powers businesses to accelerate service delivery, drive customer engagement, and foster growth.
We are seeking a skilled Data Engineer with expertise in modern data platforms and real-time data integration to design, build, and maintain scalable data pipelines that power enterprise analytics and business intelligence. This role is ideal for someone who enjoys solving complex data engineering challenges and thrives working with distributed data processing frameworks.
What You'll be Doing:
- Design, build, and maintain scalable data pipelines using Databricks and Apache Spark
- Develop and optimize ETL/ELT processes to ingest, transform, and load data from diverse source systems
- Implement Change Data Capture (CDC) solutions to enable real-time and near-real-time data synchronization
- Write clean, efficient, and maintainable code in Python for data processing and automation
- Collaborate with data architects and analysts to translate business requirements into robust data pipeline designs
- Monitor, troubleshoot, and optimize data pipeline performance, reliability, and cost efficiency
- Ensure data quality, consistency, and integrity across ingestion, transformation, and storage layers
- Support integration of structured and unstructured data sources into unified data platforms
- Participate in code reviews and promote data engineering best practices across the team
- Document data pipelines, transformations, and architecture for team visibility and maintainability
- Collaborate with cross-functional teams to support analytics, reporting, and downstream AI/ML use cases
What You'll Need to Be Successful:
- 3+ years of experience in data engineering or a related field
- Strong hands-on experience with Databricks for data processing and analytics workloads
- Proficiency with Apache Spark for large-scale distributed data processing
- Experience implementing CDC solutions and tools (e.g., Debezium or similar)
- Strong programming skills in Python for data engineering tasks
- Solid understanding of SQL and relational database concepts
- Experience building and maintaining ETL/ELT pipelines in production environments
- Understanding of data modeling principles and data warehousing concepts
- Strong analytical and problem-solving skills
- Good communication skills, with the ability to work across technical and business teams
Preferred Qualifications:
- Experience with cloud platforms (AWS, Azure) and their data services
- Familiarity with orchestration tools (e.g., Airflow, Databricks Workflows)
- Knowledge of data governance and cataloging practices
- Experience with streaming data technologies (e.g., Kafka)
- Experience working in Agile/Scrum environments
is enabling a digital future. Headquartered in Toronto, we partner with clients in North & South America to digitize and automate their operations and build their next generation of digital products and services. We empower clients to enhance their digital offerings and bring creative solutions to the market faster. Learn more at .
is an equal opportunity employer and is committed to providing employment in accordance with the Ontario Human Rights Code and the Accessibility for Ontarians with Disabilities Act. Accommodations within reason due to a disability or medical need are available on request for candidates taking part in the recruitment process.
