SAP Data Services ETL Developer

About the role

As an SAP Data Services ETL Developer , you will make an impact by designing and delivering scalable, high-quality data integration solutions that power enterprise data platforms. You will be a valued member of the data engineering team and work collaboratively with business systems analysts, QA teams, and business stakeholders to ensure reliable and accurate data delivery across SAP and non-SAP environments.

In this role, you will:
Design, develop, and maintain SAP BusinessObjects Data Services (BODS) jobs, workflows, and dataflows

Build and support ETL pipelines integrating SAP (ECC, S/4HANA, BW, HANA) and non-SAP sources (Oracle, SQL Server, flat files, cloud storage)

Implement data transformation, cleansing, and data quality rules using BODS transforms

Develop and manage Slowly Changing Dimensions (Type 1 & Type 2) and surrogate key strategies

Optimize ETL processes for performance, scalability, and reliability while supporting testing, deployment, and production operations

Work model

We believe hybrid work is the way forward as we strive to provide flexibility wherever possible. Based on this role’s business requirements, this is a hybrid position requiring 2–3 days a week in a client office in Toronto, Canada . Regardless of your working arrangement, we are here to support a healthy work-life balance through our various wellbeing programs.

The working arrangements for this role are accurate as of the date of posting. This may change based on the project you’re engaged in, as well as business and client requirements. Rest assured; we will always be clear about role expectations.

What you need to have to be considered

5+ years of hands-on ETL development experience using SAP BODS / SAP Data Services

Strong expertise in building jobs, workflows, and dataflows, along with core BODS transforms (Query, Lookup, Merge, Validation, Match, Address Cleanse)

Solid understanding of data warehousing concepts, including fact/dimension modeling and star/snowflake schemas

Proven experience implementing Slowly Changing Dimensions (SCD) and data integration best practices

Strong SQL skills for data analysis, validation, and troubleshooting

These will help you stand out

Experience supporting large-scale enterprise data warehouse (EDW) or data migration programs

Ability to troubleshoot, monitor, and optimize batch processes using BODS Management Console

Experience collaborating across cross-functional teams including BSA, QA, and business stakeholders

Strong documentation skills across job design, data mappings, and operational runbooks

Exposure to production support, UAT cycles, and post-go-live stabilization activities

We're excited to meet people who share our mission and can make an impact in a variety of ways. Don’t hesitate to apply, even if you only meet the minimum requirements listed. Think about your transferable experiences and unique skills that make you stand out as someone who can bring new and exciting ideas to this role.

Salary and Other Compensation :
Applications will be accepted until June 14, 2026.

The annual salary for this position is between 88,000 - 107,000 CAD depending on experience and other qualifications of the successful candidate.

This position is also eligible for Cognizant’s discretionary annual incentive program, based on performance and subject to the terms of Cognizant’s applicable plans.

Benefits: Cognizant offers the following benefits for this position, subject to applicable eligibility requirements:

• Medical/Dental/Vision/Life Insurance
• Paid holidays plus Paid Time Off
• Long-term/Short-term Disability
• Paid Parental Leave

Disclaimer: The salary, other compensation, and benefits information is accurate as of the date of this posting. Cognizant reserves the right to modify this information at any time, subject to applicable law.