About the role
Title: Data Engineer Snowflake, SAP HANA
Location: Onsite Toronto, Canada
Start Date: Immediate
Special Notes: Please note this is onsite position
Schedule: Standard Business Hours, Monday to Friday
Description
Job Summary
We are looking for a highly skilled Data Engineer with proven experience in Snowflake, SAP S4 HANA, and enterprise data integration, who can also assist in setting up data pipelines from SAP HANA to C3.ai or similar Enterprise AI platforms.
This is a 3 to 6-month onsite contract role in Toronto, where the ideal candidate will work closely with data, AI, and business teams to build robust pipelines enabling AI-driven analytics.
Key Responsibilities
Design, implement, and manage scalable ETL/ELT pipelines using Snowflake.
Extract and transform data from SAP S4 HANA and InfoFlow for downstream analytics and AI consumption.
Build and operationalize a data integration pipeline from SAP HANA to C3.ai or similar Enterprise AI platforms, ensuring clean, high-quality, structured datasets for modeling.
Support AI and data science teams with real-time and batch data feeds into C3.ai or equivalent platforms.
Work with system owners to understand business data, source schemas, and transformation logic.
Ensure data lineage, governance, and auditability are maintained across systems.
Optimize pipeline performance, monitor failures, and ensure high availability of the data pipeline architecture.
Required Skills & Qualifications
4+ years of experience in data engineering with strong knowledge of data integration and warehouse concepts.
Proficiency in Snowflake, SQL, and scripting (e.g., Python, Shell).
Hands-on experience with SAP S4 HANA integration (including CDS Views, OData/ODBC/JDBC extractions, or SLT).
Experience with InfoFlow or similar data pipeline orchestration tools.
Proven experience integrating enterprise data with C3.ai or similar platforms (e.g., Palantir, Azure ML, Google Vertex AI, SAS AI, etc.).
Deep understanding of enterprise data architecture, ETL best practices, and data modeling.
Familiarity with security and compliance standards in enterprise environments (e.g., PIPEDA, GDPR).
Preferred Qualifications
Experience with cloud platforms (AWS, Azure, or GCP).
Familiarity with C3.ai platform architecture, including data ingestion, modeling, and pipeline APIs.
Experience with data governance tools and metadata management systems.
Exposure to AI/ML pipelines, MLOps, or model deployment workflows.
About Atlantis IT Group
"Atlantis IT Group" is an IT venture that offers end-to-end services and products. The focus of "the Company" is to cater one-stop solutions to small and medium-sized businesses.
"Atlantis" had its first branch in Toronto, Canada, and was established in 1990. The Company has emerged from a small farm to a medium company providing all sorts of solutions, headquartered in Toronto, Canada The Company has had its branches and offices in different countries such as the USA, Canada, and India for the last 32 years.
Atlantis is enlarging its global footprint by offering complementary product and service lines by partnering and strategically working with businesses. The primary specialized area of the Company includes ERP solutions, with cloud-based and on-premise solutions available to meet the requirements of all Industries.
OUR PRODUCTS:
"WORKSWARE ERP" The emergence of WORKSWARE ERP is noticed from a ground level to an upgraded form because of the integrated ERP system, dedicated towards forward-thinking discrete manufacturing enterprises.
"BM-Cloud" BM-Cloud is One of the key offerings of Atlantis consulting as a Cloud-based business management ERP software since 2013. The significant feature of BM-Cloud includes easy usage with the enhancement of simplicity and usability as a complete integrated ERP system. The fundamental modules covered by BM-Cloud are accounting, inventory management, purchasing, sales, and HR/payroll systems. In other words, it is designed primarily to support businesses in the trading and retail sectors and includes all the essential components required for a firm to assist in decision-making.
"BM-POS"
We provide a cloud-based retail solution with all the tools required to manage a retail business, including a sales screen, inventory management, real-time dashboard, employee administration, and other functions that keep retailers in charge of their operations.
About the role
Title: Data Engineer Snowflake, SAP HANA
Location: Onsite Toronto, Canada
Start Date: Immediate
Special Notes: Please note this is onsite position
Schedule: Standard Business Hours, Monday to Friday
Description
Job Summary
We are looking for a highly skilled Data Engineer with proven experience in Snowflake, SAP S4 HANA, and enterprise data integration, who can also assist in setting up data pipelines from SAP HANA to C3.ai or similar Enterprise AI platforms.
This is a 3 to 6-month onsite contract role in Toronto, where the ideal candidate will work closely with data, AI, and business teams to build robust pipelines enabling AI-driven analytics.
Key Responsibilities
Design, implement, and manage scalable ETL/ELT pipelines using Snowflake.
Extract and transform data from SAP S4 HANA and InfoFlow for downstream analytics and AI consumption.
Build and operationalize a data integration pipeline from SAP HANA to C3.ai or similar Enterprise AI platforms, ensuring clean, high-quality, structured datasets for modeling.
Support AI and data science teams with real-time and batch data feeds into C3.ai or equivalent platforms.
Work with system owners to understand business data, source schemas, and transformation logic.
Ensure data lineage, governance, and auditability are maintained across systems.
Optimize pipeline performance, monitor failures, and ensure high availability of the data pipeline architecture.
Required Skills & Qualifications
4+ years of experience in data engineering with strong knowledge of data integration and warehouse concepts.
Proficiency in Snowflake, SQL, and scripting (e.g., Python, Shell).
Hands-on experience with SAP S4 HANA integration (including CDS Views, OData/ODBC/JDBC extractions, or SLT).
Experience with InfoFlow or similar data pipeline orchestration tools.
Proven experience integrating enterprise data with C3.ai or similar platforms (e.g., Palantir, Azure ML, Google Vertex AI, SAS AI, etc.).
Deep understanding of enterprise data architecture, ETL best practices, and data modeling.
Familiarity with security and compliance standards in enterprise environments (e.g., PIPEDA, GDPR).
Preferred Qualifications
Experience with cloud platforms (AWS, Azure, or GCP).
Familiarity with C3.ai platform architecture, including data ingestion, modeling, and pipeline APIs.
Experience with data governance tools and metadata management systems.
Exposure to AI/ML pipelines, MLOps, or model deployment workflows.
About Atlantis IT Group
"Atlantis IT Group" is an IT venture that offers end-to-end services and products. The focus of "the Company" is to cater one-stop solutions to small and medium-sized businesses.
"Atlantis" had its first branch in Toronto, Canada, and was established in 1990. The Company has emerged from a small farm to a medium company providing all sorts of solutions, headquartered in Toronto, Canada The Company has had its branches and offices in different countries such as the USA, Canada, and India for the last 32 years.
Atlantis is enlarging its global footprint by offering complementary product and service lines by partnering and strategically working with businesses. The primary specialized area of the Company includes ERP solutions, with cloud-based and on-premise solutions available to meet the requirements of all Industries.
OUR PRODUCTS:
"WORKSWARE ERP" The emergence of WORKSWARE ERP is noticed from a ground level to an upgraded form because of the integrated ERP system, dedicated towards forward-thinking discrete manufacturing enterprises.
"BM-Cloud" BM-Cloud is One of the key offerings of Atlantis consulting as a Cloud-based business management ERP software since 2013. The significant feature of BM-Cloud includes easy usage with the enhancement of simplicity and usability as a complete integrated ERP system. The fundamental modules covered by BM-Cloud are accounting, inventory management, purchasing, sales, and HR/payroll systems. In other words, it is designed primarily to support businesses in the trading and retail sectors and includes all the essential components required for a firm to assist in decision-making.
"BM-POS"
We provide a cloud-based retail solution with all the tools required to manage a retail business, including a sales screen, inventory management, real-time dashboard, employee administration, and other functions that keep retailers in charge of their operations.