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Data Engineer Lead
Job Location:
Monthly Salary:
Posted:
8 September 2026 (11 hours ago)
Posted:
Application Deadline:
6 December 2026
Application Deadline:
Vacancies:
1 Vacancy
Vacancies:
Job Summary
Tekfortune is a fast-growing consulting firm specialized in permanent contract & project-based staffing services for worlds leading organizations in a broad range of this quickly changing economic landscape virtual recruiting and remote work are critical for the future of work. To support the active project demands and skills gaps our staffing experts can help you find the best job for you.
Role: Data Engineer Lead
Location: Lisle IL (onsite from day 1)
Duration: 6months
Required Skills: PeopleSoft BAAN Infor LN
Job Description:
As a Data Engineer Lead you will play a critical role in ensuring the accuracy and reliability of our data. You will be responsible for selecting appropriate tools performing technical data extraction writing programs and managing data from various sources including PeopleSoft BAAN Infor LN. You will leverage cutting-edge analytics to unlock the potential within our data guide critical business decisions and propel sustainable growth. Your expertise will help us maintain clean and usable data free from duplication and errors.
Key Responsibilities
Lead the data conversion team through scoping extraction mapping and loading of both the master data sets & transactional data sets from multiple sources into the SAP system through the project phases.
Design develop and implement components to migrate data from legacy platforms to SAP ERP platforms.
Define development and test templates and methods for extracting data from various sources with a strong emphasis on PeopleSoft BAAN Infor LN systems.
Evaluate and select appropriate tools and technologies for data extraction and cleansing.
Write programs and scripts to automate data extraction cleansing transform and load processes.
Identify and resolve data duplication issues. Perform data cleansing to ensure the accuracy and quality of data. Participate in governance for preventive measures due to duplication at source.
Create and maintain data mapping documents to map source data attributes to Business partner (customer/supplier) attributes.
Monitor Data quality issues and refine data quality rules and checks as needed.
Collaborate with cross-functional teams technology and architecture groups to understand data requirements and implement data-centric solutions.
Document processes methodologies and best practices for data extraction and cleansing.
Monitor data quality and continuously improve data management processes.
Minimum Requirements
6 years of overall technology experience that includes at least 4 years of hands-on software development data engineering and systems architecture.
Experience deploying modern data solutions leveraging components like Azure functions Azure Data Factory or AWS Glue
Experience with data migration platforms like Syniti or data stage
Experience with at least one of the data quality products like Informatica data quality Talend DQ or Atacama.
Experience with implementing SAP ERP solution (at least one or two implementations) hands-on experience with SAP Hana
Preferred Qualifications (What experience youd like to see candidates have)
Proven experience in data extraction data cleansing and data management.
Strong Proficiency in Python Spark PySpark PLSQL Pandas or similar.
Hands-on experience in Syniti Azure Data Factory Synapse ADLS and/or AWS Glue and other AWS data services
Design develop optimize and maintain data pipelines in Azure/AWS Cloud Platforms
Exhibit a thorough understanding of data quality master data management concepts and ETL/ELT operations.
Solid experience developing and maintaining data quality dashboards.
Solid experience maintaining data quality issue tracker and following up with data stewards/or data owners to fix critical issues.
Strong data analysis background including the planning and hands on execution of data cleansing and complex data conversions.
Ability to develop reports and analyze parse and manipulate data using SQL and tools such as Excel Access and SQL Loader
Strong problem-solving skills and attention to detail.
Ability to work independently and as part of a team.
Excellent communication and documentation skills.
Experience with data visualization tools and techniques. Familiarity with data warehousing processes.
Knowledge of data governance and data quality best practices.
For more information and other jobs available please contact our recruitment team at . To view all the jobs available in the USA and Asia please visit our website at
Role: Data Engineer Lead
Location: Lisle IL (onsite from day 1)
Duration: 6months
Required Skills: PeopleSoft BAAN Infor LN
Job Description:
As a Data Engineer Lead you will play a critical role in ensuring the accuracy and reliability of our data. You will be responsible for selecting appropriate tools performing technical data extraction writing programs and managing data from various sources including PeopleSoft BAAN Infor LN. You will leverage cutting-edge analytics to unlock the potential within our data guide critical business decisions and propel sustainable growth. Your expertise will help us maintain clean and usable data free from duplication and errors.
Key Responsibilities
Lead the data conversion team through scoping extraction mapping and loading of both the master data sets & transactional data sets from multiple sources into the SAP system through the project phases.
Design develop and implement components to migrate data from legacy platforms to SAP ERP platforms.
Define development and test templates and methods for extracting data from various sources with a strong emphasis on PeopleSoft BAAN Infor LN systems.
Evaluate and select appropriate tools and technologies for data extraction and cleansing.
Write programs and scripts to automate data extraction cleansing transform and load processes.
Identify and resolve data duplication issues. Perform data cleansing to ensure the accuracy and quality of data. Participate in governance for preventive measures due to duplication at source.
Create and maintain data mapping documents to map source data attributes to Business partner (customer/supplier) attributes.
Monitor Data quality issues and refine data quality rules and checks as needed.
Collaborate with cross-functional teams technology and architecture groups to understand data requirements and implement data-centric solutions.
Document processes methodologies and best practices for data extraction and cleansing.
Monitor data quality and continuously improve data management processes.
Minimum Requirements
6 years of overall technology experience that includes at least 4 years of hands-on software development data engineering and systems architecture.
Experience deploying modern data solutions leveraging components like Azure functions Azure Data Factory or AWS Glue
Experience with data migration platforms like Syniti or data stage
Experience with at least one of the data quality products like Informatica data quality Talend DQ or Atacama.
Experience with implementing SAP ERP solution (at least one or two implementations) hands-on experience with SAP Hana
Preferred Qualifications (What experience youd like to see candidates have)
Proven experience in data extraction data cleansing and data management.
Strong Proficiency in Python Spark PySpark PLSQL Pandas or similar.
Hands-on experience in Syniti Azure Data Factory Synapse ADLS and/or AWS Glue and other AWS data services
Design develop optimize and maintain data pipelines in Azure/AWS Cloud Platforms
Exhibit a thorough understanding of data quality master data management concepts and ETL/ELT operations.
Solid experience developing and maintaining data quality dashboards.
Solid experience maintaining data quality issue tracker and following up with data stewards/or data owners to fix critical issues.
Strong data analysis background including the planning and hands on execution of data cleansing and complex data conversions.
Ability to develop reports and analyze parse and manipulate data using SQL and tools such as Excel Access and SQL Loader
Strong problem-solving skills and attention to detail.
Ability to work independently and as part of a team.
Excellent communication and documentation skills.
Experience with data visualization tools and techniques. Familiarity with data warehousing processes.
Knowledge of data governance and data quality best practices.
For more information and other jobs available please contact our recruitment team at . To view all the jobs available in the USA and Asia please visit our website at
Required Experience:
IC
