DS Technologies Inc · 1 day ago
Data Engineer Lead
Lisle, IL 60532
Full-time
Onsite
Senior Level, Lead/Staff
6+ years expDS Technologies Inc is a company that provides innovative, transformative IT services and solutions. They are seeking a Data Engineer Lead who will ensure the accuracy and reliability of data, manage data extraction and cleansing processes, and collaborate with cross-functional teams to implement data-centric solutions.
Information Technology & Services
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
Qualification
Required
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
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
Company
DS Technologies Inc
DS Technologies Inc - SUCCESS IS OUR DUTY At DS Technologies, we’re more than just a technology provider – we’re your strategic partner in navigating the digital revolution.
51-200 employees
H1B Sponsorship
DS Technologies Inc has a track record of offering H1B sponsorships. Please note that this does not
guarantee sponsorship for this specific role. Below presents additional info for your
reference. (Data Powered by US Department of Labor)
Distribution of Different Job Fields Receiving Sponsorship
Represents job field similar to this job
Trends of Total Sponsorships
2025 (2)
2024 (2)
2022 (5)
2021 (4)
Funding
Current Stage
Growth StageCompany data provided by crunchbase