Data Engineer Lead

DS 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.

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

Skills

• 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
• 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 Overview

• 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. It was founded in 2018, and is headquartered in Ashburn, Virginia, US, with a workforce of 51-200 employees. Its website is https://www.dstechnologiesinc.com.

Company H1B Sponsorship

• DS Technologies Inc has a track record of offering H1B sponsorships, with 2 in 2025, 2 in 2024, 5 in 2022, 4 in 2021. Please note that this does not guarantee sponsorship for this specific role.