<p>Must have strong Industry experience in power/electricity and SCADA systems. Experience leading teams and full cycle design experience.</p><p>GENERAL:</p><p><br></p><p>1. Good organization skills with the ability to manage multiple projects simultaneously.</p><p>2. Excellent communication skills. Must be able to communicate in writing and verbally coherently with customers and other departments within the Company.</p><p>3. Must be disciplined to follow procedures. ISO9001:2015 Company.</p><p>4. Travel as required (domestic & international).</p><p>5. Experience with customers, presentations, business planning, strategy, budgets.</p><p>6. Very responsible, dedicated, works well under pressure.</p><p>7. MUST have Project engineering skills, decisive, willing to make decisions.</p><p>8. Strong PC Skills, hardware and software (Microsoft Suit, Excel, WORD, Outlook, Access, etc.).</p><p>9. Commercial Knowledge; revenue, cost, subcontracting.</p><p>10. Project Management Skills: commercial, scheduling, change order process, cost, etc.</p><p><br></p><p><br></p><p>TECHNICAL KNOWLEDGE</p><p><br></p><p>1. Networking experience: LAN experience with routers, bridges, switches, TCP/IP and Ethernet.</p><p><br></p><p>2. Communication: Lease Line, Radio (154/900 MHZ), Spread Spectrum, cable, Internet. Hands-on preferred.</p><p><br></p><p>3. PC Hardware: modems (232/485), NIC, video.</p><p><br></p><p>System Engineering Manager</p><p>Job Description</p><p><br></p><p><br></p><p>4. Operating Systems: Microsoft Windows, Unix (opt.), Linux (opt.), OpenVMS (opt.).</p><p><br></p><p>5. Fluent understanding of electrical/electronic schematics and interconnection diagrams.</p><p><br></p><p>6. Industry Experience: Utility Power, Municipal, Coop., IOU (Investor Owned), Transportation PLC (Programmable Logic Controllers), SCADA (Supervisory Control and Data Acquisition), DCS (Distributed Control Systems).</p><p><br></p><p>7. PLC (Programmable Logic Controller) knowledge.</p><p><br></p><p>8. Software Programming knowledge (C, C++), languages, source control, release, distribution, etc.</p><p><br></p><p>9. Database Server: Access, SQL (must), Oracle (opt.).</p><p><br></p><p>10. Programming Experience: some, does not need to be proficient.</p><p><br></p><p>DUTIES & RESPONSIBILITIES</p><p><br></p><p>1. Oversee the SCADA System design consisting of various QEI components (hardware & software)Read and Understand technical specifications. Apply specification to system design, quotations and proposals.</p><p><br></p><p>2. Oversee the design and development of new hardware and software (embedded & workstation) products.</p><p><br></p><p>3. Participate in the integration, loading, configuration and testing of SCADA, networking and communication hardware and software.</p><p><br></p><p>4. Periodically travel to the field to startup and troubleshoot systems/equipment.</p><p><br></p><p>5. Manage Application documentation (User Manuals) that they are current with most recent software releases.</p>
We are looking for an experienced Applications Architect to take ownership of our Workday platform in Malvern, Pennsylvania. In this role, you will focus on optimizing system functionality, improving workflows, and driving strategic enhancements to align with organizational needs. This position requires strong collaboration with cross-functional teams to ensure seamless integration, data integrity, and compliance.<br><br>Responsibilities:<br>• Serve as the primary administrator and product owner for the Workday platform, managing functionality, updates, and strategic enhancements.<br>• Evaluate current system processes and recommend improvements to optimize efficiency and streamline operations.<br>• Oversee system configurations, updates, and change management activities to ensure smooth execution of projects.<br>• Collaborate with Finance and IT teams to support daily operations and system integrations.<br>• Lead initiatives across the Workday lifecycle, including design, testing, deployment, training, and post-launch support.<br>• Ensure accurate and timely delivery of data by performing regular audits and validations to maintain system integrity.<br>• Partner with compliance teams to enforce audit procedures and maintain adherence to regulations.<br>• Develop custom reports in collaboration with analytics teams to provide insights into workforce trends and support decision-making.<br>• Implement automation and AI-driven solutions to reduce manual effort and enhance operational efficiency.<br>• Safeguard data across HR systems by enforcing proper segregation of duties and maintaining security protocols.
We are looking for an experienced Data/ETL Engineer to join our team in Malvern, Pennsylvania. This role involves designing and implementing robust data pipelines to support business needs, while also contributing to AI-driven strategies through data preparation and insights. The ideal candidate will have strong expertise in data engineering, ETL processes, and machine learning models.<br><br>Responsibilities:<br>• Develop scalable ETL processes to extract, transform, and load data from diverse sources into a centralized data warehouse.<br>• Troubleshoot and resolve system and data-related errors to maintain data quality and integrity.<br>• Collaborate with stakeholders to translate business requirements into efficient data solutions.<br>• Clean, transform, and prepare large datasets for machine learning applications, addressing issues such as missing values and inconsistencies.<br>• Apply feature engineering techniques, including data scaling, normalization, and encoding, to optimize dataset usability.<br>• Design and deploy machine learning models, integrating AI solutions into existing systems.<br>• Perform model evaluation, hyperparameter tuning, and cross-validation to ensure optimal performance.<br>• Utilize Python and relevant libraries such as Pandas, NumPy, and TensorFlow to implement data processing workflows.<br>• Work within Agile teams to review user stories, estimate tasks, and contribute to sprint deliverables.<br>• Leverage cloud-based resources, including serverless tools like AWS Lambda and S3, to enhance data engineering processes.
