You will be working as a full-time on-site Workday Financial Consultant at Zeero, situated in the Greater Bengaluru Area. Your primary responsibilities will include handling financial planning, investments, finance, analytical skills, and retirement planning on a daily basis. To excel in this role, you must possess expertise in financial planning, investments, and finance, along with strong analytical skills. Additionally, experience in retirement planning, certification as a Workday Financial Consultant, and a background in implementing Workday Financial systems are essential qualifications. Your problem-solving abilities and communication skills will play a crucial role in your success in this position. Ideally, you should hold a Bachelor's degree in Finance, Accounting, or a related field to be well-prepared for the challenges and opportunities that this role offers. Join Zeero and be part of a platform that connects organizations with top-tier tech talent, ensuring high-impact solutions through a network of globally vetted professionals and diverse, inclusive teams.,
Technical Lead - Data Automation, Power BI & ML Solutions We are seeking an experienced Technical Lead to drive data automation, business intelligence, and machine learning initiatives for our US Healthcare RCM practice. This role requires strong technical expertise in Power BI, data engineering, ML/AI solutions, and proven leadership in delivering complex analytics projects. You will lead a team of data engineers, BI developers, and data scientists while maintaining hands-on involvement in architecture, design, and delivery. Location: Kothanur, Bengaluru, India Experience Required: 10-14 Years Employment Type: Full-time Reports To: Program Manager Team Size: 8-15 members (Data Engineers, BI Developers, ML Engineers) Core Skills: Python, SQL, & ETL Automation; Secondary Skills: Power BI/Tableau; Domain: US Healthcare Revenue Cycle Management KEY RESPONSIBILITIES Technical Leadership & Architecture (40%) Lead end-to-end technical architecture for data automation, BI, and ML projects in US Healthcare RCM domain Design and implement scalable data automation frameworks using Python, SQL, and cloud platforms Architect enterprise Power BI solutions including data models, semantic layers, and governance frameworks Define ML/AI solution architecture for revenue forecasting, and RCM optimization use cases Establish technical standards and best practices for data engineering, ETL/ELT, BI development, and ML pipelines Review and approve technical designs, data models, and code from team members Drive automation-first approach across all data workflows and reporting processes Team Leadership & Delivery Management (30%) Lead and mentor a team of 8-15 data engineers, BI developers, and ML engineers Conduct sprint planning, task allocation, and workload balancing across team members Perform code reviews, architecture reviews, and ensure adherence to coding standards Drive Agile/Scrum ceremonies: daily standups, sprint planning, retrospectives Manage technical delivery timelines, milestones, and dependencies Identify and mitigate technical risks proactively Client Stakeholder Management (20%) Lead as primary technical point of contact for clients to drive requirement gathering workshops and translate business needs into technical solutions Present technical architectures, demos, and solutions to client stakeholders and leadership Conduct weekly/bi-weekly status meetings with client technical and business teams Manage client expectations regarding timelines, scope, and technical feasibility Handle technical escalations and change request management Hands-On Technical Contributions (10%) Develop complex Power BI solutions: advanced DAX, data modeling, optimization Build critical data pipelines and automation frameworks Implement ML models for production deployment Create technical documentation: architecture diagrams, design documents, runbooks Participate in troubleshooting and performance optimization for critical systems Develop reusable frameworks and accelerators for team use EDUCATIONAL QUALIFICATIONS Required Master's degree in Computer Science, Information Technology, Engineering, Data Science, or related technical field OR equivalent practical experience (10-14 years in technical roles)
Role Overview: You are an experienced and motivated FPGA Verification Team Lead joining the hardware engineering team. Your main responsibility will be to plan and build a UVM SV environment and lead a team of verification engineers to ensure the functional verification of a full FPGA design. Key Responsibilities: - Lead and mentor FPGA verification engineers - Plan and implement verification plans, strategies, and methodologies - Work closely with FPGA designers and system architects - Develop and maintain verification environments and agents using System Verilog UVM methodologies - Monitor and report verification progress, coverage metrics, and quality indicators - Support regression testing, bug tracking, and issue resolution during the development cycle - Track verification progress using Agile tools (e.g., Jira, Azure DevOps) and provide regular status updates and metrics Qualifications Required: - Bachelors degree in electrical engineering, Computer Engineering or Computer Science - 10+ years of experience in FPGA or ASIC verification, with at least 2 years in a leadership or team lead role - Strong hands-on experience in writing System-verilog UVM agents and full UVM environments from scratch - Strong hands-on experience in writing verification plans and coverage plans - Solid understanding of FPGA architecture and RTL design - Familiarity with version control systems (e.g., Git) and issue tracking tools (e.g., Jira) - Excellent leadership, communication, and organizational skills - Strong experience with simulation tools such as Xcelium, Questasim or VCS - Strong debug capabilities Additional Details: Omit this section as no additional details of the company are present in the job description.,