Role: Lead - Software Engineer (.NET Technology) Experience: 7+ years Location: Noida (Work from Office) Preferred Skills: - Must have knowledge in .NET, Rest/Web API, SQL Server - Should know the Software Development life cycle - Should be clear in OOPS as well as design principal - Should have knowledge of working with GitHub, Tortoise Git - Should have knowledge on Azure Platforms - Good have .NET Core and Microservices Role and Responsibilities: - Determining project requirements and developing work schedules for the team. - Delegating tasks and achieving daily, weekly, and monthly goals. - Liaising with team members, management, and clients to ensure projects are completed to standard. - Identifying risks and forming contingency plans as soon as possible. - Analyzing existing operations and scheduling training sessions and meetings to discuss improvements. - Keeping up to date with industry trends and developments. - Updating work schedules and performing troubleshooting as required. - Motivating staff and creating a space where they can ask questions and voice their concerns. - Being transparent with the team about challenges, failures, and successes. - Writing progress reports and delivering presentations to the relevant stakeholders. Show more Show less

Job Description: Manager - Operations (Night Shift) Job Summary: We are seeking a skilled and proactive Manager - Operations to lead and manage night shift operations for a team working on pre-processing tasks, including model validation, user acceptance testing (UAT), and other ad hoc tasks critical to AI workflows. The role involves managing 6-7 Team Leaders, ensuring operational excellence, and collaborating closely with the Cross-functional team to align with organizational and compliance standards. Key Responsibilities: Team Leadership: · Manage, guide and mentor 6-7 Team Leaders to ensure their teams deliver high-quality results in model validation, UAT, and ad hoc pre-processing tasks. · Conduct performance reviews for Team Leaders and ensure they effectively manage their respective teams. · Foster a collaborative and productive environment to achieve operational objectives. Operational Management: · Oversee the night shift pre-processing workflows, including model validation, UAT, and any adhoc requests. · Ensure tasks are allocated effectively, monitored for progress, and completed within established timelines. · Address and resolve operational challenges in real-time to maintain workflow continuity. · OKRs and Performance Monitoring: Need to track the progress towards OKRs and take corrective action to meet or exceed targets. Communicate OKR updates to senior management and provide actionable insights. · Monthly Model Performance Reporting: Prepare monthly model performance reports and share with senior management. · HC Utilization Reporting: Monitor and track headcount utilization, ensuring resources are optimally allocated to tasks. Analyze productivity data to identify overstaffing or understaffing issues and propose solutions. Provide detailed HC utilization reports to senior management monthly. Model Validation and UAT Oversight: · Ensure teams follow proper protocols for validating AI/ML models and conducting user acceptance testing. · Review and ensure the accuracy of validation and testing reports generated by the team. · Identify gaps or anomalies in the process and implement corrective measures. Stakeholder and Customer Management: · Act as the primary liaison with the Internal/External Customers during the night shift, providing timely updates and addressing related concerns. · Align operations with compliance standards and protocols to ensure data integrity and accuracy. · Escalate critical issues to relevant stakeholders promptly and provide resolution plans. Performance Monitoring and Reporting: · Track key performance indicators (KPIs) related to task completion, quality, and team productivity. · Prepare and deliver detailed shift performance reports to senior management and the internal Customer team. · Use insights from reports to implement continuous process improvements. Process Improvement: · Identify inefficiencies in workflows and suggest enhancements to improve speed, quality, and resource utilization. · Collaborate with other teams to implement best practices for pre-processing tasks related to model validation and UAT. Compliance and Quality Assurance: · Conduct regular audits of pre-processing tasks to ensure adherence to company standards and compliance requirements. · Maintain high-quality standards in all deliverables and ensure error-free outputs. Team Development: · Organize training sessions to enhance the team's skills in model validation, UAT, and pre-processing techniques. · Stay updated on advancements in AI/ML workflows and integrate relevant tools and knowledge into the team’s processes. Required Skills and Qualifications: · Bachelor’s degree in Computer Science, Data Science, Operations Management, or related fields. · 8+ years of experience in operations management, with at least 4 years of managing team leaders or supervisors. · Proven experience in managing Team Leaders and overseeing operational teams. · Strong analytical skills with a deep understanding of validation and testing workflows. · Excellent leadership, communication, and decision-making skills. · Proficiency in tools used for validation, UAT, and data processing (e.g., Python, SQL, or specialized tools). Preferred Qualifications: · Bachelor’s degree in Computer Science, Data Science, Operations Management, or related fields. · Proficiency in preparing OKRs, performance reports, and HC utilization reports. · Excellent leadership, communication, and decision-making abilities. · Familiarity with UAT frameworks and governance standards. · Knowledge of process improvement methodologies such as Lean or Six Sigma. · Experience in managing night shift operations. Shift Details: · Shift Timing: Night Shift (19:00 PM to 04:00 AM IST). · Flexibility to address urgent tasks or project escalations during off-hours. Show more Show less

Position Overview: We are seeking a highly skilled and experienced Senior Microsoft SQL Database Developer to join our team. The ideal candidate will be responsible for designing, developing, and maintaining complex Microsoft SQL databases, ensuring their efficiency, security, and scalability. This position requires deep expertise in Microsoft SQL development, performance tuning, database design, and optimization, along with a solid understanding of database architecture and troubleshooting. The Senior Microsoft SQL Database Developer will work closely with cross-functional teams to ensure the successful delivery of high-quality data solutions. Key Responsibilities: Database Development & Design: Develop and maintain complex SQL queries, stored procedures, triggers, function and views. Design, implement, and optimize relational database schemas. Create and maintain database objects (tables, indexes, views, etc.) ensuring data integrity and optimization. Performance Tuning & Optimization: Analyse query performance and optimize SQL statements for maximum efficiency. Use indexing, partitioning, and other techniques to improve database performance. Monitor and resolve database performance issues using profiling tools and techniques. Data Integration & Migration: Lead data integration efforts between multiple data sources, ensuring accurate data flow and consistency. Support data migration projects, converting and importing data between systems. Collaboration & Communication: Work closely with application developers, data architects, business analysts, and other stakeholders to deliver database solutions. Provide technical guidance and mentoring to junior developers. Participate in code reviews, ensuring SQL best practices are followed and adhered to. Troubleshooting & Issue Resolution: Identify and resolve complex database issues related to performance, functionality, and data integrity. Provide support for production database environments and resolve urgent database issues quickly. Documentation & Reporting: Document database structures, processes, and procedures to ensure consistency and compliance with internal standards. Provide status reports, performance insights, and recommendations to management. Key Qualifications: Education: Bachelor’s degree in computer science, Information Technology, or a related field (or equivalent work experience). Experience: Minimum of 5-7 years of experience in SQL development and database management. Proven experience working with large-scale SQL databases (Microsoft SQL Server, Azure SQL Server). Skills & Expertise: Strong proficiency in SQL, including complex queries, joins, subqueries, indexing, and optimization. Experience with SQL Server, T-SQL, or other relational database management systems. Expertise in database performance tuning, troubleshooting, and query optimization. Strong knowledge of database security best practices (user roles, encryption, etc.). Familiarity with cloud databases and technologies (e.g., Azure SQL, etc.) is a plus. Experience with data integration and ETL processes. Familiarity with version control tools such as Git. Soft Skills: Strong analytical and problem-solving abilities. Ability to work independently and as part of a team. Excellent communication skills, both written and verbal. Strong attention to detail and ability to handle complex tasks with minimal supervision. Preferred Skills: Experience with AZURE SQL Server, SQL Server. Knowledge of database monitoring tools (e.g., SQL Profiler, New Relic, SolarWinds). Familiarity with DevOps practices and CI/CD pipelines related to database development. Experience in agile or scrum development environments. Working Conditions: Full-time position with flexible work hours. Only Work from Office available. Occasional on-call support for production database systems may be required. Why Join Us? Competitive salary and benefits package. Opportunities for career growth and professional development. A dynamic, collaborative, and innovative work environment. Exposure to cutting-edge database technologies and large-scale systems. Show more Show less

Role And Responsibilities Determining project requirements and developing work schedules for the team. Delegating tasks and achieving daily, weekly, and monthly goals. Liaising with team members, management, and clients to ensure projects are completed to standard. Identifying risks and forming contingency plans as soon as possible. Analyzing existing operations and scheduling training sessions and meetings to discuss improvements. Keeping up to date with industry trends and developments. Updating work schedules and performing troubleshooting as required. Motivating staff and creating a space where they can ask questions and voice their concerns. Being transparent with the team about challenges, failures, and successes. Writing progress reports and delivering presentations to the relevant stakeholders. Preferred Skills Must have knowledge in .Net, Rest/Web API, SQL Server Should know the Software Development life cycle Should be clear in OOPS as well as design principal Should have knowledge of working with GitHub, Tortoise Git Should have knowledge on Azure Platforms (ref:hirist.tech)

Job Title: Manager, Master Data We are seeking a highly organized and detail-oriented Manager to join our team. In this role, person will be responsible for managing the accuracy, consistency, and integrity of all product-related data across our systems. He/She will work closely with his/her leader, team of master data analysts, and with a wide variety of stakeholders, to ensure seamless integration of product information. He/She will be responsible for the development of master data processes to synchronize critical data from different systems throughout the organization. This role will identify data quality metrics, to monitor, track, and report, ongoing data quality levels. Roles and Responsibilities: Product Data Management: Oversee the creation, maintenance, and updating of product data within the Master Data Management (MDM) system and other internal tools. Own the master data management tool providing guidance and training. Data Accuracy: Ensure that product data, including attributes, classifications, and specifications, are accurate, up-to-date, and consistent across all Clients. Understand matching strategies, and standardization of Customer golden records. Cross-Department Collaboration: Work closely with different stakeholders, to gather necessary information and resolve any data discrepancies or issues. Data Governance: Ensure that data governance best practices are adhered to, including data standardization, categorization, and data quality controls. Product Lifecycle Management: Support product lifecycle activities by ensuring proper tracking of new product introductions (NPIs), end-of-life products, and product changes. Reporting and Analysis: Generate reports and conduct analysis on product data trends, performance, and integrity. Provide insights to improve data quality and efficiency. Training and Support: Provide training and support to internal teams on product data management processes, tools, and best practices. Initial efforts will focus on identifying and preparing key master data processes. Responsible for the design, development, and documentation, of the MDM procedures. Job Requirements: Education: Bachelor’s degree in computer science or equivalent experience with data management and analytics. Experience: A minimum of 8 years of experience in executing master data management activities, including the use of tools such as Microsoft MDM, Alteryx, Parabola, or any other equivalent data standardization tool. Experience in the CPG industry experience would be an added advantage. Functional/Technical Knowledge, Skills & Abilities: · Strong understanding of product data structures and classifications · Excellent attention to detail and ability to ensure data accuracy · Proficiency in Microsoft Excel and other data standardization tools · Experience with ETL tools and other Product Information management (PIM) tools SQL understanding Independent decision-making and troubleshooting skills Expertise in documenting data definitions Creative thinker who is comfortable learning new processes and ways of working Global work experience

We are looking for a highly organized and detail-oriented Manager to join our team. In this role, you will be responsible for managing the accuracy, consistency, and integrity of all product-related data across our systems. You will work closely with your leader, a team of master data analysts, and various stakeholders to ensure seamless integration of product information. Your primary responsibility will be to develop master data processes to synchronize critical data from different systems throughout the organization. You will also identify data quality metrics to monitor, track, and report ongoing data quality levels. Responsibilities include overseeing the creation, maintenance, and updating of product data within the Master Data Management (MDM) system and other internal tools. You will be the owner of the master data management tool, providing guidance and training. Ensuring data accuracy, including attributes, classifications, and specifications, is a key aspect of the role. Collaborating with different stakeholders to resolve data discrepancies and issues is also a crucial part of your responsibilities. You will be expected to adhere to data governance best practices, including data standardization, categorization, and data quality controls. Supporting product lifecycle activities by tracking new product introductions, end-of-life products, and product changes is also part of your role. Generating reports, conducting analysis on product data trends and integrity, and providing insights to improve data quality and efficiency are essential tasks. Additionally, you will provide training and support to internal teams on product data management processes, tools, and best practices. Requirements: - Education: Bachelor's degree in computer science or equivalent experience with data management and analytics. - Experience: Minimum of 8 years of experience in executing master data management activities, including the use of tools such as Microsoft MDM, Alteryx, Parabola, or any other equivalent data standardization tool. Experience in the CPG industry would be advantageous. Skills and Abilities: - Strong understanding of product data structures and classifications - Excellent attention to detail and ability to ensure data accuracy - Proficiency in Microsoft Excel and other data standardization tools - Experience with ETL tools and other Product Information Management (PIM) tools - SQL understanding - Independent decision-making and troubleshooting skills - Expertise in documenting data definitions - Creative thinker comfortable learning new processes - Global work experience,