3 Workspace Configuration Jobs

You are a highly skilled Lead ServiceNow Developer sought after to support the Risk and Compliance team. You should possess extensive experience in ServiceNow development, especially with the IRM module. Your main responsibility will be to lead the development and implementation of solutions that enhance risk and compliance processes. This role demands strong technical expertise, leadership qualities, a deep understanding of risk management principles, and a proven track record of working on multiple products, particularly those utilizing AI technologies. To qualify for this role, you must hold a Bachelor's degree in Computer Science, Information Technology, or a related field. It is essential to have at least 7 years of experience in ServiceNow development, with a specific focus on the IRM module. Proficiency in ServiceNow platform capabilities, such as scripting, workflows, and integrations, is required. Experience with ServiceNow ITSM and ITOM modules will be an added advantage. Strong problem-solving skills are a must-have, along with the ability to thrive in a fast-paced environment. As a Lead SNOW Developer, your duties will include leading the development of ServiceNow IRM solutions in alignment with business requirements and best practices. You will be overseeing the development team, providing guidance, mentorship, and support to junior developers. Code reviews, troubleshooting complex technical issues, and ensuring adherence to coding standards are also part of your responsibilities. Keeping abreast of ServiceNow updates and enhancements, recommending process improvements, and collaborating effectively with IT and business teams for successful solution implementation are key aspects of this role. Your technical expertise should encompass ServiceNow IRM, GRC, scripting, UI policies, Flows, and Workspace configuration. Experience with APIs and integration, especially with REST APIs, JSON, and ServiceNow Spokes, is necessary. Proven experience in implementing complex ServiceNow solutions, excellent communication skills, and the ability to lead teams and mentor junior developers are essential. A good understanding of Operational Risk and Compliance Management processes and the ability to interact effectively with technical and non-technical colleagues are expected. You should possess strong problem-solving skills, customer service focus, detailed issue documentation capabilities, process documentation skills, and effective time management abilities. Holding a ServiceNow Certified Implementation Specialist or equivalent certification is advantageous. Additionally, qualifications like a Bachelor's degree in Computer Science, Management Information Systems, and certifications in UI/UX (VueJS/Angular/React JS) are desired for this role. In summary, we are seeking a Lead ServiceNow Developer with a comprehensive skill set, strong leadership qualities, and a proven track record in ServiceNow development, particularly with the IRM module. Your ability to drive the development of innovative solutions, mentor junior developers, and collaborate effectively with cross-functional teams will be instrumental in enhancing our risk and compliance processes.,

Role & responsibilities Hands on experience as power bi Architect. Hands on Power bi. Hands on DAX and Data Modelling. Performance optimization is must we are looking. Capacity management and workspace configuration is must. Excellent in communications. Good to have external tools like DAX Studio, Tabular editor, ALM Toolkit. Good to have git integration in Power bi, Power bi embedded analytics. Preferred candidate profile 10 + years experience in power bi and atleast 2+ years of experience in architect role. Team handling and also individual role. who can join Immediate to 10 days Interested candidate can share there resume to saimanoj.kumar@valuelabs.com

As a Lead Databricks Data Platform Engineer, you will play a critical role in designing, scaling, and governing our unified Databricks environment within the Drug Innovation Platform. You will partner closely with product, engineering, and data science teams to enable reusable patterns, optimize performance, and ensure robust architecture and operations that align with our DSE@DBX vision. This role requires a hands-on technical leader who brings deep Databricks expertise, extensive experience designing large-scale lakehouse architectures, and a collaborative mindset to connect siloed initiatives into a cohesive, shared platform. Key Responsibilities : Lead the end-to-end design, architecture, and engineering of our Databricks platform at scale, ensuring best practices in data management, security, governance, and cost optimization. Act as a subject matter expert and trusted advisor for all Databricks engineering topics from cluster management, pipelines, and Delta Lake patterns to ML workloads and performance tuning. Partner with domain teams to onboard new use cases onto the unified platform, ensuring they follow standard patterns and benefit from reusable assets. Build, document, and evangelize reusable templates, guardrails, and reference architectures to streamline new product onboarding and reduce silos. Provide hands-on technical guidance and mentorship to data engineers and analysts working within the Databricks ecosystem. Collaborate with AWS cloud engineers and architects to optimize integrations, networking, and data flows between Databricks and other key cloud services. Drive continuous improvement around platform reliability, cost efficiency, and performance by implementing robust monitoring and automation. Stay current with the latest Databricks capabilities and certifications; lead POCs to evaluate and adopt relevant new features for the organization. Contribute to the development and sharing of internal Databricks best practices, training materials, and community-of-practice sessions. Engage with stakeholders across data science, product, and platform teams to align the Databricks roadmap with broader DSE@DBX goals. Key Skills & Qualifications Minimum 5 years of hands-on experience architecting, engineering, and operating Databricks platforms at enterprise scale. Multiple relevant Databricks certifications ideally including Databricks Certified Data Engineer Professional, Databricks Certified Machine Learning Professional, and Databricks Certified Solutions Architect. Deep expertise in Databricks components, including Unity Catalog, Delta Lake, DBSQL, Spark optimizations, cluster management, and CI/CD for pipelines. Strong understanding of AWS cloud architecture, networking, IAM, storage integrations (e.g., S3, Glue, Lake Formation), and security best practices. Experience defining and implementing data governance, lineage, and compliance frameworks within Databricks. Proven track record of leading platform initiatives and collaborating with cross-functional teams in a complex, regulated environment. Excellent communication and documentation skills — able to translate technical details into reusable guidance for a broad audience. Self-starter with a mindset for platform thinking, reuse, and community enablement.