2637 Data Governance Jobs - Page 36

About Position: Persistent is scaling up its global Digital Trust practice. Digital Trust encompasses the domains of Data Privacy, Responsible AI (RAI), GRC (Governance, Risk & Compliance), and other related areas. This is a rapidly evolving domain globally that is at the intersection of technology, law, ethics, and compliance. Team members of this practice get an opportunity to work on innovative and cutting-edge solutions. As a Digital Trust Consultant, you will independently manage client projects in Digital Trust including assess, design, implement, manage, test, monitor and audit Digital Trust programs across multiple industries. Role: Digital Trust Consultant Location: All PSL Location Experience: 3-8 Years Job Type: Full Time Employment What Youll Do: Project Ownership and Delivery Lead the end-to-end execution of one or more projects in the Digital Trust domain. Assist in conducting Impact/Gap Assessments vis-a-vis global and local Digital Trust related regulations or standards (e.g. GDPR, DPDPA, CCPA, EU AI Act, ISO 42001, NIST Standards, etc.) or as per Client Policies. Risk Identification, Mitigation and monitoring of Privacy, AI and compliance related risks Work on policies and procedures (e.g., privacy notice, cookie policy, Model documentation, Data Provenance, AI usage guidelines, data retention policy, etc), impact assessments (e.g. Data Protection Impact Assessments (DPIA), AI Impact Assessments (AIIA)), Privacy by Design (PbD), Bias/Fairness evaluations of AI models and other related aspects that are integral to digital trust programs. Map data flows, prepare Records of Processing Activities, and support consent and preference management activities. Participate in and support delivery of vendor risk assessments, third-party due diligence, and automated assessment processes. Understand Client Technology & Cloud Platforms, Databases Systems, AI systems & other applications and translate policy/process level controls and/or compliance requirements to specific, ground-level controls. Utilize internal and client-specific tools such as: Privacy Management Platforms (OneTrust, TrustArc, Securiti.ai, etc.) Responsible AI Tools (e.g., Model monitoring platforms, fairness checkers, data lineage tools) GRC Tools (e.g., Archer, LogicGate) Review and support in customizing and improving internal assessment templates, frameworks, and reporting dashboards. Engage with internal and client stakeholders across legal, IT, product engineering and applicable business & functional teams. Capture stakeholder requirements and translate them into technical and/or policy/process controls & requirements. Lead the planning and delivery of client workshops, trainings, and review meetings. Help track stakeholder action items and maintain transparent communication with project leads. Team Contribution & Mentoring Mentor and review work done by Junior Consultants in the project team. Support knowledge transfer, share updates from your research, and contribute to internal wikis/templates. Practice Development Contribute to the development of accelerators and artefacts Participate in proposal drafting, PoCs, and responding to client RFPs Expertise Youll Bring: Bachelors Degree in Engineering, Computer Science, Information Technology, Law, Business, or related fields. Candidates with a Postgraduate Degree / Diploma in Data Privacy, Cybersecurity, Law, or AI Ethics are preferred. IAPP Certifications CIPP/E, CIPP/US, CIPM, CIPT, AIGP ISACA / (ISC) Certifications CDPSE, CISA, ISO/IEC 27001 or ISO/IEC 42001 implementation Strong attention to detail, logical structuring, and analytical thinking Ability to grasp new concepts quickly and keep up with developments in the field proactively without expectations of being taught Ability to understand technical aspects in depth Good verbal and written communication skills, especially for report writing and presentations Demonstrated interest in privacy, ethics, compliance, and Responsible AI Ability to handle multiple projects and prioritize tasks under supervision High level of professionalism, discretion, and integrity Ability to handle multiple projects and prioritize tasks under supervision Benefits : Competitive salary and benefits package Culture focused on talent development with quarterly promotion cycles and company-sponsored higher education and certifications Opportunity to work with cutting-edge technologies Employee engagement initiatives such as project parties, flexible work hours, and Long Service awards Annual health check-ups Insurance coverage: group term life, personal accident, and Mediclaim hospitalization for self, spouse, two children, and parents Inclusive Environment: Persistent Ltd. is dedicated to fostering diversity and inclusion in the workplace. We invite applications from all qualified individuals, including those with disabilities, and regardless of gender or gender preference. We welcome diverse candidates from all backgrounds. We offer hybrid work options and flexible working hours to accommodate various needs and preferences. Our office is equipped with accessible facilities, including adjustable workstations, ergonomic chairs, and assistive technologies to support employees with physical disabilities. If you are a person with disabilities and have specific requirements, please inform us during the application process or at any time during your employment. We are committed to creating an inclusive environment where all employees can thrive. Our company fosters a values-driven and people-centric work environment that enables our employees to: Accelerate growth, both professionally and personally Impact the world in powerful, positive ways, using the latest technologies Enjoy collaborative innovation, with diversity and work-life wellbeing at the core Unlock global opportunities to work and learn with the industry's best Let's unleash your full potential at Persistent " Persistent is an Equal Opportunity Employer and prohibits discrimination and harassment of any kind. "

Role: Data Governance (Collibra) Specialist Location: Bangalore (Hybrid model) Shift: 02:30 - 10:30 AM Skills Required: 5+ Years Microsoft Certified: Power BI Data Analyst Associate 3 years Collibra experience *************************************************** IMMEDIATE JOINERS REQUIRED Send your updated CV directly to: 9152808909 **************************************************** Position Summary: We are seeking to hire a Data Governance Specialist with Collibra expertise. This role involves implementing our data governance methodology, including identifying and prioritizing data elements in GBS systems, documenting business definitions, technical metadata and lineage, and defining and implementing data governance policies, standards, and processes. The Data Governance Specialist will load metadata into Collibra and use the tool to maintain the data catalog and perform data governance. They will serve as a mentor to team members and other stakeholders on the use of Collibra to put in practice data governance best practices. This role will also support profiling data to identify data quality issues and performing root cause analysis. ESSENTIAL RESPONSIBILITIES: Analyze large datasets using Collibra, SQL, and other technologies to identify, describe, and profile data. Load business and technical metadata, definitions, and lineage in Collibra and manage the data catalog. Guide data owners, stewards, and custodians in the use of Collibra and application of data governance practices. Support data quality efforts by profiling source data, defining data quality rules, and performing root cause analysis. Compliance & Security: Ensure compliance with data privacy regulations and maintain data security protocols. Implement best practices for data handling, storage, and sharing to protect sensitive information. Collaboration with Cross-Functional Teams: Work closely with business analysts, data engineers, and other stakeholders to understand requirements and deliver solutions EDUCATION AND EXPERIENCE Minimum Required Degree: Bachelor's degree Preferred Degree: Degree in Computers/Maths/Stats. Microsoft Certified: Power BI Data Analyst Associate KNOWLEDGE, SKILLS AND ABILITY: At least 3 years Collibra experience Proficiency in SQL, and data analysis and profiling tools Strong understanding of data analysis and data quality principles Familiarity with data governance, data privacy, and security best practices Experience with foundational source systems and metadata management Ability to document technical attributes, business descriptions, and data lineage Agile delivery, including user story grooming and sprint planning, development, and user acceptance. Excellent communication and collaboration skills to engage with the team and stakeholders Ability to stay updated with the latest industry trends and technologies

About Position: Persistent is scaling up its global Digital Trust practice. Digital Trust encompasses the domains of Data Privacy, Responsible AI, GRC (Governance, Risk & Compliance), and other related areas. This is a rapidly evolving domain globally that is at the intersection of technology, law, ethics, and compliance. Team members of this practice get an opportunity to work on innovative and cutting-edge solutions.As an Digital Trust Junior Consultant , you will support client consulting engagements in Digital Trust. You will work alongside senior team members to assess, design, implement, manage, test, monitor and audit Digital Trust programs across multiple industries. Role: Digital Trust Junior Consultant Location: All PSL Location Experience: 1-3 years Job Type: Full Time Employment What youll Do: Client Delivery & Advisory Support Assist in conducting gap assessments vis-a-vis global and local Digital Trust related regulations (e.g ., GDPR, DPDPA, CCPA, EU AI Act, ISO 42001, NIST Standards, etc). Work on policies and procedures (e.g., privacy notice, cookie policy, AI usage guidelines, data retention policy, etc), impact assessments (e.g. Data Protection Impact Assessments (DPIA), AI Impact Assessments (AIIA)), Privacy by Design (PbD), Bias/Fairness evaluations of AI models and other related aspects that are integral to digital trust programs. Map data flows, prepare Records of Processing Activities (RoPA), and support consent and preference management activities. Participate in and support delivery of vendor risk assessments, third-party due diligence, and automated assessment processes. Understand Client Technology & Cloud Platforms, Databases Systems, AI systems & other applications and translate policy/process level controls and/or compliance requirements to specific, ground-level controls. Utilize internal and client-specific tools such as: Privacy Management Platforms (OneTrust, TrustArc, Securiti.ai, etc.) Responsible AI Tools (e.g., Model monitoring platforms, fairness checkers, data lineage tools) GRC Tools (e.g., Archer, LogicGate) Support in customizing and improving internal assessment templates, frameworks, and reporting dashboards. Engage with internal and client stakeholders across legal, IT, product engineering and applicable business & functional teams. Capture stakeholder requirements and translate them into technical and/or policy/process controls & requirements. Support the planning and delivery of client workshops, trainings, and review meetings. Help track stakeholder action items and maintain transparent communication with project leads. Expertise Youll Bring Bachelors Degree in Engineering, Computer Science, Information Technology, Law, Business, or related fields. Candidates with a Postgraduate Degree / Diploma in Data Privacy, Cybersecurity, Law, or AI Ethics are preferred. IAPP Certifications CIPP/E, CIPP/US, CIPM, CIPT, AIGP ISACA / (ISC) Certifications CDPSE, CISA, CISSP ISO/IEC 27001 or ISO/IEC 42001 implementation Strong attention to detail, logical structuring, and analytical thinking Ability to grasp new concepts quickly and keep up with developments in the field proactively without expectations of ‘being taught’ Ability to understand technical aspects in depth Good verbal and written communication skills, especially for report writing and presentations Demonstrated interest in privacy, ethics, compliance, and Responsible AI Ability to handle multiple projects and prioritize tasks under supervision High level of professionalism, discretion, and integrity Benefits: Competitive salary and benefits package Culture focused on talent development with quarterly promotion cycles and company-sponsored higher education and certifications Opportunity to work with cutting-edge technologies Employee engagement initiatives such as project parties, flexible work hours, and Long Service awards Annual health check-ups Insurance coverage: group term life, personal accident, and Mediclaim hospitalization for self, spouse, two children, and parents Inclusive Environment: Persistent Ltd. is dedicated to fostering diversity and inclusion in the workplace. We invite applications from all qualified individuals, including those with disabilities, and regardless of gender or gender preference. We welcome diverse candidates from all backgrounds. We offer hybrid work options and flexible working hours to accommodate various needs and preferences. Our office is equipped with accessible facilities, including adjustable workstations, ergonomic chairs, and assistive technologies to support employees with physical disabilities. If you are a person with disabilities and have specific requirements, please inform us during the application process or at any time during your employment. We are committed to creating an inclusive environment where all employees can thrive. Our company fosters a values-driven and people-centric work environment that enables our employees to: Accelerate growth, both professionally and personally Impact the world in powerful, positive ways, using the latest technologies Enjoy collaborative innovation, with diversity and work-life wellbeing at the core Unlock global opportunities to work and learn with the industry’s best Let’s unleash your full potential at Persistent “Persistent is an Equal Opportunity Employer and prohibits discrimination and harassment of any kind.”

Key Responsibilities : - Own and manage all Master Data Management (MDM) activities for SAP projects, ensuring alignment with business objectives. - Develop and implement comprehensive MDM strategies and roadmaps. - Lead the design and implementation of data governance frameworks and processes. - Lead data migration and cutover activities in SAP S/4HANA projects, including Greenfield implementations, system migrations, and rollouts. - Develop and execute data migration plans, ensuring data accuracy and consistency. - Manage data cleansing, transformation, and validation processes. - Establish and implement MDM best practices and data management capabilities. - Define and enforce data management principles, policies, and lifecycle strategies. - Ensure data compliance with regulatory requirements and internal policies. - Work closely with MDM Leads and stakeholders to drive data governance initiatives. - Develop and implement data quality metrics and reporting mechanisms. - Monitor data quality and identify areas for improvement. - Implement data quality controls and validation rules. - Track and manage MDM objects, ensuring timely delivery and adherence to project timelines. - Participate in daily stand-ups, issue tracking, and dashboard updates. - Collaborate with cross-functional teams, including functional consultants, developers, and business stakeholders. - Identify risks and process improvements for MDM. - Conduct training sessions for teams on S/4HANA MDM best practices and processes. - Develop and maintain training materials and documentation. Required Skills & Qualifications : - 7-10 years of experience in SAP Master Data Management (MDM). - Strong knowledge of SAP S/4HANA, Data Migration, and Rollouts. - Expertise in data governance, lifecycle management, and compliance. - Experience in defining data management principles, policies, and lifecycle strategies. - Ability to monitor data quality with consistent metrics and reporting. - Familiarity with KANBAN boards, ticketing tools, and dashboards. - Strong problem-solving and communication skills. - Ability to track and manage MDM objects, ensuring timely delivery. Preferred Skills : - Experience in training teams on MDM best practices. Automation & Productivity Tools : - Knowledge of automation and productivity improvement tools. - Familiarity with ABAP and SQL. - Experience with SAP Data Services or other data migration tools.

Key Responsibilities : - Own and manage all Master Data Management (MDM) activities for SAP projects, ensuring alignment with business objectives. - Develop and implement comprehensive MDM strategies and roadmaps. - Lead the design and implementation of data governance frameworks and processes. - Lead data migration and cutover activities in SAP S/4HANA projects, including Greenfield implementations, system migrations, and rollouts. - Develop and execute data migration plans, ensuring data accuracy and consistency. - Manage data cleansing, transformation, and validation processes. - Establish and implement MDM best practices and data management capabilities. - Define and enforce data management principles, policies, and lifecycle strategies. - Ensure data compliance with regulatory requirements and internal policies. - Work closely with MDM Leads and stakeholders to drive data governance initiatives. - Develop and implement data quality metrics and reporting mechanisms. - Monitor data quality and identify areas for improvement. - Implement data quality controls and validation rules. - Track and manage MDM objects, ensuring timely delivery and adherence to project timelines. - Participate in daily stand-ups, issue tracking, and dashboard updates. - Collaborate with cross-functional teams, including functional consultants, developers, and business stakeholders. - Identify risks and process improvements for MDM. - Conduct training sessions for teams on S/4HANA MDM best practices and processes. - Develop and maintain training materials and documentation. Required Skills & Qualifications : - 7-10 years of experience in SAP Master Data Management (MDM). - Strong knowledge of SAP S/4HANA, Data Migration, and Rollouts. - Expertise in data governance, lifecycle management, and compliance. - Experience in defining data management principles, policies, and lifecycle strategies. - Ability to monitor data quality with consistent metrics and reporting. - Familiarity with KANBAN boards, ticketing tools, and dashboards. - Strong problem-solving and communication skills. - Ability to track and manage MDM objects, ensuring timely delivery. Preferred Skills : - Experience in training teams on MDM best practices. Automation & Productivity Tools : - Knowledge of automation and productivity improvement tools. - Familiarity with ABAP and SQL. - Experience with SAP Data Services or other data migration tools.

Key Responsibilities : - Own and manage all Master Data Management (MDM) activities for SAP projects, ensuring alignment with business objectives. - Develop and implement comprehensive MDM strategies and roadmaps. - Lead the design and implementation of data governance frameworks and processes. - Lead data migration and cutover activities in SAP S/4HANA projects, including Greenfield implementations, system migrations, and rollouts. - Develop and execute data migration plans, ensuring data accuracy and consistency. - Manage data cleansing, transformation, and validation processes. - Establish and implement MDM best practices and data management capabilities. - Define and enforce data management principles, policies, and lifecycle strategies. - Ensure data compliance with regulatory requirements and internal policies. - Work closely with MDM Leads and stakeholders to drive data governance initiatives. - Develop and implement data quality metrics and reporting mechanisms. - Monitor data quality and identify areas for improvement. - Implement data quality controls and validation rules. - Track and manage MDM objects, ensuring timely delivery and adherence to project timelines. - Participate in daily stand-ups, issue tracking, and dashboard updates. - Collaborate with cross-functional teams, including functional consultants, developers, and business stakeholders. - Identify risks and process improvements for MDM. - Conduct training sessions for teams on S/4HANA MDM best practices and processes. - Develop and maintain training materials and documentation. Required Skills & Qualifications : - 7-10 years of experience in SAP Master Data Management (MDM). - Strong knowledge of SAP S/4HANA, Data Migration, and Rollouts. - Expertise in data governance, lifecycle management, and compliance. - Experience in defining data management principles, policies, and lifecycle strategies. - Ability to monitor data quality with consistent metrics and reporting. - Familiarity with KANBAN boards, ticketing tools, and dashboards. - Strong problem-solving and communication skills. - Ability to track and manage MDM objects, ensuring timely delivery. Preferred Skills : - Experience in training teams on MDM best practices. Automation & Productivity Tools : - Knowledge of automation and productivity improvement tools. - Familiarity with ABAP and SQL. - Experience with SAP Data Services or other data migration tools.

Key Responsibilities : - Own and manage all Master Data Management (MDM) activities for SAP projects, ensuring alignment with business objectives. - Develop and implement comprehensive MDM strategies and roadmaps. - Lead the design and implementation of data governance frameworks and processes. - Lead data migration and cutover activities in SAP S/4HANA projects, including Greenfield implementations, system migrations, and rollouts. - Develop and execute data migration plans, ensuring data accuracy and consistency. - Manage data cleansing, transformation, and validation processes. - Establish and implement MDM best practices and data management capabilities. - Define and enforce data management principles, policies, and lifecycle strategies. - Ensure data compliance with regulatory requirements and internal policies. - Work closely with MDM Leads and stakeholders to drive data governance initiatives. - Develop and implement data quality metrics and reporting mechanisms. - Monitor data quality and identify areas for improvement. - Implement data quality controls and validation rules. - Track and manage MDM objects, ensuring timely delivery and adherence to project timelines. - Participate in daily stand-ups, issue tracking, and dashboard updates. - Collaborate with cross-functional teams, including functional consultants, developers, and business stakeholders. - Identify risks and process improvements for MDM. - Conduct training sessions for teams on S/4HANA MDM best practices and processes. - Develop and maintain training materials and documentation. Required Skills & Qualifications : - 7-10 years of experience in SAP Master Data Management (MDM). - Strong knowledge of SAP S/4HANA, Data Migration, and Rollouts. - Expertise in data governance, lifecycle management, and compliance. - Experience in defining data management principles, policies, and lifecycle strategies. - Ability to monitor data quality with consistent metrics and reporting. - Familiarity with KANBAN boards, ticketing tools, and dashboards. - Strong problem-solving and communication skills. - Ability to track and manage MDM objects, ensuring timely delivery. Preferred Skills : - Experience in training teams on MDM best practices. Automation & Productivity Tools : - Knowledge of automation and productivity improvement tools. - Familiarity with ABAP and SQL. - Experience with SAP Data Services or other data migration tools.

Key Responsibilities : - Own and manage all Master Data Management (MDM) activities for SAP projects, ensuring alignment with business objectives. - Develop and implement comprehensive MDM strategies and roadmaps. - Lead the design and implementation of data governance frameworks and processes. - Lead data migration and cutover activities in SAP S/4HANA projects, including Greenfield implementations, system migrations, and rollouts. - Develop and execute data migration plans, ensuring data accuracy and consistency. - Manage data cleansing, transformation, and validation processes. - Establish and implement MDM best practices and data management capabilities. - Define and enforce data management principles, policies, and lifecycle strategies. - Ensure data compliance with regulatory requirements and internal policies. - Work closely with MDM Leads and stakeholders to drive data governance initiatives. - Develop and implement data quality metrics and reporting mechanisms. - Monitor data quality and identify areas for improvement. - Implement data quality controls and validation rules. - Track and manage MDM objects, ensuring timely delivery and adherence to project timelines. - Participate in daily stand-ups, issue tracking, and dashboard updates. - Collaborate with cross-functional teams, including functional consultants, developers, and business stakeholders. - Identify risks and process improvements for MDM. - Conduct training sessions for teams on S/4HANA MDM best practices and processes. - Develop and maintain training materials and documentation. Required Skills & Qualifications : - 7-10 years of experience in SAP Master Data Management (MDM). - Strong knowledge of SAP S/4HANA, Data Migration, and Rollouts. - Expertise in data governance, lifecycle management, and compliance. - Experience in defining data management principles, policies, and lifecycle strategies. - Ability to monitor data quality with consistent metrics and reporting. - Familiarity with KANBAN boards, ticketing tools, and dashboards. - Strong problem-solving and communication skills. - Ability to track and manage MDM objects, ensuring timely delivery. Preferred Skills : - Experience in training teams on MDM best practices. Automation & Productivity Tools : - Knowledge of automation and productivity improvement tools. - Familiarity with ABAP and SQL. - Experience with SAP Data Services or other data migration tools.

Data Quality and Governance Analyst 2 JLL/Technologies About JLL Technologies JLL Technologies is a specialized group within JLL. We deliver unparalleled digital advisory, implementation, and services solutions to organizations globally. We provide best-in-class technologies to bring digital ambitions to life aligning technology, people and processes. Our goal is to leverage technology to increase the value and liquidity of the world's buildings, while enhancing the productivity and the happiness of those that occupy them. What this job involves: About the role This role will maintain and develop the data governance and management function for the account supporting the regional context, in tight cooperation with the global structures. This role will be responsible for building a solid and long-term data governance program aimed at reducing organizational risks coming from poor quality of real estate data. This position will report to the APAC Regional Data Governance Lead, and functionally will be embedded in the Account structures. Specifically, this position will involve: Following the guidance from the broader Data Governance team, development and maintenance of the Client Account level Data Governance policies, processes, and data standards Establishment and development of Client Account data governance and management framework across service lines to ensure the consistency and integrity of the data Data profiling followed by defining and maintenance of compliance, usage, and quality metrics Oversight of Master Data Management for critical data elements - the key repository involving gatekeeping of standards, and promoting the procedures Daily business communication and relationship building with multiple stakeholders, both internal and external, to solve ongoing data issues and democratize knowledge on data, including development of mature Data Stewardship program Creation and maintenance of the Data Dictionaries Facilitating meetings with data consumers, data stewards, data producers and other stakeholders to ensure data governance rules and standards are applied to data related changes/ projects Partnering with the IT, BI and service lines counterparts to understand the business context for data management activities Identifying areas for improvement and recommending solutions regarding data quality and processes Supporting the Account in knowledge management by establishing and documenting data flows and processes Sound like you Before you apply its worth knowing what we are looking for: Required Qualifications, Skills & Experience 2+ years of data governance / data management related experience in an enterprise environment across multiple application systems and business functions Strong experience in Client Relationship Management Experience in a role of business analyst or similar Familiarity with SQL and database management processes High level of attention to detail and accuracy and ability to make effective decisions and solve problems Knowledge of data lifecycle and maintenance processes Good understanding of data quality management (processes and concepts) Knowledge of data governance and how it impacts business processes Advanced skills in MS Excel, Word, and PowerPoint required Skills Relationship management skills: excellent listening and consultative capability, the ability to influence and negotiate with business and technology partners to drive change, and the ability to take a broad perspective and make key connections Strong ownership - responsibility paired with engagement Demonstrated information management, analytics and data profiling skills. Control, compliance, audit, risk management and relevant experience in risk identification, assessment, monitoring, and remediation will be helpful. Ability to establish and maintain a high level of customer trust and confidence in the overall information and analytics space. Excellent oral, written, and presentation communication skills. Strong negotiation and group facilitation skills; ability to move a process forward, while meeting the needs of a variety of clients. Ability to work with various levels of peers including analysts, developers and executives regarding complex business and data related issues. Consulting and organization skills. Demonstrated ability to facilitate mission-critical projects. Manage task timelines and deliverable schedules, recognize and share risks and roadblocks. Collaborative, imaginative, resourceful, reliable, technically savvy. Superior ability to manage, manipulate and analyze raw data, draw conclusions, and develop actionable recommendations using technology. Articulate the issues and resolutions via business-friendly communications. Serve as primary day-to-day contact for regional data management issues. Good understanding of data quality management. Knowledge of data governance and how it impacts business processes.

Roles and Responsibilities Design and develop data models using Erwin/Data Modeling tools to meet business requirements. Collaborate with stakeholders to gather requirements and ensure data model aligns with business needs. Develop and maintain data governance policies, procedures, and standards for the organization. Provide guidance on best practices for data management and analytics initiatives. Participate in project planning, execution, and delivery of projects related to data modeling. Desired Candidate Profile 7-12 years of experience in Data Modeling or a related field (e.g., database design). Strong understanding of Erwin/Data Modeling tools (e.g., Erwin/Snowflake) and ability to apply them effectively. Experience working with large datasets and developing complex data models for various industries (BFSI preferred). Excellent communication skills with ability to work collaboratively across multiple teams. Proven track record of delivering high-quality results under tight deadlines.

Technical Architect and lead should have expertise in Azure Data Services, Databricks, ETL/ELT processes, data quality frameworks, and data governance. Skilled in data visualization using Qlik and Power BI.

Your Impact: Good Logical and Analytical skills. Clear verbal and written communication capability.Strong communication skills. Have the ability to present and explain content to team, users and stakeholder.Experience in Pre sales and sales domain would be advantage . What the role offers: Excellent knowledge of Enterprise Content Management and Governance Domain (Data Discovery / Analysis / Classification and Management). Experience on Sensitive information management or PII discovery on unstructured data. (GDPR). Strong experience on TRIM/HPRM/HP Records Manager/Opentext Content Manager Deployment, customization and Upgrade. Experience in Data Governance, Metadata Management and Data Quality frameworks using TRIM/HPRM/Records Manager/Opentext Content Manager. Strong experience in leading the end-to-end design, Architecture, and implementation of ECM (Enterprise Content Management) solutions. Strong experience on defining and implementing Master Data Governance Process including Data Quality, Metadata Management, and Business ownership. Experience in managing extremely large records sets and hundreds of users across global sites. Experience with Enterprise Content Management cloud solution and migration. Experienced on TRIM/Records Manager/Content Manager integration with third party applications like SharePoint, Iron Mountain, O365 etc. Strong knowledge of Content Manager Security, audit configurations and workflow. Hands on Experience on SQL Database queries. Microsoft C#.NET (Programming language C#) Web Services development Web App development Windows Scheduler development Content Manager/Records Manager with .NET SDK (programming) Used in above mentioned Web Services and Windows Scheduler Custom Add-Ins development. Troubleshoot problems as necessary. What you need to Suceed : Experience on Capture, Imaging and Scanning products and technologies. Hands On experience on ECM products like Opentext xECM, Content Server. Cloud Certification Knowledge of Operation system (Win/Unix) and basic networking.

About Company: Papigen is a fast-growing global technology services company, delivering innovative digital solutions through deep industry experience and cutting-edge expertise. We specialize in technology transformation, enterprise modernization, and dynamic areas like Cloud, Big Data, Java, React, DevOps, and more. Our client-centric approach combines consulting, engineering, and data science to help businesses evolve and scale efficiently. About the Role: We are seeking a Senior Data Engineer to join our growing cloud data team. In this role, you will design and implement scalable data pipelines and ETL processes using Azure Databricks , Azure Data Factory , PySpark , and Spark SQL . Youll work with cross-functional teams to develop high-quality, secure, and efficient data solutions in a data lakehouse architecture on Azure. Key Responsibilities: Design, develop, and optimize scalable data pipelines using Databricks , ADF , PySpark , Spark SQL , and Python Build robust ETL workflows to transform and load data into a lakehouse architecture on Azure Ensure data quality, security, and compliance with data governance and privacy standards Collaborate with stakeholders to gather business requirements and deliver technical data solutions Create and maintain technical documentation for workflows, architecture, and data models Work within an Agile environment and track tasks using tools like Azure DevOps Required Skills & Experience: 8+ years of experience in data engineering and enterprise data platform development Proven expertise in Azure Databricks , Azure Data Factory , PySpark , and Spark SQL Strong understanding of Data Warehouses , Data Marts , and Operational Data Stores Proficient in writing complex SQL / PL-SQL queries and understanding data models and data lineage Knowledge of data management best practices: data quality , lineage , metadata , reference/master data Experience working in Agile teams with tools like Azure DevOps Strong problem-solving skills, attention to detail, and the ability to multi-task effectively Excellent communication skills for interacting with both technical and business teams Benefits and Perks: Opportunity to work with leading global clients Exposure to modern technology stacks and tools Supportive and collaborative team environment Continuous learning and career development opportunities

As a member of the Contact Optimization team, you will play a crucial role in enhancing and acquiring marketing contact data, ensuring data governance and finding practical solutions to data quality and flow issues. Your strong communication skills and collaborative nature, combined with a data-driven mindset, will enable you to continuously improve contact data quality. By working with internal and external stakeholders, you will define, document, optimize, and operationalize data quality processes. As the primary escalation point for data issues, your ability to analyze and interpret data will provide valuable insights into AGM marketing priorities, allowing you to develop strategies that ensure optimal results. Drive and manage end-to-end marketing data enrichment activities, while adhering to and advocating for legal regulations Identify, analyze, select, recommend, onboard, and manage 3rd party WWM data vendors Conduct regular check-ins and monitor vendor performance to ensure data processing practices are followed and the quality of work meets company standards Collaborate cross-functionally to resolve system and/or vendor discrepancies, data accuracy, consistency, and availability of data across all systems Analyze data to identify volume gaps, expansion opportunities, access risk, and growth opportunities Evaluate the health of system data, standardizing or enhancing it as necessary to ensure marketability of contact data Track, measure, and communicate the impact of completed and ongoing data enrichment initiatives Drive new enrichment initiatives to increase data quality & net-new prospects Support initiatives to further define, align, and recommend optimized, globally standardized enrichment and acquisition policies and processes Drive awareness and alignment to global/regional processes by conducting regular trainings and assisting with the maintenance of Data Enrichment documentation/wiki Minimum Qualifications: 5+ years of experience in a marketing operations role involving databases, data manipulation, and data mapping Excellent written and verbal communication, critical thinking abilities, and effective cross-functional collaboration skills Strong understanding of database systems, technologies, integrations, and mapping logic Self-starter with creativity, flexibility, adaptability, and resilience in a dynamic environment Results-oriented individual with strong interpersonal skills, capable of taking ownership and driving deliverables Experience in managing projects internally and externally Strong problem-solving skills with attention to detail Preferred Qualifications: Proficiency in Microsoft Excel & Power Point Project Management skills Ability to deliver on KPIs and measurable success criteria Experience managing data enrichment and acquisition vendors Proficiency in problem-solving and communicating with individual stakeholders and teams Business proficiency in English Salesforce & Marketo knowledge a plus About Autodesk: Autodesk is dedicated to helping innovators turn their ideas into reality, transforming how things are made and what can be made. The company values a culture of belonging and equity in the workplace, where everyone can thrive and contribute to building a better future. Autodeskers are encouraged to be their authentic selves and engage in meaningful work that shapes the world and the future. Join Autodesk to be part of a team that creates amazing things every day.,

Job Description: Data Management Lead Experience Required: 12+ Years Location: Bangalore Industry: Financial Services & Others Role Overview We are seeking a seasoned Data Management Lead with 15+ years of experience to define, implement, and optimize the organizations data management strategy. This leadership role focuses on data usage controls implementation (hands-on), data maturity assessments, architecture design, and managing technical vs business data elements. The ideal candidate will possess a blend of hands-on technical expertise, strategic vision, and stakeholder management skills, enabling the organization to maximize the value of its data assets while ensuring compliance, governance, and quality. Key Responsibilities 1. Data Strategy, Maturity Assessment, and Architecture Develop and execute a comprehensive data management strategy aligned with organizational objectives. Conduct data maturity assessments to evaluate current capabilities and design a roadmap to the target state. Design and maintain current vs future state data architectures to ensure scalability, efficiency, and alignment with business goals. Manage and differentiate technical vs business data elements, ensuring alignment across teams and systems. 2. Data Usage Controls Implementation (Hands-On) Implement and manage data usage control frameworks to monitor, protect, and govern sensitive data. Lead the hands-on configuration and operationalization of tools for data classification, access control, and retention policies. Define and enforce data usage policies for internal and external stakeholders, ensuring compliance with organizational and regulatory standards. Collaborate with security teams to integrate data usage controls into the broader data security framework. 3. Data Governance and Quality Establish and enforce data governance policies, frameworks, and standards to ensure accuracy, consistency, and security. Lead the definition and management of Critical Data Elements (CDEs), including ownership and lifecycle management. Develop and track data quality metrics, conducting regular audits to ensure continuous improvement. Monitor data lineage and establish robust documentation for auditability and compliance. 4. System Integration and Tool Implementation Oversee the integration and management of Master Data Management (MDM) tools, ensuring seamless data consistency across systems. Lead data migration and transformation initiatives, ensuring alignment with business requirements. Configure and optimize data governance tools (e.g., Microsoft Purview, Collibra, Informatica) for metadata management, lineage tracking, and quality control. Work closely with IT teams to ensure the implementation of scalable and secure data infrastructure. 5. Stakeholder Engagement and Leadership Act as a trusted advisor to senior leadership, providing insights and recommendations on data strategy, governance, and usage control implementations. Foster strong relationships with internal stakeholders (e.g., business units, IT teams) and external vendors. Drive organizational alignment on data-related priorities and foster a culture of data-driven decision-making. 6. Team Leadership and Mentorship Lead, mentor, and inspire a team of data professionals to deliver high-impact outcomes. Identify skill gaps and provide training opportunities to ensure the team remains ahead of industry trends and challenges. Promote collaboration and knowledge sharing across teams to enhance overall data management capabilities. 7. Risk, Compliance, and Continuous Improvement Ensure compliance with data privacy and security regulations and other applicable laws. Implement risk mitigation strategies to address potential data-related issues and vulnerabilities. Drive continuous improvement initiatives to refine data management processes and adapt to evolving business needs. Identify opportunities to leverage emerging technologies (e.g., AI/ML) for data governance, quality improvement, and efficiency. Qualifications & Experience 15+ years of experience in data management, governance, and strategy. Proven expertise in implementing data usage control programs and tools with a hands-on approach. Strong knowledge of data governance frameworks, tools, and technologies (e.g., Microsoft Purview, Informatica, Collibra). Hands-on experience with data classification, lineage tracking, and retention policy enforcement. Expertise in conducting data maturity assessments and developing roadmaps for future state architectures. Familiarity with cloud-based platforms (e.g., Azure, AWS, GCP Preferred) and data management tools. Experience managing large-scale global data programs, including data migration and transformation. Key Skills Strong analytical and problem-solving abilities. Advanced technical proficiency in data usage controls, governance, and quality management. Strategic thinking coupled with a hands-on approach to execution. Exceptional communication and stakeholder management skills. Knowledge of programming and scripting languages like SQL, Python, or R (Good to have). Preferred Certifications Certified Data Management Professional (CDMP). Cloud certifications (e.g., AWS, Azure, GCP).,

The Digital Analytics Implementation and Tagging Senior Analyst will play a crucial role in the organization by ensuring accurate data collection, tagging, and implementation of analytics solutions. You will need to have a strong understanding of Adobe Analytics, Adobe Launch Tag Manager, SQL, ETL processes, and a deep commitment to data accuracy and quality. Collaborating with cross-functional teams, you will define tagging requirements for digital properties like websites, mobile apps, and other digital platforms. Utilizing Adobe Launch Tag Manager, you will implement and manage tagging solutions to ensure data consistency and accuracy. Configuring Adobe Analytics / CJA will be part of your responsibilities to collect and report relevant KPIs, events, and dimensions, customizing reports and dashboards as needed. Additionally, working with Adobe Experience Platform (AEP) for seamless analytics implementation will be crucial. Your role will involve developing customer journey insights and dashboards to track key business metrics and performance indicators. Regular audits will need to be conducted to ensure proper data collection, consistency, and data integrity. Troubleshooting and resolving tagging issues, tracking discrepancies, and data anomalies will also be part of your responsibilities. Staying updated with the latest trends in Adobe Analytics, AEP, and data visualization is essential to continuously improve implementation strategies. Providing actionable insights and recommendations to optimize user experiences and business outcomes will be expected. Working closely with other data analysts and stakeholders to ensure data-driven decisions and alignment with business goals is crucial. Qualifications: - 5-7 years of experience - Bachelor's degree in a related field (e.g., Computer Science, Data Science, Marketing, or Analytics) - Proven experience in Adobe Analytics and Adobe Launch Tag Manager, including tagging implementations and configurations, with at least 2+ years in Adobe CJA - Good to have - Strong understanding of Adobe Experience Platform (AEP), Adobe Analytics, and related tools - Experience with Tag Management Systems (Adobe Tags/Launch, Tealium, or Google Tag Manager) - Proficiency in SQL, JavaScript, JSON, and API integrations for data ingestion and transformation - Ability to work with data layers, schemas, and event-based data models - Experience in building dashboards and reports using Adobe CJA or other BI tools (Power BI, Tableau, etc.) - Strong problem-solving skills with the ability to troubleshoot data discrepancies and implementation issues - Excellent communication and collaboration skills to work effectively with cross-functional teams - Self-motivated and able to manage multiple projects and priorities simultaneously - Analytical mindset and a passion for data-driven decision-making - Relevant certifications in Adobe Analytics Launch is a plus Labcorp is proud to be an Equal Opportunity Employer. We encourage all to apply. If you need assistance using our online tools or require an accommodation due to a disability, please visit our accessibility site or contact us at Labcorp Accessibility. For more information on how we collect and store personal data, please see our Privacy Statement.,

Company: Arise TechGlobal Website: Visit Website Business Type: Consulting Firm Company Type: Service Business Model: B2B Funding Stage: Series D+ Industry: Managed Services Salary Range: 20-30 Lacs PA Job Description This is a Contract to Hire (C2H) role with the client of Arise TechGlobal which is one of the Big Tech in Managed Services space. We are looking for Snowflake Admin/Developers with one of our reputed clients based out of Hyderabad location for Hybrid working model. Request to go through the below JD and share across your updated profile with required details. Responsibilities Act as Data domain expert for Snowflake Data Warehouse in a collaborative environment (between teams as well as with the vendor) to provide understanding of data management best practices, patterns and roadmap for their implementation Enhance and Enforce current Snowflake Security Model (access and functional roles, masking and password policies, service and user accounts) Design Data Flows and take Architectural decisions for new and existing features and implementation aligning with all Stakeholders and taking into account ROI Support implementation of new Data Warehouses and Data Marts plus enhance existing ones Snowflake Cost Management and Resource Monitoring Implementation Integrations between Snowflake and various platforms (internal and external) like ServiceNow, SalesForce, SuccessFactors, DBMS (Oracle, PostgreSQL), S3 buckets, SFTPs, etc. Application of proper Data Governance Data Classification, Single Source of Truth, Reference Data, Master Data and Data Quality Technical documentation Upskill in Snowflake and provide learning guidance to existing team members Required Skills 5+ years of experience implementing Data Management Solutions, Customer Data Platforms and migrations to Cloud Design and Implement complex Orchestration and ETL/ELT solutions (incremental loads, event-based triggering etc.), experience with batch and streaming ingestions Expertise in Snowflake concepts like setting up Resource monitors, scalable virtual warehouse, SQL performance tuning, zero copy clone, time travel, Data Sharing, Data Replication and Failover, SnowPipe, SnowSQL and automation Advanced knowledge and hands-on experience with Snowflake Security model: Single Sign on, RBAC, Type of accounts, Accounts policies, Provisioning, Whitelisting Experience in handling structured, semi-structured (JSON, XML) and unstructured data, columnar format like PARQUET and open-table formats (Delta, Iceberg) Data Warehouse Modelling and Medallion Architecture knowledge Experience with Public Cloud implementation and concepts (AWS preferably) cloud storage, networking, virtual machines, serverless technologies, access, data ingestion tools Data Governance and Master Data Management Programming skills in SQL and Python CICD knowledge Excellent communication and stakeholder management skills Would be considered as plus: Oracle and Oracle Data Integrator DBT AirFlow JavaScript,

You will be responsible for leading and supporting enterprise master data programs to deliver Bunge's strategic initiatives covering Digital programs, Data Integration, and S4 Hana implementation for Finance data domain. As the Global Lead - Finance and Local Techno Functional Lead for Core Finance Master Data, you will be accountable for developing business solutions, ensuring Data Quality, and successfully implementing solutions across all geographic regions and Bunge's businesses. Your role will involve driving alignment across multiple business functional areas to define and execute project scope and deliverables. As a techno-functional expert in Master Data Management for Finance data types such as Cost center, GL, Profit center, and Company code, you will collaborate with various Bunge stakeholders globally from Business, IT, and other areas to define and achieve mutually agreed outcomes in the master data domains. You will work closely with Business Subject Matter Experts, Business Data Owners, Business functional area leaders, IT teams, Solution Architects, Bunge Business Services leaders, Delivery Partner teams, Enterprise Architecture (IT), and other IT teams to ensure seamless execution of integrated technology solutions aligned with business needs. Your key functions will include being responsible for end-to-end business requirements, engaging with business to gather requirements, defining project scope and deliverables, leading business UAT, managing scope and deliverables of strategic projects, driving implementation of master data solutions, building relationships with internal and external service providers, guiding project teams, maintaining in-depth understanding of processes, creating and maintaining data policies, leading Continuous Improvement initiatives, and much more. To be successful in this role, you should have a minimum of 13-15 years of professional data management experience, including at least 8-10 years of providing business solutions and working experience in SAP HANA & MDG/MDM. You should have strong leadership skills, experience in managing project teams, and the ability to work in a virtual team across different locations and time zones. Additionally, having knowledge and expertise in technologies such as SAP MDG, S4 HANA, Data Lake, Data Model, and MDM will be beneficial for this role.,

Job Title: Product Owner / Subject Matter Expert (AI & Data) Experience Required: 10+ years Location: The selected candidate is required to work onsite for the initial 1 to 3-month project training and execution period at either our Kovilpatti or Chennai location, which will be confirmed during the onboarding process. After the initial period, remote work opportunities will be offered. Job Description: The Product Owner / Subject Matter Expert (AI & Data) will lead the definition, prioritization, and successful delivery of intelligent, data-driven products by aligning business needs with AI/ML and data platform capabilities. Acting as a bridge between stakeholders, data engineering teams, and AI developers, this role ensures that business goals are translated into actionable technical requirements. The candidate will manage product backlogs, define epics and features, and guide cross-functional teams throughout the product development lifecycle. They will play a crucial role in driving innovation, ensuring data governance, and realizing value through AI-enhanced digital solutions. Key Responsibilities: Define and manage the product roadmap across AI and data domains based on business strategy and stakeholder input. Translate business needs into technical requirements, user stories, and use cases for AI and data-driven applications. Collaborate with data scientists, AI engineers, and data engineers to prioritize features, define MVPs, and validate solution feasibility. Lead backlog refinement, sprint planning, and iteration reviews across multidisciplinary teams. Drive the adoption of AI models (e.g., LLMs, classification, prediction, recommendation) and data pipelines that support operational goals. Ensure inclusion of data governance, lineage, and compliance requirements in product development. Engage with business units to define KPIs and success metrics for AI and analytics products. Document product artifacts such as PRDs, feature definitions, data mappings, model selection criteria, and risk registers. Facilitate workshops, stakeholder demos, and solution walkthroughs to ensure ongoing alignment. Support responsible AI practices and secure data sharing standards. Technical Skills: Product Management Tools: Azure DevOps, Jira, Confluence AI/ML Concepts: LLMs, NLP, predictive analytics, computer vision, generative AI AI Tools: OpenAI, Azure OpenAI, MLflow, LangChain, prompt engineering Data Platforms: Azure Data Factory, Databricks, Synapse Analytics, Purview, SQL, NoSQL Data Governance: Metadata management, data lineage, PII handling, classification standards Documentation: PRDs, data dictionaries, process flows, KPI dashboards Methodologies: Agile/Scrum, backlog management, MVP delivery Qualification: Bachelors or Master’s in Computer Science, Data Science, Information Systems, or a related field. Preferred Certifications: Microsoft Certified (Azure AI Engineer Associate / Azure Data Fundamentals / Azure Data Engineer Associate). 10+ years of experience in product ownership, business analysis, or solution delivery in AI and data-centric environments. Proven success in delivering AI-enabled products and scalable data platforms. Strong communication, stakeholder facilitation, and technical documentation skills.

Company Description Happiest Minds Technologies Limited is a Mindful IT Company that enables digital transformation for enterprises and technology providers. The company leverages disruptive technologies like artificial intelligence, blockchain, cloud, and IoT to deliver seamless customer experiences and actionable insights. Happiest Minds is headquartered in Bangalore, India, with operations in multiple countries and across various industry sectors. Role Description This is a full-time on-site role for a Data Governance Practitioner at Happiest Minds Technologies in Bengaluru. The Data Governance Practitioner will be responsible for implementing and maintaining data governance frameworks, policies, and procedures. The role involves ensuring data quality, integrity, security, and compliance with regulatory requirements. Additionally, the Data Governance Practitioner will collaborate with cross-functional teams to drive data governance initiatives and support data-driven decision-making. Qualifications Data governance, data management, and data quality skills Experience in implementing data governance frameworks and policies Knowledge of regulatory requirements related to data privacy and security Strong analytical and problem-solving skills Excellent communication and interpersonal skills Ability to collaborate with cross-functional teams Experience with data visualization tools and technologies Bachelor's or Master's degree in Computer Science, Information Systems, or related field,

About the role Data Governance Advisor Clients and Accounts Advisory Services, Core This role will maintain and develop the data governance and management function for the account in the regional context, with tight cooperation with the global structures. This role will be responsible for building a solid and long-term data governance program aimed at reducing organizational risks coming from poor quality real estate data. This position will report to the Regional Data Governance Lead Clients and Accounts Advisory Service of the CPOs organization in JLLT. Responsibilities Establishment and ongoing development of Client Account data governance and management framework across service lines to ensure the consistency and integrity of the data Data profiling followed by defining and maintenance of Client Account Data Governance compliance, usage, and quality metrics, and facilitating errors remediation with Data Stewards Master Data Management for critical data elements; maintenance of the key repository involving gatekeeping of standards, and promoting the procedures Daily business communication and relationship building with multiple stakeholders, both internal and external, to solve ongoing data issues and democratize knowledge on data, including development of mature Data Stewardship program Creation and maintenance of the Data Dictionaries Facilitating meetings with data consumers, data stewards, data producers and other stakeholders to ensure data governance rules and standards are applied to data related changes/ projects Partnering with the IT, BI and service lines counterparts to understand the business context for data management activities Identifying areas for improvement and recommending solutions regarding data quality and processes Supporting the Account in knowledge management by establishing and documenting data flows and processes Sounds like you To apply you need to be: Required Qualifications, Skills & Experience 5+ years of data governance data management related experience in an enterprise environment across multiple application systems and business functions Strong experience in Client Relationship Management Experience in Change Management and business analyst role Familiarity with SQL and database management processes High level of attention to detail and accuracy and ability to make effective decisions and solve problems Knowledge of data lifecycle and maintenance processes Good understanding of data quality management (processes and concepts) Knowledge of data governance and how it impacts business processes Advanced skills in MS Excel, Word, and PowerPoint required Skills & Competencies Relationship management skills that include excellent listening and consultative capability, the ability to influence and negotiate with business and technology partners to drive change, and the ability to take a broad perspective and make key connections Demonstrated information management, analytics and data profiling skills. Control, compliance, audit, risk management and relevant experience in risk identification, assessment, monitoring, and remediation will be helpful. Understanding of global organizational design and the ability to shape and drive large-scale, cross-functional programs around people, technology, processes, and tools. Demonstrated ability to balance long-term strategy with quick wins. Demonstrated ability for strategic influencing and education of cross-functional stakeholders about the strategic importance and value of data governance. Experience managing small professional teams and delivering results. Ability to establish and maintain a high level of customer trust and confidence in the overall information and analytics space. Excellent oral, written, and presentation communication skills. Strong negotiation and group facilitation skills; ability to move a process forward, while meeting the needs of a variety of clients. Ability to work with various levels of peers including analysts, developers and executives regarding complex business and data related issues. Superior project management/ consulting and leadership skills. Demonstrated ability to facilitate complex, mission critical projects and to develop, participate in and guide multi-disciplinary work teams. Manage task timelines and deliverable schedules and share concerns about deliverables, timelines, and issues with Global Data Governance. Excellent managerial skills; collaborative, imaginative, resourceful, reliable, technically savvy. Apply listening and consultative skills to understand business needs; be able to interpret requirements, identify impacts and analyze problems to determine impacts to business processes across the organization. Professional consulting skills are desired. Superior ability to manage, manipulate and analyze raw data, draw conclusions, and develop actionable recommendations using technology. Articulate the issues and resolutions via business-friendly communications. Serve as primary day-to-day contact for regional data management issues. Good understanding of data quality management. Knowledge of data governance and how it impacts business processes. Knowledge of data management in a global environment, including data lifecycle and maintenance processes. Ability to work well under deadlines in a multi-tasking production environment to make good judgments about competing priorities. Ability to tell a story to explain or sell a concept. Skills in MS Visio, Word and PowerPoint is a plus. Youll join an entrepreneurial, inclusive culture. One where we succeed together across the desk and around the globe. Where like-minded people work naturally together to achieve great things.

About The Role Project Role : Software Development Engineer Project Role Description : Analyze, design, code and test multiple components of application code across one or more clients. Perform maintenance, enhancements and/or development work. Must have skills : SAP Master Data Governance MDG Tool Good to have skills : NAMinimum 3 year(s) of experience is required Educational Qualification : 15 years full time education Summary :As a Software Development Engineer, you will engage in a dynamic work environment where you will analyze, design, code, and test various components of application code across multiple clients. Your day will involve collaborating with team members to ensure the successful implementation of enhancements and maintenance tasks, while also contributing to the development of new features that meet client needs. You will be responsible for troubleshooting issues and ensuring the quality of the application through rigorous testing and validation processes, all while adhering to best practices in software development. Roles & Responsibilities:- Expected to perform independently and become an SME.- Required active participation/contribution in team discussions.- Contribute in providing solutions to work related problems.- Collaborate with cross-functional teams to gather requirements and translate them into technical specifications.- Conduct code reviews to ensure adherence to coding standards and best practices. Professional & Technical Skills: - Must To Have Skills: Proficiency in SAP Master Data Management & Architecture.- Strong understanding of data modeling and data governance principles.- Experience with integration tools and techniques for data synchronization.- Familiarity with SAP modules and their interdependencies.- Ability to troubleshoot and resolve data-related issues effectively. Additional Information:- The candidate should have minimum 3 years of experience in SAP Master Data Management & Architecture.- This position is based at our Chennai office.- A 15 years full time education is required. Qualification 15 years full time education

About The Role Project Role : Application Developer Project Role Description : Design, build and configure applications to meet business process and application requirements. Must have skills : Microsoft Purview Good to have skills : NAMinimum 5 year(s) of experience is required Educational Qualification : 15 years full time education Summary :As an Application Developer, you will be responsible for designing, building, and configuring applications to meet business process and application requirements. You will play a crucial role in developing solutions to enhance business operations and efficiency. Roles & Responsibilities:- Expected to be an SME- Collaborate and manage the team to perform- Responsible for team decisions- Engage with multiple teams and contribute on key decisions- Provide solutions to problems for their immediate team and across multiple teams- Lead the application development process- Conduct code reviews and ensure coding standards are met- Implement best practices for application development Professional & Technical Skills: - Must To Have Skills: Proficiency in Microsoft Purview- Strong understanding of data governance principles- Experience with data integration and data management tools- Hands-on experience in developing and deploying applications- Knowledge of cloud platforms and services Additional Information:- The candidate should have a minimum of 5 years of experience in Microsoft Purview- This position is based at our Bengaluru office- A 15 years full time education is required Qualification 15 years full time education

About The Role Project Role : Data Platform Engineer Project Role Description : Assists with the data platform blueprint and design, encompassing the relevant data platform components. Collaborates with the Integration Architects and Data Architects to ensure cohesive integration between systems and data models. Must have skills : Alation Data Catalog Good to have skills : NAMinimum 15 year(s) of experience is required Educational Qualification : 15 years full time education Summary :As a Data Platform Engineer, you will assist with the data platform blueprint and design, encompassing the relevant data platform components. Your typical day will involve collaborating with various teams to ensure that the integration between systems and data models is seamless, while also contributing to the overall architecture of the data platform. You will engage in discussions that shape the direction of data initiatives and work closely with Integration Architects and Data Architects to align on best practices and strategies for data management. Roles & Responsibilities:- Expected to be a Subject Matter Expert with deep knowledge and experience.- Should have influencing and advisory skills.- Responsible for team decisions.- Engage with multiple teams and contribute on key decisions.- Expected to provide solutions to problems that apply across multiple teams.- Facilitate workshops and discussions to gather requirements and feedback from stakeholders.- Mentor junior professionals in best practices and methodologies related to data architecture. Professional & Technical Skills: - Must To Have Skills: Proficiency in Alation Data Catalog.- Strong understanding of data governance and management principles.- Experience with data integration tools and techniques.- Familiarity with cloud data platforms and services.- Ability to design and implement data models that support business needs. Additional Information:- The candidate should have minimum 15 years of experience in Alation Data Catalog.- This position is based at our Kolkata office.- A 15 years full time education is required. Qualification 15 years full time education

About The Role Project Role : Application Developer Project Role Description : Design, build and configure applications to meet business process and application requirements. Must have skills : Data Modeling Techniques and Methodologies Good to have skills : SAP Analytics Cloud DevelopmentMinimum 12 year(s) of experience is required Educational Qualification : 15 years full time education Summary :As an Application Developer, you will design, build, and configure applications to meet business process and application requirements. A typical day involves collaborating with various teams to understand their needs, developing solutions that align with business objectives, and ensuring that applications are optimized for performance and usability. You will also engage in problem-solving activities, providing innovative solutions that enhance the overall functionality of the applications you work on. Roles & Responsibilities:- Expected to be an SME.- Collaborate and manage the team to perform.- Responsible for team decisions.- Engage with multiple teams and contribute on key decisions.- Expected to provide solutions to problems that apply across multiple teams.- Facilitate knowledge sharing sessions to enhance team capabilities.- Monitor project progress and ensure alignment with business goals. Professional & Technical Skills: - Must To Have Skills: Proficiency in Data Modeling Techniques and Methodologies.- Good To Have Skills: Experience with SAP Analytics Cloud Development.- Strong understanding of database design principles and data architecture.- Experience with data integration and ETL processes.- Familiarity with data governance and data quality management. Additional Information:- The candidate should have minimum 12 years of experience in Data Modeling Techniques and Methodologies.- This position is based at our Hyderabad office.- A 15 years full time education is required. Qualification 15 years full time education