2724 Data Governance Jobs - Page 29

As a skilled professional in MDM solutions using Profisee, you will play a crucial role in designing, developing, implementing, and maintaining our master data management systems. Your expertise in data governance, data quality, and data integration will ensure the accuracy, consistency, and completeness of our master data. This position requires not only strong technical skills but also excellent communication abilities to effectively collaborate with cross-functional teams. Responsibilities: Solution Design and Development: Lead the design and development of MDM solutions using Profisee, encompassing data models, workflows, business rules, and user interfaces. Translate business requirements into technical specifications and MDM solutions. Configure and customize the Profisee platform to align with specific business needs. Develop and implement data quality rules and processes within Profisee to uphold data accuracy and consistency. Design and execute data integration processes between Profisee and other enterprise systems (e.g., ERP, CRM, Data Warehouse) using diverse integration techniques (API, ETL, etc.). Implementation and Deployment: Engage in the complete MDM implementation lifecycle, from requirements gathering to design, development, testing, deployment, and support. Create and execute test plans and scripts to validate the functionality and performance of the MDM solution. Troubleshoot and resolve issues pertaining to MDM data, processes, and infrastructure. Deploy and configure Profisee environments (development, test, production). Data Governance and Stewardship: Contribute to formulating and enforcing data governance policies and procedures. Collaborate with data stewards to define data ownership and accountability. Aid in establishing and updating data dictionaries and metadata repositories. Ensure adherence to data privacy regulations and security policies. Maintenance and Support: Monitor the performance and stability of the MDM environment. Offer ongoing support and maintenance for the MDM solution, encompassing bug fixes, enhancements, and upgrades. Develop and maintain documentation for MDM processes, configurations, and procedures. Proactively identify and resolve potential issues related to data quality and MDM performance. Collaboration and Communication: Work closely with business users, IT staff, and other stakeholders to grasp data requirements and implement efficient MDM solutions. Communicate proficiently with both technical and non-technical audiences. Participate in project meetings and provide regular status updates. Mentor and train junior team members on MDM best practices and the Profisee platform.,

As a Senior Data Modeller, you will be responsible for leading the design and development of conceptual, logical, and physical data models for enterprise and application-level databases. Your expertise in data modeling, data warehousing, and data governance, particularly in cloud environments, Databricks, and Unity Catalog, will be crucial for the role. You should have a deep understanding of business processes related to master data management in a B2B environment and experience with data governance and data quality concepts. Your key responsibilities will include designing and developing data models, translating business requirements into structured data models, defining and maintaining data standards, collaborating with cross-functional teams to implement models, analyzing existing data systems for optimization, creating entity relationship diagrams and data flow diagrams, supporting data governance initiatives, and ensuring compliance with organizational data policies and security requirements. To be successful in this role, you should have at least 12 years of experience in data modeling, data warehousing, and data governance. Strong familiarity with Databricks, Unity Catalog, and cloud environments (preferably Azure) is essential. Additionally, you should possess a background in data normalization, denormalization, dimensional modeling, and schema design, along with hands-on experience with data modeling tools like ERwin. Experience in Agile or Scrum environments, proficiency in integration, databases, data warehouses, and data processing, as well as a track record of successfully selling data and analytics software to enterprise customers are key requirements. Your technical expertise should cover Big Data, streaming platforms, Databricks, Snowflake, Redshift, Spark, Kafka, SQL Server, PostgreSQL, and modern BI tools. Your ability to design and scale data pipelines and architectures in complex environments, along with excellent soft skills including leadership, client communication, and stakeholder management will be valuable assets in this role.,

NTT DATA is looking for a Finance & Accounting Sr Associate to join the team in Gurgaon, Haryana, India. As a part of our inclusive and forward-thinking organization, we are seeking individuals with exceptional technical and soft skills to contribute to our success. **Technical Skills:** - Very good knowledge of relevant usage of Master Data. - Strong data analysis skills. - Problem-solving abilities with a collaborative approach. - Proficiency in working with MS Office and databases. - Experience with SAP ERP. **Soft Skills:** - Excellent communication skills, both verbal and written. - Strong interpersonal skills and self-management capabilities. - Effective planning and organizational skills. - Attention to detail and ability to work under deadlines. - Capacity to handle stressful situations. - Ability to interact with individuals at all organizational levels. - Proactive with a solutions-oriented mindset. - Commitment to maintaining high accuracy and quality standards. - Capability to work independently and become a subject matter expert. - Comfortable working towards targets. - Patient and adept at managing stress. **Job Responsibilities:** - End-to-end ownership of master data management. - Creation and maintenance of Product, Client, Vendor, and Service Masters. - Review incoming requests for data duplication and completeness. - Ensure data quality by reviewing each record for correctness and completeness. - Analyze and address missing master data issues by collaborating with relevant teams. **About NTT DATA:** NTT DATA is a trusted global innovator of business and technology services with a commitment to helping clients innovate, optimize, and transform for long-term success. As a Global Top Employer, we have diverse experts in over 50 countries and a strong partner ecosystem. Our services include business and technology consulting, data and artificial intelligence solutions, industry-specific services, and application development and management. NTT DATA is dedicated to digital and AI infrastructure and is part of the NTT Group, investing significantly in R&D to support organizations and society in confidently transitioning into the digital future. Visit us at us.nttdata.com.,

You are a highly skilled and experienced professional tasked with leading and supporting data warehousing and data center architecture initiatives. Your expertise in Data Warehousing, Data Lakes, Data Integration, and Data Governance, along with hands-on experience in ETL tools and cloud platforms such as AWS, Azure, GCP, and Snowflake, will be crucial for this role. You are expected to have a strong presales experience, technical leadership capabilities, and the ability to manage complex enterprise deals across various geographies. Your main responsibilities will include architecting and designing scalable Data Warehousing and Data Lake solutions, leading presales engagements, creating and presenting proposals and solution designs to clients, collaborating with cross-functional teams, estimating efforts and resources for customer requirements, driving Managed Services opportunities and enterprise deal closures, engaging with clients globally, ensuring alignment of solutions with business goals and technical requirements, and maintaining high standards of documentation and presentation for client-facing materials. To excel in this role, you must possess a Bachelors or Masters degree in Computer Science, Information Technology, or a related field. Certifications in AWS, Azure, GCP, or Snowflake are advantageous. You should have experience working in consulting or system integrator environments, a strong understanding of Data Warehousing, Data Lakes, Data Integration, and Data Governance, hands-on experience with ETL tools, exposure to cloud environments, a minimum of 2 years of presales experience, experience in enterprise-level deals and Managed Services, the ability to handle multi-geo engagements, excellent presentation and communication skills, and a solid grasp of effort estimation techniques for customer requirements.,

As a member of our team, you will be responsible for designing, developing, and maintaining scalable data pipelines utilizing Snowflake. Your role will involve optimizing SQL queries and data models to enhance performance and efficiency. Furthermore, you will play a crucial part in implementing data security and governance best practices within the Snowflake platform. Collaboration is key in this position, as you will work closely with data scientists and analysts to address and fulfill their data requirements effectively. Additionally, you will be expected to troubleshoot and resolve any data-related issues promptly to ensure smooth operations. If you are passionate about working with cutting-edge technologies and are eager to contribute to a dynamic team environment, this opportunity is perfect for you. Join us and be a part of our exciting journey towards achieving excellence in data management and analysis. #CareerOpportunities #JobVacancy #WorkWithUs,

At EY, you will be part of a globally connected powerhouse of diverse teams that will shape your future with confidence. Your career will have the opportunity to grow in innovative ways as you contribute to cutting-edge projects on the Azure platform. As an Azure ML and Python Developer, you will play a crucial role in designing and implementing data pre-processing, feature engineering, and model training pipelines to ensure model performance and reliability in production environments. Your responsibilities will include developing and deploying machine learning models on the Azure cloud platform using Python programming language and Azure ML services. You will collaborate with data scientists and business stakeholders to understand requirements and translate them into technical solutions. Additionally, you will design and implement scalable data pipelines for model training and inference, maintain APIs on the Azure cloud platform, and monitor and optimize model performance. To excel in this role, you should have a bachelor's degree in computer science, data science, or a related field, along with 6-8 years of experience in machine learning, data engineering, and cloud computing, with a focus on Azure services. Proficiency in Python programming language, Azure ML services, and cloud infrastructure is essential. You should also possess strong analytical and problem-solving skills, excellent communication abilities, and a proactive mindset to thrive in a fast-paced environment. As part of the EY team, you will have the opportunity to work on inspiring and meaningful projects, receive support and coaching from engaging colleagues, and develop new skills to progress your career. You will be encouraged to take ownership of your personal development with an individual progression plan and contribute to a collaborative and interdisciplinary environment that values high quality and knowledge exchange. Join EY to be part of building a better working world where you can shape the future with confidence, develop answers to pressing issues, and contribute to creating new value for clients, people, society, and the planet using data, AI, and advanced technology.,

Job Title: Head Technology / Senior Manager Technology Location: Bengaluru North, Karnataka, India Employment Type: Full-Time Job Overview: We are seeking an experienced Head Technology / Senior Manager Technology to lead the digital transformation and IT strategy for a premier educational institution. The role requires expertise in technology integration, IT migration, understanding user needs, system development, project management, vendor coordination, and cybersecurity. The ideal candidate will ensure a seamless, secure, and innovative technology ecosystem that enhances academic and administrative functions. Key Responsibilities: Technology Strategy & Integration: Develop and implement a forward-looking technology roadmap aligned with institutional goals. Lead technology integration initiatives, ensuring seamless academic, administrative, and operational processes. Identify and implement emerging technologies to enhance digital learning, student engagement, and operational efficiency. Understand user needs and build systems that cater to faculty, students, and administration. IT Infrastructure & Migration: Oversee IT migration projects, ensuring seamless transition of systems, data, and applications to modern, scalable architectures. Manage cloud and on-premise infrastructure, ensuring high availability, security, and scalability. Optimize network architecture and IT resources for efficiency and cost-effectiveness. Cybersecurity & Data Protection: Develop and enforce a robust cybersecurity framework to protect institutional data, IT assets, and digital resources. Ensure compliance with data privacy regulations and implement best practices in IT security. Conduct regular security audits, vulnerability assessments, and disaster recovery planning. Implement proactive cybersecurity measures, including intrusion detection, firewalls, and endpoint security solutions. Digital Transformation & EdTech Implementation: Drive digital transformation initiatives, including ERP integration, data dashboards, Learning Management Systems (LMS), and AI-powered solutions. Develop and maintain real-time data dashboards for academic and operational decision-making. Support faculty in leveraging EdTech tools for enhanced teaching and learning experiences. Explore AI, data analytics, and automation to improve student outcomes and institutional efficiency. Project Management & Vendor Coordination: Lead IT projects, ensuring timely delivery and alignment with institutional needs. Coordinate with technology vendors and service providers for optimal performance and cost-efficiency. Manage budgets, timelines, and resources for technology rollouts and system upgrades. Ensure seamless ERP system integration with academic and administrative functions. IT Support & Stakeholder Engagement: Oversee IT support services to ensure a seamless technology experience for students, faculty, and staff. Work closely with academic and administrative leadership to align IT initiatives with institutional needs. Qualifications & Experience: Bachelors or Masters degree in Computer Science, Information Technology, or a related field. 10+ years of experience in IT leadership roles, preferably in education or large enterprises. Proven experience in technology integration, system development, ERP integration, and cybersecurity strategy. Strong knowledge of cloud computing, network security, data governance, and IT infrastructure. Experience in implementing ERP, LMS, and enterprise-wide digital transformation projects. Excellent leadership, problem-solving, and stakeholder management skills. Preferred Skills: Knowledge of higher education technology trends and best practices in digital transformation. Hands-on experience with cybersecurity tools, risk management frameworks, and compliance regulations. Familiarity with AI, ML, IoT, and advanced data analytics in an educational setting. Experience in handling large-scale IT migrations and cloud transitions. Compensation & Benefits: Competitive salary based on experience and expertise. Opportunity to lead transformative technology initiatives in a reputed University. Professional growth and continuous learning opportunities.

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Project Role : Application Lead Project Role Description : Lead the effort to design, build and configure applications, acting as the primary point of contact. Must have skills : Databricks Unified Data Analytics Platform Good to have skills : NAMinimum 7.5 year(s) of experience is required Educational Qualification : 15 years full time education Summary :As an Application Lead, you will lead the effort to design, build, and configure applications, acting as the primary point of contact. Your typical day will involve collaborating with various stakeholders to gather requirements, overseeing the development process, and ensuring that the applications meet the specified needs. You will also engage in problem-solving discussions with your team, providing guidance and support to ensure successful project outcomes. Additionally, you will monitor project progress and make necessary adjustments to keep everything on track, fostering a collaborative environment that encourages innovation and efficiency. 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.- Facilitate knowledge sharing sessions to enhance team capabilities.- Mentor junior team members to support their professional growth. Professional & Technical Skills: - Must To Have Skills: Proficiency in Databricks Unified Data Analytics Platform.- Strong understanding of data integration and ETL processes.- Experience with cloud computing platforms and services.- Familiarity with data governance and compliance standards.- Ability to work with large datasets and perform data analysis. Additional Information:- The candidate should have minimum 3 years of experience in Databricks Unified Data Analytics Platform.- This position is based at our Bengaluru office.- A 15 years full time education is required. Qualification 15 years full time education

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 : Databricks Unified Data Analytics Platform Good to have skills : NAMinimum 3 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 Integration Architects and Data Architects to ensure cohesive integration between systems and data models, while also engaging in discussions to enhance the overall data strategy and architecture. 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.- Engage in continuous learning to stay updated with industry trends and technologies.- Assist in the documentation of data platform processes and best practices. Professional & Technical Skills: - Must To Have Skills: Proficiency in Databricks Unified Data Analytics Platform.- Good To Have Skills: Experience with cloud data services and data warehousing solutions.- Strong understanding of data integration techniques and ETL processes.- Familiarity with data governance and data quality frameworks.- Experience in working with big data technologies and frameworks. Additional Information:- The candidate should have minimum 3 years of experience in Databricks Unified Data Analytics Platform.- This position is based at our Pune office.- A 15 years full time education is required. Qualification 15 years full time education

Project Role : Application Lead Project Role Description : Lead the effort to design, build and configure applications, acting as the primary point of contact. Must have skills : Microsoft Purview Good to have skills : Collibra Data GovernanceMinimum 5 year(s) of experience is required Educational Qualification : 15 years full time education Summary :As an Application Lead, you will lead the effort to design, build, and configure applications, acting as the primary point of contact. Your typical day will involve collaborating with various teams to ensure that application development aligns with business objectives, overseeing project timelines, and facilitating communication among stakeholders to drive project success. You will also engage in problem-solving activities, ensuring that the applications meet the required standards and specifications while fostering a collaborative environment for your team. 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.- Mentor junior team members to enhance their skills and knowledge.- Continuously assess and improve application development processes to increase efficiency. Professional & Technical Skills: - Must To Have Skills: Proficiency in Microsoft Purview.- Good To Have Skills: Experience with Collibra Data Governance.- Strong understanding of data governance principles and practices.- Experience in application design and architecture.- Familiarity with cloud-based solutions and integration techniques. Additional Information:- The candidate should have minimum 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

Project Role : Data Modeler Project Role Description : Work with key business representatives, data owners, end users, application designers and data architects to model current and new data. Must have skills : Data Modeling Techniques and Methodologies Good to have skills : NAMinimum 7.5 year(s) of experience is required Educational Qualification : 15 years full time education Summary :As a Data Modeler, you will engage with key business representatives, data owners, end users, application designers, and data architects to model both current and new data. Your typical day will involve collaborating with various stakeholders to understand their data needs, analyzing existing data structures, and designing effective data models that support business objectives. You will also be responsible for ensuring that the data models are aligned with best practices and industry standards, facilitating smooth data integration and accessibility across the organization. This role requires a proactive approach to problem-solving and a commitment to delivering high-quality data solutions that enhance decision-making processes. 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.- Facilitate workshops and meetings to gather requirements and feedback from stakeholders.- Develop and maintain comprehensive documentation of data models and architecture. Professional & Technical Skills: - Must To Have Skills: Proficiency in Data Modeling Techniques and Methodologies mainly data vault 2.0.- Good To Have Skills: Experience with data governance frameworks, snowflake warehouse/AWS- Strong understanding of relational and non-relational database systems.- Familiarity with data warehousing concepts and ETL processes.- Experience in using data modeling tools such as Erwin or IBM InfoSphere Data Architect. Additional Information:- The candidate should have minimum 7.5 years of experience in Data Modeling Techniques and Methodologies.- This position is based at any location.- A 15 years full time education is required. Qualification 15 years full time education

Project Role : Application Lead Project Role Description : Lead the effort to design, build and configure applications, acting as the primary point of contact. Must have skills : Databricks Unified Data Analytics Platform Good to have skills : NAMinimum 7.5 year(s) of experience is required Educational Qualification : 15 years full time education Summary :As an Application Lead, you will lead the effort to design, build, and configure applications, acting as the primary point of contact. Your typical day will involve collaborating with various stakeholders to gather requirements, overseeing the development process, and ensuring that the applications meet the specified needs. You will also be responsible for troubleshooting issues and providing guidance to team members, fostering a collaborative environment that encourages innovation and efficiency in application 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.- Facilitate knowledge sharing sessions to enhance team capabilities.- Mentor junior team members to support their professional growth. Professional & Technical Skills: - Must To Have Skills: Proficiency in Databricks Unified Data Analytics Platform.- Strong understanding of data integration and ETL processes.- Experience with cloud computing platforms and services.- Familiarity with data governance and compliance standards.- Ability to work with large datasets and perform data analysis. Additional Information:- The candidate should have minimum 3 years of experience in Databricks Unified Data Analytics Platform.- This position is based at our Bengaluru office.- A 15 years full time education is required. Qualification 15 years full time education

Role & responsibilities Master Data Management (MDM) Finance & Accounting About NTT DATA NTT DATA is a $30+ billion trusted global innovator of business and technology services. We serve 75% of the Fortune Global 100 and are committed to helping clients innovate, optimize and transform for long-term success. As a Global Top Employer, we have experts in more than 50 countries and a robust partner ecosystem of established and startup companies. Our services include business and technology consulting, data and artificial intelligence, industry solutions, as well as the development, implementation and management of applications, infrastructure and connectivity. We are also one of the leading providers of digital and AI infrastructure in the world. NTT DATA is part of NTT Group, which invests over $3.6 billion each year in R&D to help organizations and society move confidently and sustainably into the digital future. Visit us at nttdata.com Job brief We seek a competent Specialist to perform Master Data Management (MDM) in ERP system. This process consists of very tight timelines and multiple source systems and end systems. Our Specialist should exhibit professionalism, dedication and commitment towards timely delivery of services. This job involves MDM with respect to: Product Master creation and Maintenance Client Master creation and Maintenance Vendor Master creation and Maintenance Service Master creation and Maintenance Data Governance – Review each incoming request for duplication and completeness of data Data Quality – Review each record for correctness and completeness Preferred candidate profile Minimum Experience, Education and Certifications M.Com / B.Com ( Only Commerce back ground needed ) Requires 9+ years relevant experience Technical Skill Must have Very good Experience of Master Data Very good data analysis skills Problem resolving skills and should be a team player Team handling experience required minimum 3+ Years Working experience of MS Office and databases SAP ERP Soft Skills Good communication skills (verbal and written). Good interpersonal skills and ability to self-manage. Display good planning and organizing abilities. Demonstrate good attention to detail and deadline driven. Able to cope with stressful situations. Able to deal with different individuals at various levels in the organization. Takes own initiative and has a solutions-orientated approach. Maintains a high standard of accuracy and quality. Ability to work independently and be a knowledge expert Comfortable working with targets Patience and ability to manage stress Job Responsibilities End-to-end ownership of master data management Product Master – creation and Maintenance Client Master – creation and Maintenance Vendor Master – creation and Maintenance Service Master – creation and Maintenance Data Governance – Review each incoming request for duplication and completeness of data Data Quality – Review each record for correctness and completeness Analyze and triage missing master data issues and work with respective teams to fix the issues

Project Role : Application Lead Project Role Description : Lead the effort to design, build and configure applications, acting as the primary point of contact. Must have skills : Databricks Unified Data Analytics Platform Good to have skills : NAMinimum 5 year(s) of experience is required Educational Qualification : 15 years full time education Summary :As an Application Lead, you will lead the effort to design, build, and configure applications, acting as the primary point of contact. Your typical day will involve collaborating with various stakeholders to gather requirements, overseeing the development process, and ensuring that the applications meet the specified needs. You will also engage in problem-solving discussions with your team, providing guidance and support to ensure successful project outcomes. Your role will require you to stay updated with the latest technologies and methodologies to enhance application performance and user experience. 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.- Facilitate communication between technical teams and stakeholders to ensure alignment on project goals.- Mentor junior team members, providing them with guidance and support in their professional development. Professional & Technical Skills: - Must To Have Skills: Proficiency in Databricks Unified Data Analytics Platform.- Strong understanding of data integration and ETL processes.- Experience with cloud computing platforms and services.- Familiarity with data governance and compliance standards.- Ability to analyze and optimize application performance. Additional Information:- The candidate should have minimum 3 years of experience in Databricks Unified Data Analytics Platform.- This position is based at our Pune office.- A 15 years full time education is required. Qualification 15 years full time education

Project Role : Data Engineer Project Role Description : Design, develop and maintain data solutions for data generation, collection, and processing. Create data pipelines, ensure data quality, and implement ETL (extract, transform and load) processes to migrate and deploy data across systems. Must have skills : Databricks Unified Data Analytics Platform Good to have skills : NAMinimum 5 year(s) of experience is required Educational Qualification : 15 years full time educationTHIS DEMAND IS FOR ATCAMA . JD as UnderData Engineering skills:Knowledge of data integration, data warehousing, and data lake technologies. Data Quality and Governance skills:Experience with data quality tools, data governance frameworks, and data profiling techniques. Programming skills:Proficiency in languages like Java, Python, or SQL, depending on the specific role. Cloud computing skills:Experience with cloud platforms like AWS, Azure, or Google Cloud Platform. Problem-solving skills:Ability to troubleshoot data issues and identify solutions. As a Data Governance Practitioner, you will establish and enforce data governance policies to ensure the accuracy, integrity, and security of organizational data. Collaborate with key stakeholders to define data standards, facilitate effective data collection, storage, access, and usage; and drive data stewardship initiatives for comprehensive and effective data governance. 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 data governance strategy implementation- Develop and maintain data governance frameworks- Conduct data quality assessments Professional & Technical Skills: - Strong understanding of data governance principles- Experience in implementing data governance solutions- Knowledge of data privacy regulations- Familiarity with data quality management practices Additional Information:- The candidate should have a minimum of 5+ years of experience in Atacama Data Governance.- This position is based at our Hyderabad office.- A 15 years full time education is required. Qualification 15 years full time education

Responsibilities: Solution Design and Development: Lead the design and development of MDM solutions using Profisee, including data models, workflows, business rules, and user interfaces. Translate business requirements into technical specifications and MDM solutions. Configure and customize Profisee platform to meet specific business needs. Develop and implement data quality rules and processes within Profisee to ensure data accuracy and consistency. Design and implement data integration processes between Profisee and other enterprise systems (e.g., ERP, CRM, Data Warehouse) using various integration techniques (API, ETL, etc.). Implementation and Deployment: Participate in the full MDM implementation lifecycle, including requirements gathering, design, development, testing, deployment, and support. Develop and execute test plans and scripts to validate the functionality and performance of the MDM solution. Troubleshoot and resolve issues related to MDM data, processes, and infrastructure. Deploy and configure Profisee environments (development, test, production). Data Governance and Stewardship: Contribute to the development and enforcement of data governance policies and procedures. Work with data stewards to define data ownership and accountability. Assist in the creation and maintenance of data dictionaries and metadata repositories. Ensure compliance with data privacy regulations and security policies. Maintenance and Support: Monitor the performance and stability of the MDM environment. Provide ongoing support and maintenance for the MDM solution, including bug fixes, enhancements, and upgrades. Develop and maintain documentation for MDM processes, configurations, and procedures. Proactively identify and address potential issues related to data quality and MDM performance. Collaboration and Communication: Collaborate with business users, IT staff, and other stakeholders to understand data requirements and implement effective MDM solutions. Communicate effectively with technical and non-technical audiences. Participate in project meetings and provide regular status updates. Mentor and train junior team members on MDM best practices and Profisee platform.

Complete timely reconciliation and pay date processing for income events like dividends, coupons, and redemptions. Collaborate with external and internal partners, including global front offices, operations, and technology teams. Act as the main contact for escalations, ensuring prompt responses to stakeholders. Address system feed issues, conduct thorough investigations, and ensure resolution. Exercise sound judgment and integrity to protect the company, clients, and customers. Define and monitor KPIs and KRIs, managing team transactions to meet deadlines and quality standards. Establish data governance standards, maintain audit-ready controls, and ensure compliance with regulation Required Qualifications, Capabilities, and Skills 10+ years of relevant experience, Asset Servicing background covering either Income and Corporate action especially redemptions Analytical mindset and problem-solving skills, with the ability to identify and resolve complex operational issues Excellent judgment and decision-making skills; solutions oriented Problem solving skills - the candidate must demonstrate exceptional judgment and the ability to independently identify and escalate key issues, obtain appropriate information form further analysis, and develop actionable recommendations Teamwork skills - the candidate must be flexible in their work style and be able to work appropriately with stakeholders and colleagues at all level Ability to manage tight delivery timelines, and ensure our organization is on track to execute and deliver strategic change that meets our goals Ability to think strategically combined with strong analytical skills

PRISM (Profitability Insights Manager) vision is to be the source of truth for AWS profitability and provide Finance and the business with insights that help to guide investment decisions and optimize profitability. PRISM generated profit and loss statements across multiple intersections like customer, contract, partner, service and sales. As a data engineer in PRISM you will be responsible for integrating with finance data from upwards of 15+ systems at scale. We run complex allocation logic for our customers to provide a profitability view. We also compare the modelling with actuals and provide insights through AI. The team provides ample opportunity to innovate and solve ambiguous problems at scale 1. Deliver features in the data pipelines to meet customer needs on profitability 2. Generate actionable insights from the data so that Finance customers can do differentiated work 3. Scale the data pipeline for the ever increasing data volume 4. Ability to learn and leverage the latest data analytical tools 5. Work on the end to end experience from sourcing the data, defining the data model/architecture, implementing a reporting layer and generating analytics and insights A day in the life 1. Collaborate with stakeholders across customer finance, sales finance, service finance, deal modelling teams 2. Constantly strive to improve the efficiency of the data pipeline. e.g. Reduce the time taken to load data, ability to define the data model that simplifies visualization, adhere to data governance frameworks About the team PRISM (Profitability Insights Manager) is the profit and loss (P&L) statement solution for AWS. The web-based interface currently enables AWS Finance users to quickly generate customer and sales P&Ls. In the future, users will also be able to generate P&Ls across product and infrastructure region dimensions, delivering a detailed historical P&L for any customer, territory, or product intersection. PRISM is important because it provides AWS Finance with visibility into the financial performance of all customers, whether theyre on public or private pricing. Private pricing means offering financial incentives to specific customers, and has become an important selling level for AWS. A granular, period-over-period P&L gives analysts and leaders the data they need to drive insights that impact the business. 1+ years of data engineering experience Experience with data modeling, warehousing and building ETL pipelines Experience with one or more query language (e.g., SQL, PL/SQL, DDL, MDX, HiveQL, SparkSQL, Scala) Experience with one or more scripting language (e.g., Python, KornShell) Experience with big data technologies such as: Hadoop, Hive, Spark, EMR Experience with any ETL tool like, Informatica, ODI, SSIS, BODI, Datastage, etc.

Location: Bangalore Experience: 3 5 Years Notice Period: Immediate to 15 Days CTC: 10 20 LPA Role Overview: We are seeking a skilled and innovative LLM Engineer to design, implement, and optimize advanced GenAI solutions across drug discovery, clinical development, and manufacturing. The ideal candidate will have hands-on experience with LLMs, deep learning, MLOps, and agentic frameworks, with a strong focus on building scalable AI infrastructure and production-ready ML pipelines. Key Responsibilities: Design and implement LLM training and fine-tuning pipelines (e.g., using DeepSpeed, PEFT, RLHF). Collaborate with data scientists to customize and deploy LLMs in use cases such as target discovery, clinical trial optimization, and molecule design . Build scalable, reusable backend systems and GenAI agentic frameworks (AutoGen, LangGraph) to power R&D applications. Develop and maintain robust evaluation frameworks , telemetry systems, and performance monitoring tools. Operationalize models on Azure and GCP with MLOps best practices, working closely with the DevSecOps team. Design data pipelines to support rapid ML experimentation and model lifecycle management. Evaluate and integrate third-party GenAI tools and co-develop solutions with external technology partners. Required Qualifications: Bachelor s degree in Computer Science, Engineering, or a related quantitative field. 3-5 years of experience in ML/AI engineering, with a strong focus on LLMs and GenAI . Proficiency in Python and frameworks such as PyTorch or TensorFlow . Experience with LLM technologies , including embedding techniques, RAG, fine-tuning, pre-training , and evaluation benchmarks . Hands-on experience with agentic AI frameworks like AutoGen and LangGraph . Solid experience in MLOps , model deployment, and cloud infrastructure (Azure, GCP). Full-stack engineering mindset with familiarity in CI/CD, testing, code reviews , and scalable software development. Strong problem-solving abilities and communication skills. Preferred: Experience in life sciences, healthcare, or pharma R&D applications is a plus. Familiarity with data governance, model interpretability, and responsible AI practices.

Profile -PowerBi Developer Exp- 4 to 5 years for bhandup location Exp- 8 to 10 years for noida location Budget Details- for 4 to 5 exp (4.8lpa) for 8to 10exp- (10lpa) Notice Period- Immediate or 15 days skills and Responsibilities: 1. Proficiency in Power BI: You should be able to create, publish, and maintain Power BI reports and dashboards. 2. DAX and Power Query: Youll likely be writing DAX formulas and using Power Query for data transformation. 3. Data Modeling: Experience in data modeling and integrating reporting components from multiple data sources is expected. 4. Data Analysis: You should be able to gather, analyze, and present data effectively. 5. SQL: Familiarity with SQL and data warehousing concepts is highly beneficial. 6. ETL Processes: Understanding ETL processes is also valuable. 7. Project Management: Experienced professionals may be involved in project management aspects. 8. Emerging Trends: Staying updated with emerging trends like AI/ML integration, cloud-based BI, and data visualization techniques is crucial. 9. Data Governance and Security:Understanding data governance and security practices is increasingly important. Key Skills - Changes, Enhancement And New Dashboard Building In QLIKVIEW And QLIKSENCE PowerBI Application Apply Now Apply For Job

Must have a solid working knowledge of AWS database & data services and the Power BI stack Must have exp. in gathering requirements, modeling data, designing & supporting high-performance big data backend and data visualization systems Exp. in utilizing methodologies & platform stacks like Map Reduce, Spark, Streaming solutions (like Kafka, Kinesis), ETL systems (like Glue, Firehose), storage (like S3), warehouse stacks (like Redshift, DynamoDB) and equivalent open source stacks Exp. in designing & implementing solutions using visualization technologies like Power BI, Quick Sight Exp. in Maintain and continuously groom the product backlog, the release pipeline, and the product roadmap Capture problem statement and opportunities raised by customers as demand items, epics & stories. Lead database physical design sessions with the engineers in the team Lead quality assurance, load test of the solution to ensure customer experience is maintained. Support data governance and data quality (cleansing) Efforts. Aws Database, Big Data, Data Services, Powerbi Stack

We are seeking an experienced Data Modeler with a strong background in real estate, investment management, and master data management. The ideal candidate will be responsible for designing, implementing, and maintaining data models that support our business objectives. This role requires a deep understanding of data architecture, data integration, and database optimization. Key Responsibilities: Design and Develop Data Models: Create conceptual, logical, and physical data models to support business requirements in the real estate and investment management domains. Master Data Management (MDM): Develop and manage master data solutions to ensure data consistency, accuracy, and reliability across the organization. Data Integration: Integrate data from various sources, ensuring consistency and accuracy across systems. Data Mapping: Map data elements to business requirements and create detailed data mapping documents. Collaboration: Work closely with data analysts, database administrators, and business stakeholders to understand data needs and deliver solutions. Documentation: Maintain comprehensive documentation of data models, data flows, and data dictionaries. Data Governance: Ensure data models comply with data governance and security policies. Qualifications: Experience: Overall 12+ Yrs Minimum of 5 years of experience in data modeling, with a focus on real estate, investment management, and master data management. Technical Skills: Proficiency in SQL, data modeling tools (e.g., ER/Studio, ERwin), and database management systems (e.g., Oracle, SQL Server). Domain Expertise: In-depth knowledge of real estate and investment management processes and data requirements. MDM Expertise: Strong experience in master data management, including data governance, data quality, and data stewardship. Analytical Skills: Strong analytical and problem-solving skills. Communication: Excellent verbal and written communication skills. Preferred Skills: Experience with data warehousing and business intelligence tools. Familiarity with cloud-based data solutions (e.g., AWS, Azure). Knowledge of data governance frameworks and best practices.

About the Role We re looking for a Senior Azure Data Engineer with deep expertise in Databricks and modern Azure data engineering tools. You ll design, build, and optimize scalable data pipelines and solutions, leveraging advanced features of Databricks and Azure to deliver high-quality, secure, and efficient data platforms. Key Skills & Expertise Strong hands-on experience with Databricks , including: Databricks Notebooks (Python, SQL) Unity Catalog for governance & security Advanced Databricks performance optimization techniques Best practices for cost and compute efficiency Proficient in Azure Data Factory (ADF) for orchestrating ETL workflows. Excellent programming in Python , with advanced PySpark skills. Solid understanding of Apache Spark internals & tuning . Expertise in SQL writing complex queries, optimizing joins, working with large datasets. Familiar with data warehousing principles & modeling techniques (e.g., star/snowflake schemas). Knowledge of Azure data services: Data Lake Storage , Synapse Analytics , SQL Database . Experience implementing data governance , access control, and data lineage . What You ll Do Design and implement robust, scalable, and efficient data pipelines using Databricks and ADF. Leverage Unity Catalog to secure and govern sensitive data. Optimize Databricks jobs & queries for speed, cost, and scalability. Build and maintain Delta Lake tables and data models suitable for analytics and BI. Collaborate with stakeholders to define data needs, provide solutions, and deliver business value. Automate manual workflows, improve reliability, and ensure data quality. Troubleshoot and monitor pipelines to guarantee uptime and data accuracy. Mentor junior engineers and foster best practices in Databricks & Azure data engineering. Preferred Background 5+ years in data engineering with a focus on Azure. Demonstrated ability to work with large-scale distributed systems . Strong communication and teamwork skills. Certifications in Databricks and/or Azure Data Engineering are a plus.

Key Responsibilities: Team Leadership: Lead and mentor a team of Azure Data Engineers, providing technical guidance and support. Foster a collaborative and innovative team environment. Conduct regular performance reviews and set development goals for team members. Organize training sessions to enhance team skills and technical capabilities. Azure Data Platform: Design, implement, and optimize scalable data solutions using Azure data services such as Azure Databricks, Azure Data Factory, Azure SQL Database, and Azure Synapse Analytics. Ensure data engineering best practices and data governance are followed. Stay up-to-date with Azure data technologies and recommend improvements to enhance data processing capabilities. Data Architecture: Collaborate with data architects to design efficient and scalable data architectures. Define data modeling standards and ensure data integrity, security, and governance compliance. Project Management: Work with project managers to define project scope, goals, and deliverables. Develop project timelines, allocate resources, and track progress. Identify and mitigate risks to ensure successful project delivery. Collaboration & Communication: Collaborate with cross-functional teams including data scientists, analysts, and business stakeholders to deliver data-driven solutions. Communicate effectively with stakeholders to understand requirements and provide updates. Qualifications: Bachelor's or Master's degree in Computer Science, Information Technology, or a related field. Proven experience as a Team Lead or Manager in data engineering. Extensive experience with Azure data services and cloud technologies. Expertise in Azure Databricks, PySpark, and SQL. Strong understanding of data engineering best practices, data modeling, and ETL processes. Experience with agile development methodologies. Certifications in Azure data services (preferred). Preferred Skills: Experience with big data technologies and data warehousing solutions. Familiarity with industry standards and compliance requirements. Ability to lead and mentor a team.