1386 Data Governance Jobs - Page 35

"NTT DATA- Hiring for Master Data Management (MDM) Finance & Accounting- Looking for Immediate Joiners " Work Location- Gurgaon Work Mode- Hybrid 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. Job Responsibilities End-to-end ownership of master data management Analyze and triage missing master data issues and work with respective teams to fix the issues. 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 Minimum Experience, Education and Certifications M.Com / B.Com /CA/ICWA Requires 3-6 years relevant experience Technical Skill Must have Very good knowledge of relevant usage of Master Data Very good data analysis skills Problem resolving skills and should be a team player Working knowledge 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

Career Category Information Systems Job Description ABOUT AMGEN Amgen harnesses the best of biology and technology to fight the world s toughest diseases and make people s lives easier, fuller and longer. We discover, develop, manufacture and deliver innovative medicines to help millions of patients. Amgen helped establish the biotechnology industry more than 40 years ago and remains on the cutting-edge of innovation, using technology and human genetic data to push beyond what s known today. ABOUT THE ROLE Role Description: We are looking for an experienced SAP Master Data Governance (MDG) Techno-functional to co-design and drive the implementation of SAP Master Data Governance solutions. In this role, you will architect scalable, innovative systems, provide expert technical guidance, configuration, development and maintenance that align with Amgens strategic objectives. You will collaborate closely with the MDG Product Owner, Technical, and other SAP S/4 Functional and technical architects and other functional MDG teams to implement, enhance and optimize MDG Master data replications and Integrations, ensuring SAP MDG delivers maximum value across the organization. Roles & Responsibilities: Collaborate with business collaborators to understand data governance requirements and translate them into effective MDG solutions. Configure, and implement SAP MDG solutions for MDG -Material or Business Partner or Finance. Provide technical leadership and guidance to development teams, ensuring alignment to best practices and standards. Configure and customize SAP MDG on SAP S/4 Hana accordance with the MDG strategy. Develop and maintain data models, workflows, and business rules within the MDG framework. Collaborate with multi-functional teams to integrate MDG with other SAP modules and external systems. Ensure compliance with data governance policies and standards. Participate in project planning, estimation, and risk assessment. Mentor junior team members and contribute to knowledge sharing. Create comprehensive technical documentation, including design specifications, architecture diagrams, and user guides. Conduct training sessions for key partners and end-users as needed. Follow Agile software development methods to design, build, implement, and deploy. Functional Skills: Must-Have Skills: Experience in atleast 2 SAP MDG Implementation. Experience with atleast 2 of the MDG Data Models and preferably custom data models Functional understanding of SAP Master Data and MDG Out of the box solution. Technical expertise to build and develop workflows, validations, replication, etc. Soft Skills: Strong analytical abilities to assess and improve master data processes and solutions. Excellent verbal and written communication skills, with the ability to convey complex data concepts clearly to technical and non-technical collaborators. Effective problem-solving skills to address data-related issues and implement scalable solutions. Ability to work effectively with global, virtual teams Basic Qualifications: 6 to 9 years of Business, Engineering, IT or related field experience Expertise in the implementation of SAP MDG solution (configuration, design, build, test and deploy) Deep understanding on key SAP MDG concepts - Data Modeling, UI Modelling, Process Modelling, Governance Process, Mass Processing, DRF, DIF, BRF+ and Consolidation Features + DQM. Experience in configuring rule-based Workflows (serial, parallel and combination) and User interface modelling. EQUAL OPPORTUNITY STATEMENT Amgen is an Equal Opportunity employer and will consider you without regard to your race, color, religion, sex, sexual orientation, gender identity, national origin, protected veteran status, or disability status. We will ensure that individuals with disabilities are provided with reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment. Please contact us to request and accommodation. .

Career Category Information Systems Job Description ABOUT AMGEN Amgen harnesses the best of biology and technology to fight the world s toughest diseases and make people s lives easier, fuller and longer. We discover, develop, manufacture and deliver innovative medicines to help millions of patients. Amgen helped establish the biotechnology industry more than 40 years ago and remains on the cutting-edge of innovation, using technology and human genetic data to push beyond what s known today. ABOUT THE ROLE Role Description: We are looking for an experienced SAP Master Data Governance (MDG) consultant who can support the implementation of SAP Master Data Governance solutions. In this role, you will innovative systems, provide expert technical guidance, configuration, development and maintenance that align with Amgens strategic objectives. You will collaborate closely with Product Owner, Functional, Technical, and other SAP S/4 Functional and technical architects and other functional MDG teams to implement, enhance and optimize MDG Master data governance, quality, replications and Integrations, ensuring SAP MDG delivers maximum value across the organization. Roles & Responsibilities: Collaborate with Product Owners, functional and technical team to understand and deliver data governance requirements Build and implement SAP MDG solutions for MDG. Configure and customize SAP MDG on SAP S/4 Hana accordance with the MDG strategy. Develop and maintain data models, workflows, and business rules within the MDG framework. Collaborate with multi-functional teams to integrate MDG with other SAP modules and external systems. Create comprehensive technical documentation, including design specifications, architecture diagrams, and user guides. Follow Agile software development methods to design, build, implement, and deploy. Functional Skills: Must-Have Skills: Experience in atleast 2 SAP MDG Implementation. Experience with atleast 2 of the MDG Data Models and preferably custom data models Functional understanding of SAP Master Data and MDG Out of the box solution. Technical expertise to build and develop workflows, validations, replication, etc. Soft Skills: Strong analytical abilities to assess and improve master data processes and solutions. Excellent verbal and written communication skills, with the ability to convey complex data concepts clearly to technical and non-technical collaborators. Effective problem-solving skills to address data-related issues and implement scalable solutions. Ability to work effectively with global, virtual teams. Basic Qualifications: 3 to 6 years of Business, Engineering, IT or related field experience Expertise in the implementation of SAP MDG solution (configuration, design, build, test and deploy) Deep understanding on key SAP MDG concepts - Data Modeling, UI Modelling, Process Modelling, Governance Process, Mass Processing, DRF, DIF, BRF+ and Consolidation Features + DQM. Experience in configuring rule-based Workflows (serial, parallel and combination) and User interface modelling. EQUAL OPPORTUNITY STATEMENT Amgen is an Equal Opportunity employer and will consider you without regard to your race, color, religion, sex, sexual orientation, gender identity, national origin, protected veteran status, or disability status. We will ensure that individuals with disabilities are provided with reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment. Please contact us to request and accommodation. .

Overview About us We are an integral part of Annalect Global and Omnicom Group, one of the largest media and advertising agency holding companies in the world. Omnicom’s branded networks and numerous specialty firms provide advertising, strategic media planning and buying, digital and interactive marketing, direct and promotional marketing, public relations, and other specialty communications services. Our agency brands are consistently recognized as being among the world’s creative best. Annalect India plays a key role for our group companies and global agencies by providing stellar products and services in areas of Creative Services, Technology, Marketing Science (data & analytics), Market Research, Business Support Services, Media Services, Consulting & Advisory Services. We currently have 2500+ awesome colleagues (in Annalect India) who are committed to solve our clients’ pressing business issues. We are growing rapidly and looking for talented professionals like you to be part of this journey. Let us build this, together . Responsibilities This is an exciting role and would entail you to Requirement gathering and evaluation of clients’ business situations in order to implement appropriate analytic solutions. Designs, generates and manages reporting frameworks that provide insight as to the performance of clients’ marketing activities across multiple channels. Be the single point of contact on anything data & analytics related to the project. QA process: Maintain, create and re-view QA plans for deliverables to align with the requirements, identify discrepancies if any and troubleshoot issues. Prioritize tasks and proactively manage workload to ensure timely delivery with high accuracy. Active contribution to project planning and scheduling. Create and maintain project specific documents such as process / quality / learning documents. Should be able to drive conversation with team, client and business stake holders You will be working closely with Our global marketing agency teams. You will also be closely collaborating with Manager and colleagues within the Data Operations & Reporting function Qualifications This may be the right role for you if you have 6 to 7 years’ experience in data management and analysis in Media or relevant domain with strong problem-solving ability. Data management and reporting using different tools like Datorama & SQL. Mandatory hands on knowledge on Datorama is required Strong working knowledge of Excel is mandatory. Strong knowledge on the media metrics, custom calculations, metrics co-relation and data governance. Any other Visualization tool like Power BI /Tableau is good to have. Knowledge of BI tools and Python/R etc good-to-have Ability to identify and help determine key performance indicators for the clients. Experience in heading a team of 4-7 members, with focus towards coaching the team on domain and technology, undertaking their performance management and providing guidance for their career Strong written and verbal communication skills. Familiarity working with large data sets and creating cohesive stories. Able to work successfully with teams, handling multiple projects and meeting timelines. Maintaining positive client and vendor relationships. Presentation skills using MS Power Point or any presentation platforms

MDG SAP production, data accuracy, consistency, integrity SAP modules. Develop, implement data governance policies, procedures data validation. Training and support to end-users on master data processes Required Candidate profile 5+ yrs' exp with SAP Structures / Master data topics. MDG SAP Master Data Management SAP MM Expertise SAP EWM Expertise Procurement Management Business Process Analysis Inventory Management

MKS Vision Pvt Ltd About us: MKS Vision is a full spectrum of Information Technology and engineering service provider. We exist to provide increased efficiencies and flexibility that accelerate business performance by adapting the latest cutting-edge technologies for our customers. Our services bring tangible benefits to our customers. MKS Vision will assist you in adopting global services. Website: https://www.mksvision.com/ Job Location: Coimbatore/Hyderabad Below are the roles and associated skills we are looking for: Azure Data Engineer Knowledge of lending data systems and data structures (credit applications, loan origination, collections, payments, dialers, credit bureau data) Proficient in SQL for ETL Experience in the use of tools for ETL Scheduling / Automation and Power BI. Proficient in Data standardization and cleanup, ensure data integrity and diagnostic Strong in Database schema design and normalization Knowledge of cloud-based systems (Azure) for data warehouse building Intermediate knowledge of Python for data cleanup and transformation Knowledge of data documentation and exception/error handling and remediation Ability to build / test / deploy APIs to ingest data from internal and external databases Proficient in JSON, XML and text formats to ingest, parse, transform and load databases Preferred minimum 7+ years of experience, BS degree on computer science, management information systems, statistics, data science, etc., or similar experience.

We are seeking a detail-oriented and proactive Data Analyst to join our team, focusing on data governance enablement and control. The ideal candidate will support the development and implementation of data governance frameworks, ensure data quality, and promote data management best practices across the organization. This role focuses on ensuring data accuracy, monitoring data handling processes, and contributing to the continuous improvement of data control governance and change management practices. The ideal candidate will possess strong analytical skills, attention to detail, and a passion for problem-solving with good project management skills. Acts as a liaison among business stakeholders to elicit, analyse, communicate, and validate requirements for changes to business products; processes and systems. Collects, analyses and synthesizes data to document requirements, ensuring needs of stakeholder are met. Understands product needs in the context of internal & external requirements and/or architecture development information. About the Role : Elicits and documents client business requirements. Develops and improves business processes within the technology and business organizations, understanding business requirements, specifying and analyzing these to a sufficient level of detail to ensure clarity of definition. Conduct preliminary Data Risk and Control Assessments to identify potential issues and suggest remediation steps. Monitor and ensure compliance with data control/governance standards and regulatory requirements. Support data handling practices to ensure compliance with relevant laws, regulations, and internal guidelines. Manage data retention and disposal processes to ensure compliance with legal and business requirements. Support and monitor data security measures to protect sensitive information. Assist in refresh to Data control, governance Policies and Procedures, contributing insights and updates for process improvements. Analyse and monitor in-scope data questions, issues, and requests, ensuring timely and accurate resolutions. Analyze data to identify trends, patterns, and anomalies that impact data quality and governance. Collaborate with data stewards and business units to promote data control/governance best practices. Provide training and support to employees on data governance and data management practices. Create and maintain dashboards and reports to track data governance metrics and compliance. Participate in data governance working groups and ensure escalations of unresolved issues or roadblocks Ensures change management and communication of change to team is done in a systematic way for medium level projects. Implements improvements to process or product as directed by management. Develops a strong awareness and understanding of Thomson Reuters technologies, products, and services in assigned area. About you : Bachelors degree in Information Management, Computer Science, Business Administration, or a related field. Proven experience as a Data Analyst or in a similar role, with a focus on data control and governance with 2-5 years of experience. Proficiency in data analysis tools such as SQL, Excel, and BI tools (e.g., Tableau, Power BI, Alteryx etc). Experience with data and governance frameworks and analytics tools (e.g., Collibra, Alation, Atlan, AI/BI Tools). Thorough understanding of data pipeline and architecture and system infrastructures Strong understanding of data control/governance frameworks and best practices. Excellent analytical, organizational, and problem-solving skills Strong communication and interpersonal skills, with the ability to work collaboratively in a team environment. Ability to work independently and manage multiple tasks simultaneously. Knowledge of data privacy regulations (e.g., GDPR, CCPA) is a plus. Key Competencies : Attention to Detail : Ensures accuracy and thoroughness in data management practices. Analytical Skills : Strong ability to analyze data and identify issues related to data quality and governance. Communication : Excellent ability to communicate data governance policies and procedures clearly. Technical Proficiency : Proficiency in data analysis tools and technologies. Collaboration : Ability to work effectively with cross-functional teams and stakeholders. Success Metrics Compliance Rate Criteria : Ensure compliance with data governance policies and regulatory requirements. Measurement : 95% Percentage of compliance with data governance standards and regulations. Data Governance Adoption Criteria : Promote and achieve widespread adoption of data governance practices. Measurement : 80% Percentage of business units adopting data governance policies and procedures. Issue Resolution Time Criteria : Resolve data governance issues promptly. Measurement : ~48-72 hours - Average time taken to resolve data and governance issues. This role is critical in ensuring that our data control and governance practices are robust, compliant, and aligned with our strategic goals. If you are passionate about data governance and have a proven track record in data management, we encourage you to apply.

We are seeking a motivated Manager of AI Enablement to join our Data and Analytics organization. In this role, you will promote a culture of Responsible AI across the enterprise, ensuring governance and ethical data management in all business units. You will lead AI risk management, collaborate with cross-functional teams, and integrate governance into the AI lifecycle. Your strategic thinking will enhance efficiency and optimize workflows, while your leadership will explore new AI technologies and manage proof of concepts to keep the organization competitive. Responsibilities include monitoring AI models for responsible use, equipping teams with best practices, empowering staff, and ensuring the right talent is onboarded for AI initiatives. You will coordinate with our Data and Model Stewards Network to implement and monitor Model Policies and Ethics Frameworks across key domains. This role also involves working on AI ethics research projects and using AI to enhance the organization's efficiency and optimize workflow. This role is crucial in upholding regulatory standards and mitigating AI-related risks, contributing to the future of AI governance and enablement. About the Role In this opportunity as Manager, AI Enablement , you will: As the Manager of AI Enablement, you will play a critical role in our AI Enablement team within the Data and Analytics organization. This position is vital in embedding responsible AI practices across all business units, ensuring that our AI initiatives are innovative, ethically sound, and compliant with governance standards. You will collaborate with cross-functional teams to drive AI risk management and help the organization stay ahead of market trends through strategic AI implementations. Champion the development of a culture that values Responsible AI and data across the enterprise. Oversee AI risk management processes and collaborate closely with cross-functional teams. Think creatively about using AI to increase organizational efficiency and optimize workflow. Explore new AI technologies and work with vendors or partners on proof of concepts and implementations. Monitor AI models for responsible considerations and equip business functions with responsible AI development and deployment practices. Coordinate and collaborate with our distributed Data and Model Stewards Network. Define, implement, and monitor Model Policies, Standards, and Ethics Framework across critical business domains. About You You're a fit for the role of Manager of AI Enablement if your background includes: Experience in AI governance, risk management, and validation. Strong understanding of ethical considerations in AI and data management. Proven leadership skills with experience in managing cross-functional teams. Excellent communication and collaboration skills. Ability to think strategically and drive innovation within an organization. Experience in implementing AI technologies and managing proof of concepts. Experience working with vendors and partners in AI technology implementations. Familiarity with regulatory standards related to AI and data governance. Advanced degree in a relevant field such as Computer Science, Data Science, or AI. Join us and be a part of a team that is shaping the future of AI governance and enablement!

Manage CMMS master data, asset hierarchies, preventive maintenance plans, user roles, configuration changes, and digital tool support (JDE, Maximo, SAP) to ensure maintenance data quality and asset reliability in refinery and LNG assets. Required Candidate profile 5–15 years’ experience in CMMS systems (JDE mandatory), master data management, and maintenance workflows in complex industrial facilities (LNG, refinery, petrochemical).

We are seeking an experienced Director to lead a team responsible for the development and maintenance of our Connected Vehicle Data. The ideal candidate will have a strong technical background in data and/or software engineering, along with proven leadership and management skills. This role requires the ability to design and code streaming solutions, prioritize team tasks, make timely decisions, and guide the team to deliver high-quality results. The leader must be knowledgeable in data governance, customer consent, and security standards. Qualifications Required: Minimum - Bachelor s Degree in Computer Science, Information Technology, Information Systems, or Data Analytics. Preferred - Master s Degree in highly technical field - computer science, mathematics, physics. 15+ years of experience in data engineering, cloud platforms, or enterprise-scale data management, with a minimum of 5 years in connected/streaming vehicle platforms. 5+ years experience leading a software/data engineering team. Expertise in one of the following public cloud environments: Amazon Web Services, Google Cloud Platform, or Microsoft Azure. Expert knowledge and hands on experience in DevOps and SDLC. Monitor and optimize cost and compute for processes in GCP technologies (e.g., BigQuery, Dataflow, Cloud Run, DataProc). Manage and scale serverless applications and clusters, optimizing resource utilization, and implementing monitoring and logging strategies. Expertise in streaming technologies (Kafka, Pub/Sub) and OpenShift, managing high-throughput topics, message ordering, and ensuring data consistency and durability. Why Join Ford Be at the forefront of Ford s data and AI transformation , influencing how data drives business decisions. Work in a fast-paced, innovation-driven environment with cutting-edge technology and industry-leading experts . Enjoy a culture that values collaboration, inclusion, and career development . Competitive compensation, benefits, and opportunities for professional growth. Join Us in Shaping the Future of Data at Ford! Responsibilities: Lead and mentor a high-performing team of local and remote data engineers. Prioritize team workload, allocate tasks effectively, and ensure team members have the resources to succeed. Provide technical expertise and guidance to the team. Evaluate and mentor adherence to coding standards, best practices, and architectural guidelines. Oversee the design, development, maintenance, scalability, reliability, and performance of the connected vehicle data platform pipelines and architecture. Contribute to the long-term strategic direction of the Connected Vehicle Data Platform with a focus on enterprise use. Enforce and ensure data quality, data governance, and security standards. Collaborate with Data Program Management to prioritize and implement various business customers requests and logic into data assets with optimized design and code development. Collaborate to identify and consolidate common tasks across teams to improve efficiency and reduce redundancy. Communicate decisions effectively and transparently to internal and external customers. Stay updated on industry trends and emerging technologies to inform technical decisions.

Job Title: Data Analyst Job Location: Gurgaon Educational Qualification: B.E / B.Tech with Minimum 60 % marks Experience : 3 - 5 Years Role: Data visualization expert Responsibilities: Design and develop interactive and visually appealing dashboards and reports to support decision-making processes. Collaborate with data scientists, analysts, and business stakeholders to understand data requirements and translate them into effective visualizations. Utilize various data visualization tools and techniques to present data in a clear and concise manner. Ensure data accuracy and integrity in all visualizations. Stay updated with the latest trends and best practices in data visualization and automotive industry analytics. Provide training and support to team members on data visualization tools and techniques. Work with large datasets to extract meaningful insights and present them to non-technical stakeholders. Optimize visualizations for performance and usability. Participate in data governance and quality assurance processes. Contribute to the development of data visualization standards and guidelines Technical Skills / Experience ESSENTIALS 1. Proficiency in Data Visualization Tools : Expertise in tools such as Tableau, Power BI including knowledge of DAX expressions 2. Strong Analytical Skills : Ability to analyze complex datasets and derive actionable insights. 3. Automotive Industry Knowledge : Understanding of automotive industry trends, metrics, and data sources. 4. Technical Proficiency : Experience with python, for data manipulation and analysis. 5. Experience with Big Data Technologies : Familiarity with Hadoop, Spark, or similar technologies 6. Attention to Detail : High level of accuracy and attention to detail in data representation. 7. Communication Skills : Excellent verbal and written communication skills to convey complex information clearly. 8. Problem-Solving Skills : Strong problem-solving abilities to address data-related challenges. 9. Creativity : Ability to create innovative and engaging visualizations. 10. Collaboration : Strong team player with the ability to work collaboratively with cross-functional teams. 11. Project Management : Ability to manage multiple projects and meet deadlines. DESIRABLES 1. Knowledge of Machine Learning : Understanding of machine learning concepts and their application in data visualization. 2. Experience in UX/UI Design : Skills in user experience and interface design to enhance visualization usability. 3. Certification in Data Visualization : Relevant certifications such as Tableau Desktop Specialist or Power BI Certification. 4. Experience with Cloud Platforms : Familiarity with cloud platforms like AWS, Azure, or Google Cloud for data storage and processing.

JD for CDP Specialist As a CDP Specialist, you willbe responsible for building, optimizing, and managing a robust customer data ecosystem to support personalized marketing strategies, analytics, and data-driven decision-making. The role demands technical expertise, and hands-on development skills to implement and maintain the CDP infrastructure. Responsibilities: Lead the implementation and configuration of the Customer Data Platform, ensuring proper integration with marketing technologies. Oversee the collection, organization, and maintenance of customer data within the CDP, ensuring it is accurate, complete, and up-to-date. Implement data governance protocols to maintain data quality, consistency, and compliance with regulatory standards. Leverage the CDP to create highly targeted and segmented customer groups based on behaviors, demographics, and past interactions. Collaborate with marketing teams to ensure the effective use of customer segments for email, social, web, and other marketing channels. Use and implement ML models on CDP platform to derive actionable insights from customer data stored in the CDP. Develop predictive analytics models to enhance customer segmentation, improve personalization strategies, and drive dynamic pricing models. Implement recommendations and personalization in marketing campaigns across email, social media, web, and app channels. Leverage powered tools to predict customer behaviors, optimize campaigns, and recommend relevant content or products to customers. Qualifications: Education: Bachelor s degree in Marketing, Data Science, Computer Science, Business Analytics, or a related field. A Masters degree is a plus. Experience: 2-6 years of experience working with Customer Data Platforms, AI/ML-driven tools, and marketing technologies. Technical Skills: Proficiency in CDP platforms such as Adobe Experience Platform, or similar. Strong understanding of AI/ML algorithms, predictive analytics, and ML business models powered. Experience in tools like Python, R, or similar for AI model development.

ZEISS in India ZEISS in India is headquartered in Bengaluru and present in the fields of Industrial Quality Solutions, Research Microscopy Solutions, Medical Technology, Vision Care and Sports Cine Optics. ZEISS India has 3 production facilities, RD center, Global IT services and about 40 Sales Service offices in almost all Tier I and Tier II cities in India. With 2200+ employees and continued investments over 25 years in India, ZEISS success story in India is continuing at a rapid pace. Further information at ZEISS India . As a Data Platform Engineer, you will play a crucial role in developing, maintaining, and optimizing our data platform. Your expertise will drive the evolution of our platform, enabling seamless end-to-end transformation from raw data to insightful data products shared across the organization. You will collaborate closely with data product teams to understand their needs, challenges, and opportunities, ensuring the platform supports a wide range of data initiatives. You will also contribute to the architecture and design decisions of the platform, aligning with the principles of data mesh to promote domain-oriented decentralized data ownership and architecture. As a data platform engineer you are also expected to participate in continuous learning and training to stay updated on the latest trends and technologies in data platform development. A Graduate degree in Computer science, Software engineering with 4-6 years of experience as a Data Engineer or in a similar role. Strong proficiency in ETL, Data processing using SQL . Extensive experience working in the Databricks environment. Proven experience in data warehousing, data modeling, data architecture, and building data pipelines. Hands-on experience with Azure Data Factory. Excellent problem-solving skills and the ability to troubleshoot data-related issues. Strong communication and collaboration skills to work effectively with global teams. A proactive mindset and willingness to learn new technologies and methodologies. Experience with cloud platform- Microsoft Azure. Familiarity with other big data technologies and tools. Understanding of data governance and security best practices. Develop relationships and processes with finance, sales, business operations, Analytics and other cross-functional stakeholders Knowledge of Agile and DevOps practices is highly appreciated. Experience in FinOps is added advantage. Your ZEISS Recruiting Team: Itishree Pani

About Us: Narwal, with its Global Delivery Model, strategically expands its reach across North America, the United Kingdom, and an offshore development centre in India. Delivery cutting edge AI, Data and quality engineering solutions and consistently surpassing expectations, Narwal has achieved remarkable triple-digit growth rates year after year, earning accolades such as Inc. 5000, Best IT Services Company, Best Data Technology Company, and Partner of the Year with Tricentis. Our Vision : To be an expert in AI, data, and quality engineering transformations, bold in our thinking, and authentic in our relationships. Key Skills : O2C (Order to Cash) / Sales and Distribution P2P (Procure to Pay) S2D (Schedule to Delivery) Optional: R2R (Record to Report), GTS (Global Trade Services), and MDG (Master Data Governance) Additional qualifications : At least 5 years of experience working on relevant SAP projects Hands-on experience with SAP manual testing and execution of test cases 7 to 12 years of professional experience (flexible) Qualifications B. E / B. Tech / MCA Why Narwal Opportunity to shape the future of a rapidly growing company. Competitive salary and benefits package. A supportive and inclusive company culture. Collaborative and innovative work environment. Access to professional development and growth opportunities. Certified as a Great Place to Work Fully Remote Organization Narwal is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees. For more information please visit: https://www.narwalinc.com/

1. Building and Maintaining Data Pipelines Design and implement robust, scalable, and efficient data pipelines to process and transform raw data into actionable insights. Develop and optimize data extraction, transformation, and loading (ETL) processes using modern tools and platforms. Ensure seamless integration of diverse data sources, including structured and unstructured datasets. 2. Data Architecture Design Collaborate with stakeholders to define technical requirements for data storage, retrieval, and processing. Implement best practices for database design, data modeling, and performance optimization. Contribute to the development of enterprise-wide data strategy and architecture. 3. Cloud Data Integration Deploy and maintain cloud-based data solutions, with a preference for platforms like AWS, Azure, or GCP. Ensure efficient utilization of cloud resources to achieve cost-effectiveness and scalability. Understand and apply basic cloud governance and security principles. 4. Data Governance and Quality Establish data governance frameworks to ensure the reliability, security, and accuracy of data. Conduct regular data audits and validations to maintain data quality. Implement automated monitoring systems for anomaly detection and issue resolution.

Director, Data Strategy and Governance What you will do The Director of Data Strategy and Governance will operationalize Amgen’s data governance vision across the enterprise to accelerate AI innovative solutions to better serve patients. The Director will be responsible for translating the direction from the Enterprise Data Council into operational level impact deliverables, data governance policies and standards. ?he Director will partner with senior leadership to align data initiatives with business goals. Overall accountability for the Enterprise Data Governance program. Coordinates with data and process owners to interpret Enterprise Data Council objectives and principles to drive data governance across Amgen. Manage the team of Data Strategy & Governance Leads, which specializes in specific domains. Lead multi-functional Data Governance Forums. Drive compliance and create tactical level guides for implementation as necessary (GDPR, CCPA, etc.) Coordinate with Enterprise Data Council, data and process owners to define and monitor metrics. Escalation point of contact for operational level data and process issues Resolve or escalate data asset, process, and governance issues through interpretation of Enterprise Data Council objectives. Responsible for rolling out and increase adopting of the Enterprise Data Governance Framework, aligning broader partner community with their data governance needs, including data quality, data access controls, compliance with privacy and security regulations, foundational master data management, data sharing, communication and change management. Maintain documentation and ensures their organization are the experts on data definitions, data standards, data flows, legacy data structures / hierarchies, common data models, data harmonization etc. Identify areas for data governance improvements and help to resolve data quality problems through the appropriate choice of error detection and correction, process control and improvement, or process design changes Developing metrics to measure effectiveness and drive adoption of Data Governance policies and standards that will be applied to mitigate identified risks across the data lifecycle (e.g., capture / production, aggregation / processing, reporting / consumption). Establish enterprise level standards on the nomenclature, content, and structure of information (structured and unstructured data), metadata, glossaries, and taxonomies. Jointly with the Technology team, business functions, and enterprise teams (e.g., MDM, Enterprise Data Fabric, etc.) define the specifications shaping the development and implementation of data foundations. What we expect of you We are all different, yet we all use our unique contributions to serve patients. Basic Qualifications: Doctorate degree and 4 years of Information Systems experience OR Master’s degree and 14 to 16 years of Information Systems experience OR Bachelor’s degree and 16 to 18 years of Information Systems experience 6 years of managerial experience directly managing people and leadership experience leading teams, projects, or programs. Demonstrated leadership experience and demeanor to spearhead strategy and implementation of information standards. Technical skills with in-depth knowledge of Pharma processes with preferred specialization in a domain (e.g., Research, Clinical Trials, Commercial, etc.). Aware of industry trends and priorities and can apply to governance and policies. In-depth knowledge and experience with data governance principles and technology; can design and implement Data Governance operating models to drive Amgen’s transformation to be a data driven organization. In-depth knowledge of data management, common data models, metadata management, data quality, master data management, data stewardship, data protection, etc. Experience with data products development life cycle, including the enablement of data dictionaries, business glossary to increase data products reusability and data literacy. Preferred Qualifications: Co-develop the data foundations and data products in collaboration with functions and Digital teams. Demonstrated willingness to make decisions and influence senior executives/multi-functional leaders. Ability to successfully implement complex projects in a fast-paced environment and in managing multiple priorities effectively. Ability to manage projects or departmental budgets. Experience with modelling tools (e.g., Visio). Basic programming skills, experience in data visualization and data modeling tools. Soft Skills: Ability to build business relationships and understand end-to-end data use and needs. Good interpersonal skills (great teammate). People management skills either in matrix or direct line function. Strong verbal and written communication skills Ability to work effectively with global, virtual teams High degree of initiative and self-motivation. Ability to manage multiple priorities successfully. Team-oriented, with a focus on achieving team goals Strong presentation and public speaking skills. Good attention to detail, quality, time management and customer focus. What you can expect of us As we work to develop treatments that take care of others, we also work to care for your professional and personal growth and well-being. From our competitive benefits to our collaborative culture, we’ll support your journey every step of the way. In addition to the base salary, Amgen offers competitive and comprehensive Total Rewards Plans that are aligned with local industry standards. Apply now for a career that defies imagination Objects in your future are closer than they appear. Join us. careers.amgen.com As an organization dedicated to improving the quality of life for people around the world, Amgen fosters an inclusive environment of diverse, ethical, committed and highly accomplished people who respect each other and live the Amgen values to continue advancing science to serve patients. Together, we compete in the fight against serious disease. Amgen is an Equal Opportunity employer and will consider all qualified applicants for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, protected veteran status, disability status, or any other basis protected by applicable law. We will ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment. Please contact us to request accommodation.

Customer/Transportation Master Data Analyst What you will do Let’s do this. Let’s change the world. In this vital role you will support the accuracy and consistency of master data (Customer and Transportation) across the organization. This role will manage data validation, cleansing, and enrichment while collaborating with teams to resolve issues and ensure data integrity. The analyst will support key performance monitoring, data governance, and compliance efforts, as well as assist in data migration and integration projects. Candidates should have experience in enterprise applications like SAP or Oracle, familiarity with data governance frameworks and compliance standards, and strong analytical skills. Roles & Responsibilities: Perform data operations tasks, mainly maintenance, and validation, to ensure the accuracy and integrity of master data Support process optimization initiatives to improve data management workflows and enhance efficiency Conduct data analysis to identify trends, discrepancies, and opportunities for improvement Provide training and support to partners, customers, and end-users on master data processes, tools, and best practices. Maintain data quality reports to monitor performance metrics and ensure data compliance. Collaborate cross-functionally with business, IT, and operations teams to resolve data-related issues and ensure alignment with organizational goals. What we expect of you We are all different, yet we all use our unique contributions to serve patients. Basic Qualifications: Master’s degree and 1 to 3 years of experience in SAP ECC, master data management, data governance, or data operations, preferably in the healthcare or biotech supply chains OR Bachelor’s degree and 3 to 5 years of experience in SAP ECC, master data management, data governance, or data operations, preferably in the healthcare or biotech supply chains OR Diploma in 7 to 9 years of experience SAP ECC, master data management, data governance, or data operations, preferably in the healthcare or biotech supply chains Must Have Skills: Technical Proficiency Experience in SAP/Oracle, Microsoft Office (Excel, PowerPoint), and other data management tools (e.g., Informatica, Oracle MDM). Analytical Skills Strong ability to analyze large datasets and deliver actionable insights. Problem Solving Skilled at identifying root causes of data issues and implementing effective solutions. Attention to Detail High accuracy and attention to detail, with a strong focus on data quality. Communication Excellent written and verbal communication skills, with the ability to present findings to both technical and non-technical stakeholders. Working knowledge of SAP/Oracle Understanding of master data management processes, frameworks, and governance. Proficiency in Excel and MS Office Suite, with experience in data analysis Basic understanding of data governance frameworks and ensuring data accuracy and quality. Strong communication skills for presenting data insights to both technical and non-technical audiences. Preferred Qualifications: Good-to-Have Skills: SAP S/4, SAP MDG, SAP TM Soft Skills: Good analytical and troubleshooting skills. Strong verbal and written communication skills. Ability to work effectively with global, virtual teams. High degree of initiative and self-motivation, centered around data perfection Team-oriented, with a focus on achieving team goals. What you can expect of us As we work to develop treatments that take care of others, we also work to care for your professional and personal growth and well-being. From our competitive benefits to our collaborative culture, we’ll support your journey every step of the way. In addition to the base salary, Amgen offers competitive and comprehensive Total Rewards Plans that are aligned with local industry standards. Apply now for a career that defies imagination Objects in your future are closer than they appear. Join us. careers.amgen.com As an organization dedicated to improving the quality of life for people around the world, Amgen fosters an inclusive environment of diverse, ethical, committed and highly accomplished people who respect each other and live the Amgen values to continue advancing science to serve patients. Together, we compete in the fight against serious disease. Amgen is an Equal Opportunity employer and will consider all qualified applicants for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, protected veteran status, disability status, or any other basis protected by applicable law. We will ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment. Please contact us to request accommodation.

What you will do Let’s do this. Let’s change the world. In this vital role you will be responsible for ensuring the proper management, governance, quality, and accessibility of an organization's data. Ensure data is trustworthy, well-organized, and effectively used, playing a crucial role in enabling data-driven decision-making and maintaining regulatory compliance. The ideal candidate has deep technical skills, experience with Syniti Knowledge platform (SKP) technologies, and a deep understanding of data architecture and ETL processes. Roles & Responsibilities: Design, develop, and manage data migration solutions using the Syniti Knowledge Platform. Configure and optimize Syniti Data Replication (SDR) and Syniti Advanced Data Migration (ADM) solutions. Collaborate with team members to understand data governance and quality requirements and implement solutions to address them. Monitor and improve data accuracy, completeness, consistency, and reliability. Create and maintain metadata repositories for easy data identification and understanding. Manage access controls to ensure authorized personnel can access data. Safeguard sensitive and confidential data from unauthorized access. Work with data owners, data analysts, and IT teams to align data practices with business objectives. Act as a liaison between technical teams and business users to ensure data meets organizational needs. Develop and maintain documentation for data processes, standards, and workflows. Investigate and resolve data-related issues and discrepancies. Develop and maintain metrics to track data quality and stewardship effectiveness. What we expect of you We are all different, yet we all use our unique contributions to serve patients. Basic Qualifications: Master’s degree and 1 to 3 years of Computer Science, IT or related field experience OR Bachelor’s degree and 3 to 5 years of Computer Science, IT or related field experience OR Diploma and 7 to 9 years of Computer Science, IT or related field experience Preferred Qualifications: Demonstrate a solid understanding of Syniti’s Data Migration methodology. Demonstrate strong proficiency in Syniti’s tools(ADM, Data Quality, MDM, Mass maintenance & SDR), working to prescribed development standards. Good understanding of business processes for one or more assigned functional area, and the ability to quickly learn about new areas. Demonstrate a strong knowledge of underlying technical data structures and definitions of assigned functional process area. Develop data migration rules and reports in the Syniti’s tools as per supplied specification. Evaluate and contribute to ongoing data migration design for assigned process area through data analysis, reporting and collaboration with on-site Syniti and client colleagues. Create and maintain data load programs. Experience with SAP Advanced Data Migration and Management(ADMM) Maintain related documentation and clearly communicate status to Syniti Team Leadership and customer PMO. Execution of end-to-end data loads and reconciliations. Proficiency in data analysis tools (eg. SQL) and experience with data visualization tools Database experience - SQL Server, Oracle etc. Good-to-Have Skills: Experience in ETL / Data Migration / Data Quality / Data Analysis. ERP techno-functional or functional experience, SAP preferred. Experience in SAP MDG Business Partner (Customer & Supplier), Material & Finance objects. Successfully participated in at least one or more full ERP implementation lifecycles. Working knowledge in SAFe development environment. Understanding of enterprise data strategy, data governance, data infrastructure. Working knowledge with cloud (e.g. AWS) and on-premises compute infrastructure. Database experience - SQL Server, Oracle etc. Professional Certifications: Agile Certified Practitioner (preferred) Syniti Certified Developer certification (preferred) Soft Skills: Excellent critical-thinking and problem-solving skills. Good communication and collaboration skills. Demonstrated awareness of how to function in a team setting. Demonstrated presentation skills. What you can expect of us As we work to develop treatments that take care of others, we also work to care for your professional and personal growth and well-being. From our competitive benefits to our collaborative culture, we’ll support your journey every step of the way. In addition to the base salary, Amgen offers competitive and comprehensive Total Rewards Plans that are aligned with local industry standards. Apply now for a career that defies imagination Objects in your future are closer than they appear. Join us. careers.amgen.com As an organization dedicated to improving the quality of life for people around the world, Amgen fosters an inclusive environment of diverse, ethical, committed and highly accomplished people who respect each other and live the Amgen values to continue advancing science to serve patients. Together, we compete in the fight against serious disease. Amgen is an Equal Opportunity employer and will consider all qualified applicants for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, protected veteran status, disability status, or any other basis protected by applicable law. We will ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment.

ABOUT AMGEN Amgen harnesses the best of biology and technology to fight the world’s toughest diseases, and make people’s lives easier, fuller and longer. We discover, develop, manufacture and deliver innovative medicines to help millions of patients. Amgen helped establish the biotechnology industry more than 40 years ago and remains on the cutting-edge of innovation, using technology and human genetic data to push beyond what’s known today. What you will do Let’s do this. Let’s change the world. In this vital role you will be responsible for designing, building, maintaining, analyzing, and interpreting data to provide actionable insights that drive business decisions. This role involves working with large datasets, developing reports, supporting and executing data initiatives and, visualizing data to ensure data is accessible, reliable, and efficiently managed. The ideal candidate has strong technical skills, experience with big data technologies, and a deep understanding of data architecture and ETL processes Design, develop, and maintain data solutions for data generation, collection, and processing Be a key team member that assists in design and development of the data pipeline Create data pipelines and ensure data quality by implementing ETL processes to migrate and deploy data across systems Contribute to the design, development, and implementation of data pipelines, ETL/ELT processes, and data integration solutions Take ownership of data pipeline projects from inception to deployment, manage scope, timelines, and risks Collaborate with cross-functional teams to understand data requirements and design solutions that meet business needs Develop and maintain data models, data dictionaries, and other documentation to ensure data accuracy and consistency Implement data security and privacy measures to protect sensitive data Leverage cloud platforms (AWS preferred) to build scalable and efficient data solutions Collaborate and communicate effectively with product teams Collaborate with Data Architects, Business SMEs, and Data Scientists to design and develop end-to-end data pipelines to meet fast paced business needs across geographic regions Identify and resolve complex data-related challenges Adhere to best practices for coding, testing, and designing reusable code/component Explore new tools and technologies that will help to improve ETL platform performance Participate in sprint planning meetings and provide estimations on technical implementation What we expect of you Master’s degree and 4 to 6 years of Computer Science, IT or related field experience OR Bachelor’s degree and 6 to 8 years of Computer Science, IT or related field experience OR Diploma and 10 to 12 years of Computer Science, IT or related field experience Basic Qualifications: Hands on experience with big data technologies and platforms, such as Databricks, Apache Spark (PySpark, SparkSQL),Snowflake, workflow orchestration, performance tuning on big data processing Proficiency in data analysis tools (eg. SQL) Proficient in SQL for extracting, transforming, and analyzing complex datasets from relational data stores Excellent problem-solving skills and the ability to work with large, complex datasets Experience with ETL tools such as Apache Spark, and various Python packages related to data processing, machine learning model development Strong understanding of data modeling, data warehousing, and data integration concepts Proven ability to optimize query performance on big data platforms Preferred Qualifications: Experience with Software engineering best-practices, including but not limited to version control, infrastructure-as-code, CI/CD, and automated testing Knowledge of Python/R, Databricks, SageMaker, cloud data platforms Strong understanding of data governance frameworks, tools, and best practices. Knowledge of data protection regulations and compliance requirements (e.g., GDPR, CCPA) Professional Certifications: AWS Certified Data Engineer preferred Databricks Certificate preferred Soft Skills: Excellent critical-thinking and problem-solving skills Strong communication and collaboration skills Demonstrated awareness of how to function in a team setting Demonstrated presentation skills EQUAL OPPORTUNITY STATEMENT Amgen is an Equal Opportunity employer and will consider you without regard to your race, color, religion, sex, sexual orientation, gender identity, national origin, protected veteran status, or disability status. We will ensure that individuals with disabilities are provided with reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment. Please contact us to request an accommodation .

ABOUT AMGEN Amgen harnesses the best of biology and technology to fight the world’s toughest diseases, and make people’s lives easier, fuller and longer. We discover, develop, manufacture and deliver innovative medicines to help millions of patients. Amgen helped establish the biotechnology industry more than 40 years ago and remains on the cutting-edge of innovation, using technology and human genetic data to push beyond what’s known today. What you will do Let’s do this. Let’s change the world. In this vital role you will be responsible for designing, building, maintaining, analyzing, and interpreting data to provide actionable insights that drive business decisions. This role involves working with large datasets, developing reports, supporting and executing data initiatives and, visualizing data to ensure data is accessible, reliable, and efficiently managed. The ideal candidate has strong technical skills, experience with big data technologies, and a deep understanding of data architecture and ETL processes Design, develop, and maintain data solutions for data generation, collection, and processing Be a key team member that assists in design and development of the data pipeline Create data pipelines and ensure data quality by implementing ETL processes to migrate and deploy data across systems Contribute to the design, development, and implementation of data pipelines, ETL/ELT processes, and data integration solutions Develop and maintain data models, data dictionaries, and other documentation to ensure data accuracy and consistency Implement data security and privacy measures to protect sensitive data Leverage cloud platforms (AWS preferred) to build scalable and efficient data solutions Collaborate and communicate effectively with product teams Collaborate with Data Architects, Business SMEs, and Data Scientists to design and develop end-to-end data pipelines to meet fast paced business needs across geographic regions Identify and resolve complex data-related challenges Adhere to best practices for coding, testing, and designing reusable code/component Explore new tools and technologies that will help to improve ETL platform performance Participate in sprint planning meetings and provide estimations on technical implementation What we expect of you Master’s degree and 1 to 3 years of Computer Science, IT or related field experience OR Bachelor’s degree and 3 to 5 years of Computer Science, IT or related field experience OR Diploma and 7 to 9 years of Computer Science, IT or related field experience Basic Qualifications: Hands on experience with big data technologies and platforms, such as Databricks, Apache Spark (PySpark, SparkSQL),Snowflake, workflow orchestration, performance tuning on big data processing Proficiency in data analysis tools (eg. SQL) Proficient in SQL for extracting, transforming, and analyzing complex datasets from relational data stores Experience with ETL tools such as Apache Spark, and various Python packages related to data processing, machine learning model development Strong understanding of data modeling, data warehousing, and data integration concepts Proven ability to optimize query performance on big data platforms Preferred Qualifications: Experience with Software engineering best-practices, including but not limited to version control, infrastructure-as-code, CI/CD, and automated testing Knowledge of Python/R, Databricks, SageMaker, cloud data platforms Strong understanding of data governance frameworks, tools, and best practices. Knowledge of data protection regulations and compliance requirements (e.g., GDPR, CCPA) Professional Certifications: AWS Certified Data Engineer preferred Databricks Certificate preferred Soft Skills: Excellent critical-thinking and problem-solving skills Strong communication and collaboration skills Demonstrated awareness of how to function in a team setting Demonstrated presentation skills EQUAL OPPORTUNITY STATEMENT Amgen is an Equal Opportunity employer and will consider you without regard to your race, color, religion, sex, sexual orientation, gender identity, national origin, protected veteran status, or disability status. We will ensure that individuals with disabilities are provided with reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment. Please contact us to request an accommodation .

ETL Data Engineer - Tech Lead Bangalore, India Information Technology 16748 Overview We are seeking a skilled and experienced Data Engineer who has expertise in playing a vital role in supporting data discovery, creating design document, data ingestion/migration, creating data pipelines, creating data marts and managing, monitoring the data using tech stack Azure, SQL, Python, PySpark, Airflow and Snowflake. Responsibilities 1. Data DiscoveryCollaborate with source teams and gather complete details of data sources and create design diagram. 2. Data Ingestion/MigrationCollaborate with cross-functional teams to Ingest/migrate data from various sources to staging area. Develop and implement efficient data migration strategies, ensuring data integrity and security throughout the process. 3. Data Pipeline DevelopmentDesign, develop, and maintain robust data pipelines that extract, transform, and load (ETL) data from different sources into GCP. Implement data quality checks and ensure scalability, reliability, and performance of the pipelines. 4. Data ManagementBuild and maintain data models and schemas, ensuring optimal storage, organization, and accessibility of data. Collaborate with requirement team to understand their data requirements and provide solutions by creating data marts to meet their needs. 5. Performance OptimizationIdentify and resolve performance bottlenecks within the data pipelines and data services. Optimize queries, job configurations, and data processing techniques to improve overall system efficiency. 6. Data Governance and SecurityImplement data governance policies, access controls, and data security measures to ensure compliance with regulatory requirements and protect sensitive data. Monitor and troubleshoot data-related issues, ensuring high availability and reliability of data systems. 7. Documentation and CollaborationCreate comprehensive technical documentation, including data flow diagrams, system architecture, and standard operating procedures. Collaborate with cross-functional teams, analysts, and software engineers, to understand their requirements and provide technical expertise. Requirements Bachelor's or Master's degree in Computer Science, Information Systems, or a related field. - Proven experience as a Data Engineer Technical lead, with a focus on output driven. - Strong knowledge and hands-on experience with Azure, SQL, Python, PySpark, Airflow, Snowflake and related tools. - Proficiency in data processing and pipeline development. Solid understanding of data modeling, database design, and ETL principles. - Experience with data migration projects, including data extraction, transformation, and loading. - Familiarity with data governance, security, and compliance practices. - Strong problem-solving skills and ability to work in a fast-paced, collaborative environment. - Excellent communication and interpersonal skills, with the ability to articulate technical concepts to non-technical stakeholders.

Data Modeller Chennai - Guindy, India Information Technology 17074 Overview A Data Modeller is responsible for designing, implementing, and managing data models that support the strategic and operational needs of an organization. This role involves translating business requirements into data structures, ensuring consistency, accuracy, and efficiency in data storage and retrieval processes. Responsibilities Develop and maintain conceptual, logical, and physical data models. Collaborate with business analysts, data architects, and stakeholders to gather data requirements. Translate business needs into efficient database designs. Optimize and refine existing data models to support analytics and reporting. Ensure data models support data governance, quality, and security standards. Work closely with database developers and administrators on implementation. Document data models, metadata, and data flows. Requirements Bachelors or Masters degree in Computer Science, Information Systems, Data Science, or related field. Data Modeling Tools: ER/Studio, ERwin, SQL Developer Data Modeler, or similar. Database Technologies: Proficiency in SQL and familiarity with databases like Oracle, SQL Server, MySQL, PostgreSQL. Data Warehousing: Experience with dimensional modeling, star and snowflake schemas. ETL Processes: Knowledge of Extract, Transform, Load processes and tools. Cloud Platforms: Familiarity with cloud data services (e.g., AWS Redshift, Azure Synapse, Google BigQuery). Metadata Management & Data Governance: Understanding of data cataloging and governance principles. Strong analytical and problem-solving skills. Excellent communication skills to work with business stakeholders and technical teams. Ability to document models clearly and explain complex data relationships. 5+ years in data modeling, data architecture, or related roles. Experience working in Agile or DevOps environments is often preferred. Understanding of normalization/denormalization. Experience with business intelligence and reporting tools. Familiarity with master data management (MDM) principles.

Data ELT Engineer Chennai - Guindy, India Information Technology 17075 Overview We are looking for a highly skilled DataELT Engineer to architect and implement data solutions that support our enterprise analytics and real-time decision-making capabilities. This role combines data modeling expertise with hands-on experience building and managing ELT pipelines across diverse data sources. You will work with Snowflake , AWS Glue , and Apache Kafka to ingest, transform, and stream both batch and real-time data, ensuring high data quality and performance across systems. If you have a passion for data architecture and scalable engineering, we want to hear from you. Responsibilities Design, build, and maintain scalable ELT pipelines into Snowflake from diverse sources including relational databases (SQL Server, MySQL, Oracle) and SaaS platforms. Utilize AWS Glue for data extraction and transformation, and Kafka for real-time streaming ingestion. Model data using dimensional and normalized techniques to support analytics and business intelligence workloads. Handle large-scale batch processing jobs and implement real-time streaming solutions. Ensure data quality, consistency, and governance across pipelines. Collaborate with data analysts, data scientists, and business stakeholders to align models with organizational needs. Monitor, troubleshoot, and optimize pipeline performance and reliability. Requirements 5+ years of experience in data engineering and data modeling. Strong proficiency with SQL and data modeling techniques (star, snowflake schemas). Hands-on experience with Snowflake data platform. Proficiency with AWS Glue (ETL jobs, crawlers, workflows). Experience using Apache Kafka for streaming data integration. Experience with batch and streaming data processing. Familiarity with orchestration tools (e.g., Airflow, Step Functions) is a plus. Strong understanding of data governance and best practices in data architecture. Excellent problem-solving skills and communication abilities.

Job Title - GenAI + Consultant S&C GN/Software & Platforms Management Level :9 Consultant Location:Bangalore/ Gurgaon / Hyderabad Job Summary : We are seeking a Analyst to join our rapidly growing AI/GenAI capabilities within the Software & Platform industry group. The ideal candidate will be passionate about driving business transformation through artificial intelligence, with a strong foundation in Generative AI technologies and a strategic consulting mindset. In this role, you will lead high-impact engagements, shape AI strategies for clients, and contribute to the team. This is a unique opportunity to influence AI adoption across global tech enterprises and help build future-ready capabilities. Roles & Responsibilities: Define business cases, transformation roadmaps, and target operating models Advise CXOs and senior executives on leveraging AI for innovation and efficiency Architect scalable GenAI solutions and oversee their development and integration Stay ahead of AI/GenAI trends and translate them into actionable consulting offerings Collaborate with cross-functional teams including data scientists, engineers, and industry experts Must have skills: Proven expertise in Data & AI strategy, architecture, and implementation Hands-on experience with Generative AI technologies (e.g., GPT, LLMs, diffusion models) Strong business acumen with the ability to translate AI solutions into tangible business value Track record of managing complex client engagements end-to-end Proficiency in cloud platforms (AWS, Azure, or GCP) with focus on AI/ML services Deep knowledge of data governance, ethics, and responsible AI practices Good to have skills: Experience in AI product development or building proprietary AI assets/IP Familiarity with MLOps and scalable deployment of AI models Prior experience in technology consulting or advisory roles Understanding of industry-specific AI use cases in software, hardware, or platforms Certifications in cloud or AI/ML technologies (e.g., AWS Certified Machine Learning, Microsoft Azure AI Engineer) Additional Information: This role offers exposure to cutting-edge AI/GenAI projects with global Fortune 500 technology clients Travel may be required based on client engagements Hybrid work model with flexibility based on project needs Opportunities to shape the firms AI service offerings and thought leadership initiatives About Our Company | AccentureQualification Experience: Minimum 3-6 year(s) of professional experience with at least 2 years in Data/AI/GenAI consulting Demonstrated leadership in delivering AI/ML solutions across the lifecycle (strategy to implementation) Experience working with large technology firms, consulting firms, or hyperscalers is highly preferred Prior experience mentoring and growing high-performing consulting teams Educational Qualification: B.Tech/BE + MBA (top-tier institutes)

Job Title - GenAI + Consultant S&C GN/Software & Platforms Management Level :9 Consultant Location:Bangalore/ Gurgaon / Hyderabad Job Summary : We are seeking a Analyst to join our rapidly growing AI/GenAI capabilities within the Software & Platform industry group. The ideal candidate will be passionate about driving business transformation through artificial intelligence, with a strong foundation in Generative AI technologies and a strategic consulting mindset. In this role, you will lead high-impact engagements, shape AI strategies for clients, and contribute to the team. This is a unique opportunity to influence AI adoption across global tech enterprises and help build future-ready capabilities. Roles & Responsibilities: Define business cases, transformation roadmaps, and target operating models Advise CXOs and senior executives on leveraging AI for innovation and efficiency Architect scalable GenAI solutions and oversee their development and integration Stay ahead of AI/GenAI trends and translate them into actionable consulting offerings Collaborate with cross-functional teams including data scientists, engineers, and industry experts Must have skills: Proven expertise in Data & AI strategy, architecture, and implementation Hands-on experience with Generative AI technologies (e.g., GPT, LLMs, diffusion models) Strong business acumen with the ability to translate AI solutions into tangible business value Track record of managing complex client engagements end-to-end Proficiency in cloud platforms (AWS, Azure, or GCP) with focus on AI/ML services Deep knowledge of data governance, ethics, and responsible AI practices Good to have skills: Experience in AI product development or building proprietary AI assets/IP Familiarity with MLOps and scalable deployment of AI models Prior experience in technology consulting or advisory roles Understanding of industry-specific AI use cases in software, hardware, or platforms Certifications in cloud or AI/ML technologies (e.g., AWS Certified Machine Learning, Microsoft Azure AI Engineer) Additional Information: This role offers exposure to cutting-edge AI/GenAI projects with global Fortune 500 technology clients Travel may be required based on client engagements Hybrid work model with flexibility based on project needs Opportunities to shape the firms AI service offerings and thought leadership initiatives About Our Company | AccentureQualification Experience: Minimum 3-6 year(s) of professional experience with at least 2 years in Data/AI/GenAI consulting Demonstrated leadership in delivering AI/ML solutions across the lifecycle (strategy to implementation) Experience working with large technology firms, consulting firms, or hyperscalers is highly preferred Prior experience mentoring and growing high-performing consulting teams Educational Qualification: B.Tech/BE + MBA (top-tier institutes)