2438 Data Governance Jobs - Page 24

Name of the position: Data Engineer Location: Remote No. of resources needed: 01 Mode: Contract Years of experience: 5+ Years Shift: UK shift Job Summary: Seeking an experienced Data Engineer with expertise in SQL, Python, and Excel to join our team. The ideal candidate will have a strong background in data cleansing and transformation, with a proven track record of delivering high-quality data solutions. Key Responsibilities: Design, develop, and maintain large-scale data systems and architectures Develop and implement data pipelines to extract, transform, and load data from various sources Collaborate with cross-functional teams to identify data requirements and develop data-driven solutions Develop and maintain data quality and data governance processes Ensure data security and compliance with regulatory requirements Stay up-to-date with emerging trends and technologies in data engineering Requirements: 5+ years of experience in data engineering with a strong focus on data cleansing and transformation Expert-level proficiency in SQL, Python, and Excel Experience with data warehousing, ETL, and data governance Strong understanding of data security and compliance regulations

As a Fortune 50 company with more than 400,000 team members worldwide, Target is an iconic brand and one of America's leading retailers. Joining Target means promoting a culture of mutual care and respect and striving to make the most meaningful and positive impact. Becoming a Target team member means joining a community that values different voices and lifts each other up. Here, we believe your unique perspective is important, and you'll build relationships by being authentic and respectful. Overview about Target in India At Target, we have a timeless purpose and a proven strategy. And that hasnt happened by accident. Some of the best minds from different backgrounds come together at Target to redefine retail in an inclusive learning environment that values people and delivers world-class outcomes. That winning formula is especially apparent in Bengaluru, where Target in India operates as a fully integrated part of Targets global team and has more than 4,000 team members supporting the companys global strategy and operations. About the Role As a Senior RBX Data Specialist at Target in India, involves the end-to-end management of data, encompassing building and maintaining pipelines through ETL/ELT and data modeling, ensuring data accuracy and system performance, and resolving data flow issues. It also requires analyzing data to generate insights, creating visualizations for stakeholders, automating processes for efficiency, and effective collaboration across both business and technical teams. You will also answer ad-hoc questions from your business users by conducting quick analysis on relevant data, identify trends and correlations, and form hypotheses to explain the observations. Some of this will lead to bigger projects of increased complexity, where you will have to work as a part of a bigger team, but also independently execute specific tasks. Finally, you are expected to always adhere to project schedule and technical rigor as well as requirements for documentation, code versioning, etc Key Responsibilities Data Pipeline and MaintenanceMonitor data pipelines and warehousing systems to ensure optimal health and performance. Ensure data integrity and accuracy throughout the data lifecycle. Incident Management and ResolutionDrive the resolution of data incidents and document their causes and fixes, collaborating with teams to prevent recurrence. Automation and Process ImprovementIdentify and implement automation opportunities and Data Ops best practices to enhance the efficiency, reliability, and scalability of data processes. Collaboration and CommunicationWork closely with data teams and stakeholders, to understand data pipeline architecture and dependencies, ensuring timely and accurate data delivery while effectively communicating data issues and participating in relevant discussions. Data Quality and GovernanceImplement and enforce data quality standards, monitor metrics for improvement, and support data governance by ensuring policy compliance. Documentation and ReportingCreate and maintain clear and concise documentation of data pipelines, processes, and troubleshooting steps. Develop and generate reports on data operations performance and key metrics. Core responsibilities are described within this job description. Job duties may change at any time due to business needs. About You B.Tech / B.E. or equivalent (completed) degree 5+ years of relevant work experience Experience in Marketing/Customer/Loyalty/Retail analytics is preferable Exposure to A/B testing Familiarity with big data technologies, data languages and visualization tools Exposure to languages such as Python and R for data analysis and modelling Proficiency in SQL for data extraction, manipulation, and analysis, with experience in big data query frameworks such as Hive, Presto, SQL, or BigQuery Solid foundation knowledge in mathematics, statistics, and predictive modelling techniques, including Linear Regression, Logistic Regression, time-series models, and classification techniques. Ability to simplify complex technical and analytical methodologies for easier comprehension for broad audiences. Ability to identify process and tool improvements and implement change Excellent written and verbal English communication skills for Global working Motivation to initiate, build and maintain global partnerships Ability to function in group and/or individual settings. Willing and able to work from our office location (Bangalore HQ) as required by business needs and brand initiatives Useful Links- Life at Target- https://india.target.com/Benefits- https://india.target.com/life-at-target/workplace/benefitsCulture- https://india.target.com/life-at-target/belonging

As a managing consultant, you will serve as a client-facing practitioner working collaboratively with clients to deliver high-quality solutions and be a trusted business advisor with deep understanding of SAP Accelerate delivery methodology or equivalent and associated work products. You will lead design workshops, support business development activities and mentor and coach team members to develop their skills and knowledge. There are opportunities for you to acquire new skills, work across different disciplines, take on new challenges, and develop a comprehensive understanding of various industries. There are opportunities for you to acquire new skills, work across different disciplines, take on new challenges, and develop a comprehensive understanding of various industries. Your primary responsibilities include: Strategic SAP Solution LeadershipLeading the technical design, development, and implementation of SAP solutions for simplicity, amplification, and maintainability that meet client needs. Team Delivery leadershipLead and manage high performing team of SAP consultants to deliver work products on time, budget, and quality. Comprehensive Solution DeliveryInvolvement in strategy development and solution implementation, leveraging your functional expertise of SAP with clients and team members and working with the latest technologies Required education Bachelor's Degree Preferred education Master's Degree Required technical and professional expertise Overall, 5 - 12 years of relevant experience in SAP BODS/BOIS/SDI/SDQ and 3+ Years of SAP functional experience specializing in design and configuration of SAP BODS/HANA SDI modules. Experience in gathering business requirements and should be able to create requirement specifications based on Architecture/Design/Detailing of Processes. ‘Should be able to prepare mapping sheet combining his/her Functional and technical expertise. All BODS Consultant should primarily have Data migration experience from Different Legacy Systems to SAP or Non-SAP systems. Data Migration experience from SAP ECC to S/4HANA using Migration Cockpit or any other methods. In addition to Data Migration experience, Consultant should have experience or Strong knowledge on BOIS (BO Information Steward) for data Profiling or Data Governance Preferred technical and professional experience Having BODS Admin experience/Knowledge. Having working or strong Knowledge of SAP DATA HUB. Experience/Strong knowledge of HANA SDI (Smart data Integration) to use this as an ETL and should be able to develop flow graphs to Validate/Transform data. Consultant should Develop Workflows, Data flows based on the specifications using various stages in BODS

Job Title: Data Modeler About Us Capco, a Wipro company, is a global technology and management consulting firm. Awarded with Consultancy of the year in the British Bank Award and has been ranked Top 100 Best Companies for Women in India 2022 by Avtar & Seramount . With our presence across 32 cities across globe, we support 100+ clients across banking, financial and Energy sectors. We are recognized for our deep transformation execution and delivery. WHY JOIN CAPCO You will work on engaging projects with the largest international and local banks, insurance companies, payment service providers and other key players in the industry. The projects that will transform the financial services industry. MAKE AN IMPACT Innovative thinking, delivery excellence and thought leadership to help our clients transform their business. Together with our clients and industry partners, we deliver disruptive work that is changing energy and financial services. #BEYOURSELFATWORK Capco has a tolerant, open culture that values diversity, inclusivity, and creativity. CAREER ADVANCEMENT With no forced hierarchy at Capco, everyone has the opportunity to grow as we grow, taking their career into their own hands. DIVERSITY & INCLUSION We believe that diversity of people and perspective gives us a competitive advantage. MAKE AN IMPACT Requirements: Job Title: Data Modeler Experience: 12+ years Location: Hyderabad Roles & Responsibilities Minimum of 10 years experience of Data management and modelling solutions working as a Data Modeller within the Financial Services sector is essential; preferably in a Treasury/Finance function and or related front office environment. A proven track record working in a large and global banking environment is desirable. Demonstrate experience in design data modelling solutions (conceptual, logical and application/messaging) with corresponding phasing, transitions, and migrations where necessary. Good understanding of managing data as a product (asset) principle across enterprise domains and technology landscapes. Good understanding of architectural domains (business, data, application, and technology) Good communication skills with the ability to influence and present data models (as well as concepts) to technology and business stakeholders. Good collaboration skills with the ability to demonstrate experience achieving outcomes in a matrixed environment partnering with data modellers from other domains to build and join shared and reusable data assets. Experience of working with Agile and Scrum in a large scalable Agile environment. This should include participation and progress reporting in daily standups. Data standards, data governance, data strategy and data lineage would be advantageous in this role. Knowledge of reference/master data management Cloud exposure to solutions implemented in either GCP, AWS or Azure would be beneficial as well as having exposure to big data solutions would be advantageous. Experience working with leading data modelling tools modelling documentation using tools such as Visual Paradigm, ERwin, PowerDesigner, ER Studio etc. Knowledge of data modelling standards and modelling technical documentation using Entity Relationship Diagrams (ERD) or Unified Modelling language (UML) or BIAN. Results oriented with ability to produce solutions that deliver organisational benefit. Understanding of issue and data quality management, prioritisation, business case development, remediation planning and tactical or strategic solution delivery Exposure with data governance initiatives such as lineage, masking, retention policy, and data quality Strong analytical skills and problem-solving, with the ability to work unsupervised and take ownership for key deliverables. Exposure with ETL architectures and tools, including data virtualisation, integration with APIs is desirable. Approach problems with an open mind and challenge to ensure appropriate pragmatic clean designs.

Customer Success Engineer Customer Success Engineer Bengaluru, India | Customer Experience Strength in Trust OneTrust s mission is to enable organizations to use data and AI responsibly. Our platform simplifies the collection of data with consent and preferences, automates the governance of data with integrated risk management across privacy, security, IT/tech, third-party, and AI risk, and activates the responsible use of data by applying and enforcing data policies across the entire data estate and lifecycle. OneTrust supports seamless collaboration between data teams and risk teams to drive rapid and trusted innovation. Recognized as a market pioneer and leader, OneTrust boasts over 300 patents and serves more than 14,000 customers globally, ranging from industry giants to small businesses. As a Customer Success Engineer (CSE) at OneTrust, you will be a key enabler of customer success by helping users overcome product-related challenges through focused, high-quality Ask the Expert sessions. These 1 2 hour sessions provide hands-on troubleshooting, guidance, and configuration support to customers across our platform. Your role is to help unblock customers and empower them with the knowledge and confidence to effectively use OneTrust to meet their operational needs. You will bring product expertise, strong communication skills, and a calm, customer-first mindset to every interaction. While this role is primarily reactive and tactical in nature, it plays a critical role in ensuring positive customer outcomes. In addition to delivering sessions, CSEs contribute reusable content such as knowledgebase articles, blog posts, and video tutorials to support scalable enablement. This position is an ideal stepping stone for those looking to grow into more strategic, consultative roles within the Customer Success Architecture team. Your Mission Deliver 1:1 Ask the Expert sessions with customers focused on resolving issues, clarifying product behavior, and answering how-to questions across one or more OneTrust solution domains. Translate customer challenges into actionable guidance, empowering users to configure, troubleshoot, and move forward confidently. Stay calm and professional under pressure, especially when working with frustrated or time-sensitive customers. Build trusted working relationships with customer users and administrators through empathy, product knowledge, and clear communication. Partner with CSAs, Support, Product, and Enablement teams to relay customer insights and improve internal processes. Create and maintain scalable enablement assets that reflect common patterns seen in customer engagements. Preferred Background Prior experience as a OneTrust Implementation Consultant or Support Engineer , or in a customer-facing role involving direct OneTrust platform usage. Candidates without OneTrust experience must demonstrate expertise in a comparable platform (e.g., GRC, privacy, data governance, consent management) with proven ability to ramp quickly. Qualifications Experience Experience in a technical customer-facing role such as Customer Success, Support Engineering, Professional Services, or Solutions Consulting. Familiarity with cloud-based software platforms and enterprise SaaS workflows. Skills Attributes Strong product troubleshooting and problem-solving skills. Excellent written and verbal communication, with the ability to simplify complex topics. Customer-first mindset with high emotional intelligence and empathy. Ability to multitask, prioritize, and manage time across multiple engagements. Comfortable collaborating cross-functionally with CSAs, Support, and Product teams. Growth Path This role offers the opportunity to deepen your product and customer engagement expertise on the path toward more strategic positions within the Customer Success Architecture team, such as Customer Success Architect (CSA). Where we Work We are embracing an office first culture, encouraging three days a week in office for most roles, with meaningful opportunities to collaborate and celebrate in person. Each role may have specific requirements or flexibility depending on the scope of the position, so we encourage you to verify this with your recruiter during your first interview. Benefits As an employee at OneTrust , you will be part of the OneTeam . That means you ll receive support physically, mentally, and emotionally so that you can do your best work both in and out of the office. This includes comprehensive healthcare coverage, flexible PTO, equity RSUs, annual performance bonus opportunities, retirement account support, 14+ weeks of paid parental leave, career development opportunities, company-paid privacy certification exam fees, and much more. Specific benefits differ by country. For more information, talk to your recruiter or visit onetrust.com/careers. Resources Check out the following to learn more about OneTrust and its people: Your Data You have the right to have your personal data updated or removed. You also have the right to have a copy of the information OneTrust holds about you. Further details about these rights are available on the website in our . You can change your mind at any time and have your personal data removed from our database. In order to do this you must contact us and let us know you wish to be removed. The request should be made on the . Recruitment fraud warning: OneTrust is aware of scams involving false offers of employment with our company. The fraudulent jobs, interviews and job offers use fake websites, email addresses, group chat and text messages. Be aware that we never ask candidates for personal information, IDs or bank information during the interview process. We do not interview prospective candidates via instant message or group chat, and do not require candidates to purchase products or services, or process payments on our behalf as a condition of any employment offer. Please note that any legitimate interview availability requests will come directly from a OneTrust recruiter with an "@onetrust.com" email address. You may also receive legitimate emails from "@us.greenhouse-mail.io". Recruiters will only reach out to candidates who have applied for a role through our ATS (Greenhouse) or prospects via LinkedIn InMail. Job offers will come from a recruiter and may have a "@docusign.net" email address. For more information or if you have been targeted please reach out to . Our Commitment to You When you join OneTrust you are stepping onto a launching pad the countdown has begun. The destinationA career without boundaries working alongside a diverse and inclusive crew who is passionate about doing meaningful work. As a pioneer, your voice and expertise will help chart the direction of an entirely new category. Our commitment to putting people first starts with you. Your growth is part of the mission. Our goal is to give you the power to embark on the next phase of your uniquely, unique career. OneTrust provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by local laws. Top Searches Resources Platform Company Latest News Contact Us Privacy Matters Our privacy center makes it easy to see how we collect and use your information. Your privacy When we collect your personal information, we always inform you of your rights and make it easy for you to exercise them. Where possible, we also let you manage your preferences about how much information you choose to share with us, or our partners. {{CURRENT_DATE}} OneTrust, LLC. All Rights Reserved. Our policies Your rights

Customer Success Engineer Customer Success Engineer Bengaluru, India | Customer Experience Strength in Trust OneTrust s mission is to enable organizations to use data and AI responsibly. Our platform simplifies the collection of data with consent and preferences, automates the governance of data with integrated risk management across privacy, security, IT/tech, third-party, and AI risk, and activates the responsible use of data by applying and enforcing data policies across the entire data estate and lifecycle. OneTrust supports seamless collaboration between data teams and risk teams to drive rapid and trusted innovation. Recognized as a market pioneer and leader, OneTrust boasts over 300 patents and serves more than 14,000 customers globally, ranging from industry giants to small businesses. As a Customer Success Engineer (CSE) at OneTrust, you will be a key enabler of customer success by helping users overcome product-related challenges through focused, high-quality Ask the Expert sessions. These 1 2 hour sessions provide hands-on troubleshooting, guidance, and configuration support to customers across our platform. Your role is to help unblock customers and empower them with the knowledge and confidence to effectively use OneTrust to meet their operational needs. You will bring product expertise, strong communication skills, and a calm, customer-first mindset to every interaction. While this role is primarily reactive and tactical in nature, it plays a critical role in ensuring positive customer outcomes. In addition to delivering sessions, CSEs contribute reusable content such as knowledgebase articles, blog posts, and video tutorials to support scalable enablement. This position is an ideal stepping stone for those looking to grow into more strategic, consultative roles within the Customer Success Architecture team. Your Mission Deliver 1:1 Ask the Expert sessions with customers focused on resolving issues, clarifying product behavior, and answering how-to questions across one or more OneTrust solution domains. Translate customer challenges into actionable guidance, empowering users to configure, troubleshoot, and move forward confidently. Stay calm and professional under pressure, especially when working with frustrated or time-sensitive customers. Build trusted working relationships with customer users and administrators through empathy, product knowledge, and clear communication. Partner with CSAs, Support, Product, and Enablement teams to relay customer insights and improve internal processes. Create and maintain scalable enablement assets that reflect common patterns seen in customer engagements. Preferred Background Prior experience as a OneTrust Implementation Consultant or Support Engineer, or in a customer-facing role involving direct OneTrust platform usage. Candidates without OneTrust experience must demonstrate expertise in a comparable platform (e.g., GRC, privacy, data governance, consent management) with proven ability to ramp quickly. Experience 1-5 years of experience in a technical customer-facing role such as Customer Success, Support Engineering, Professional Services, or Solutions Consulting. Familiarity with cloud-based software platforms and enterprise SaaS workflows. Skills Attributes Strong product troubleshooting and problem-solving skills. Excellent written and verbal communication, with the ability to simplify complex topics. Customer-first mindset with high emotional intelligence and empathy. Ability to multitask, prioritize, and manage time across multiple engagements. Comfortable collaborating cross-functionally with CSAs, Support, and Product teams. Growth Path This role offers the opportunity to deepen your product and customer engagement expertise on the path toward more strategic positions within the Customer Success Architecture team , such as Customer Success Architect (CSA). Where we Work We are embracing an office first culture, encouraging three days a week in office for most roles, with meaningful opportunities to collaborate and celebrate in person. Each role may have specific requirements or flexibility depending on the scope of the position, so we encourage you to verify this with your recruiter during your first interview. Benefits As an employee at OneTrust , you will be part of the OneTeam . That means you ll receive support physically, mentally, and emotionally so that you can do your best work both in and out of the office. This includes comprehensive healthcare coverage, flexible PTO, equity RSUs, annual performance bonus opportunities, retirement account support, 14+ weeks of paid parental leave, career development opportunities, company-paid privacy certification exam fees, and much more. Specific benefits differ by country. For more information, talk to your recruiter or visit onetrust.com/careers. Resources Check out the following to learn more about OneTrust and its people: Your Data You have the right to have your personal data updated or removed. You also have the right to have a copy of the information OneTrust holds about you. Further details about these rights are available on the website in our . You can change your mind at any time and have your personal data removed from our database. In order to do this you must contact us and let us know you wish to be removed. The request should be made on the . Recruitment fraud warning: OneTrust is aware of scams involving false offers of employment with our company. The fraudulent jobs, interviews and job offers use fake websites, email addresses, group chat and text messages. Be aware that we never ask candidates for personal information, IDs or bank information during the interview process. We do not interview prospective candidates via instant message or group chat, and do not require candidates to purchase products or services, or process payments on our behalf as a condition of any employment offer. Please note that any legitimate interview availability requests will come directly from a OneTrust recruiter with an "@onetrust.com" email address. You may also receive legitimate emails from "@us.greenhouse-mail.io". Recruiters will only reach out to candidates who have applied for a role through our ATS (Greenhouse) or prospects via LinkedIn InMail. Job offers will come from a recruiter and may have a "@docusign.net" email address. For more information or if you have been targeted please reach out to . Our Commitment to You When you join OneTrust you are stepping onto a launching pad the countdown has begun. The destinationA career without boundaries working alongside a diverse and inclusive crew who is passionate about doing meaningful work. As a pioneer, your voice and expertise will help chart the direction of an entirely new category. Our commitment to putting people first starts with you. Your growth is part of the mission. Our goal is to give you the power to embark on the next phase of your uniquely, unique career. OneTrust provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by local laws. Top Searches Resources Platform Company Latest News Contact Us Privacy Matters Our privacy center makes it easy to see how we collect and use your information. Your privacy When we collect your personal information, we always inform you of your rights and make it easy for you to exercise them. Where possible, we also let you manage your preferences about how much information you choose to share with us, or our partners. {{CURRENT_DATE}} OneTrust, LLC. All Rights Reserved. Our policies Your rights

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)

Key Responsibilities: Expansion of Data Privacy Professional Services: Engage with Decision-makers like Chief Information Security Officers (CISO) and Chief Information Officers (CIO), DPO (Data Protection Officer), CRO (Chief Risk Officer), to present and promote Data Protection and Governance Offerings and solutions. Increase SISAs wallet-share of business by showcasing the superiority of Companys Data Privacy service offerings and solution to existing and new clients. Strategy and Recasting of Service Offerings, solutions: Understand and develop competitive Data Privacy Service Offering Roadmap, artefacts, frameworks with respect to the service offering keeping in mind on competitive products and analyst reports. Craft implementable strategies to increase SISA’s footprint in the Data Protection and Governance space. Privacy requirements for products and solutions: Work with Product Development Teams to align products and service offerings in line with Contemporary Data Protection Laws and Industry-specific requirements in line with Laws prevailing in different geographies. Translating law requirements into workable and implementable work packets. Keep up to date with Market and Industry in Data Privacy domain: Ensure to keep self, team and management updated about latest happenings in Data Privacy and its applicability to transform offerings and product features in agile methodology to be current among others. Thought Leadership and Industry Connect: To stay connected with industry bodies, updates, guidance and contribute effectively through required means with focus of promoting service offerings, product solutions. Mentoring team members to contribute to blogs, white papers, patents and to enhance the proficient in privacy knowledge. Privacy Engineering and Technology Tools: To contribute and recommend the suitable privacy enhancing tools and technologies to clients and also to be integrated with existing Service offerings and enhance features in current platform and tools. Qualifications and Desired Skill: Technical Graduate preferably with an MBA and a Law Degree or Certification in Data Protection and Governance Proficient and hands-on experience in Data Privacy Enhancing Technology, Privacy Engineering and Industry Products Strong communication, collaboration, team management and interpersonal skills with key attention to details. Publishing of white papers, patents and other recognitions

OCI Data Catalog Oracle Cloud Infrastructure (OCI) Metadata Management Data Lineage Data Classification Data Stewardship Data Governance Cloud Data Integration Oracle Autonomous Database Oracle Object Storage PoC Delivery (Proof of Concept) Cloud Data Management SQL ETL Tools (e.g., Oracle Data Integrator, Informatica, etc.) Data Catalog Tools (e.g., Collibra, Alation, Azure Purview for comparative experience) On-premise to Cloud Integration API Integration (for metadata harvesting)

Project Role : Data Engineer Project Role Description : Design, develop and maintain data solutions for data generation, collection

DTCC Digital Assets DTCC Digital Assets is at the forefront of driving institutional adoption of digital assets technology with a steadfast commitment to innovation anchored in security and stability. As the financial services industrys trusted technology partner, we pride ourselves on empowering a globally interconnected and efficient ecosystem.Our mission is to provide secure and compliant infrastructure for digital assets, enabling financial institutions to unlock the full potential of blockchain technology We are seeking an experienced and highly skilled Principal Data Engineer to join our dynamic team. As a Principal Data Engineer, you will play a crucial role in designing and building and growing our greenfield Snowflake Data Platform for Digital Assets. The Impact you will have in this role: Principal Data Engineer role is substantial in shaping the data infrastructure and strategic direction of the Digital Assets department. By leading the design and implementation of a greenfield Snowflake Data Platform, this role directly influences the organizations ability to manage and leverage data for operational efficiency and risk assessment. The Associate Director ensures that data systems are scalable, secure, and aligned with business goals, enabling faster decision-making and innovation. Their leadership in managing cross-functional teams and collaborating with stakeholders ensures that technical solutions are not only robust but also responsive to evolving business needs. Beyond technical execution, this role plays a pivotal part in fostering a culture of accountability, growth, and inclusion. By mentoring team members, driving employee engagement, and promoting best practices in agile development and data governance, the Associate Director helps build a resilient and high-performing engineering organization. Their contributions to incident management, platform adoption, and continuous improvement efforts ensure that the data platform remains reliable and future-ready, positioning the company to stay competitive in the rapidly evolving digital assets landscape. Role description: Lead engineering and development focused projects from start to finish with minimal supervision. Provide technical and operational support for our customer base as well as other technical areas within the company. Review and supervise the system design and architecture. Interact with stakeholder to understand requirements and provide solutions. Risk management functions such as reconciliation of vulnerabilities, security baselines as well as other risk and audit related objectives. Refine and prioritize the backlog for the team in partnership with product management. Groom and guide the team of employees and consultants. Responsible for employee engagement, growth and appraisals. Participate in user training to increase awareness of the platform. Ensure incident, problem and change tickets are addressed in a timely fashion, as well as escalating technical and managerial issues. Ensure quality and consistency of data from source systems and align with data product managers on facilitating resolution of these issues in a consistent manner. Follow DTCCs ITIL process for incident, change and problem resolution Talents Needed for Success Bachelors degree in Computer Science, Information Technology, Engineering (any) or related field 8 years of experience in the job or related position. Prior experience to include: 5 years of experience in managing data warehouses in a production environment. This includes all phases of lifecycle management: planning, design, deployment, upkeep, and retirement. 5 years leading development teams from with mix of onshore and offshore members. Experience designing and architecting data warehousing applications. Warehousing concepts involving fact and dimensions. Star/snowflake schemas and data integration methods and tools. Deep understanding of the Snowflake platform. Designing data pipelines. SQL and relational databases. Development in agile scrum teams. Development following CI/CD processes. Demonstrable experience with data streaming technologies like Kafka for data ingestion. Knowledge of Blockchain technologies, Smart Contracts and Financial Services a plus. Designing low latency data platforms a plus. Knowledge of Data Governance principles a plus. Optimize/Tune source streams, queries, and Power BI (or equivalent) Dashboards Leadership competencies Champion Inclusion - Embrace individual difference and create an environment of support, belonging and trust. Communicate Clearly - Listen to understand. Ask questions for clarity and deliver messages with purpose. Cultivate Relationships show care and compassion for others and authentically build networks across functions. Instill Ownership Ensure accountability, manage execution, and mitigate risk to deliver results. Inspire Growth Develop yourself and others through coaching, feedback, and mentorship to meet carer goals. Propel Change Think critically, respectfully challenge, and create innovative ways to drive growth.

Project Role : Data Platform Architect Project Role Description : Architects the data platform blueprint and implements the 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 : Microsoft Azure Data Services Good to have skills : Microsoft Azure Databricks, Python (Programming Language), Microsoft SQL ServerMinimum 7.5 year(s) of experience is required Educational Qualification : 15 years full time education Summary :As a Data Platform Architect, you will be responsible for architecting the data platform blueprint and implementing the design, which includes various data platform components. Your typical day will involve collaborating with Integration Architects and Data Architects to ensure seamless integration between systems and data models, while also addressing any challenges that arise during the implementation process. You will engage in discussions with stakeholders to gather requirements and provide insights that drive the overall architecture of the data platform, ensuring it meets the needs of the organization effectively. 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 knowledge sharing sessions to enhance team capabilities.- Develop and maintain documentation related to data architecture and design. Professional & Technical Skills: - Must To Have Skills: Proficiency in Microsoft Azure Data Services.- Good To Have Skills: Experience with Microsoft Azure Databricks, Python (Programming Language), Microsoft SQL Server.- Strong understanding of data modeling techniques and best practices.- Experience with cloud-based data storage solutions and data processing frameworks.- Familiarity with data governance and compliance standards. Additional Information:- The candidate should have minimum 7.5 years of experience in Microsoft Azure Data Services.- This position is based at our Hyderabad office.- A 15 years full time education is required. Qualification 15 years full time education

Data Governance Lead About the Role: We are seeking an experienced Data Governance lead to join our team. In this role, you will be responsible for defining and implementing the data governance strategy. The role involves establishing metadata standards, defining attribute ownership models, ensuring regulatory compliance, and improving data quality and trust across the enterprise. Responsibilities: Define and implement enterprise-wide data governance framework Own the metadata catalog and ensure consistency across business and technical assets Develop and manage KPI registries, data dictionaries, and lineage documentation Collaborate with data stewards and domain owners to establish attribute ownership Lead efforts around data standardization, quality rules, and classification of sensitive data Ensure privacy and compliance (e.g., GDPR, PII, PHI) by enforcing tagging, masking, and access rules Define access control rules (purpose-based views, user roles, sensitivity levels) Oversee governance for data products and federated data domains Support internal audits and external regulatory reviews Coordinate with platform, analytics, security, and compliance teams Qualifications: Bachelor's or Master's degree in Computer Science, or a related technical field 10+ years of experience in data governance roles Experience integrating governance with modern data stacks (e.g.Data bricks, Snowflake) Strong experience in data governance tools (e.g., Alation, Unity Catalog ,Azure Purview,) Proven understanding of metadata management, data lineage, and data quality frameworks Experience in implementing federated governance models and data stewardship programs Knowledge of compliance requirements (GDPR, HIPAA,PII, etc.) Familiarity with data mesh principles and data contract approaches Excellent communication and stakeholder management skills Certification in data governance or management frameworks

Overview earch, logistics, linguistics, or other behaviors. They utilize technical expertise to ensure data is accurate and high-quality. Data is then analyzed, designed, and presented in a way that assists individuals, businesses, and organizations make better decisions. Using automated tools to extract data from primary and secondary sources Removing corrupted data and fixing coding errors and related problems Developing and maintaining databases, and data systems - reorganizing data in a readable format Performing analysis to assess the quality and meaning of data Filter Data by reviewing reports and performance indicators to identify and correct code problems Using statistical tools to identify, analyze, and interpret patterns and trends in complex data sets could be helpful for the diagnosis and prediction Assigning numerical value to essential business functions so that business performance can be assessed and compared over periods of time. Analyzing local, national, and global trends that impact both the organization and the industry Preparing reports for the management stating trends, patterns, and predictions using relevant data Working with programmers, engineers, and management heads to identify process improvement opportunities, propose system modifications, and devise data governance strategies. Preparing final analysis reports for the stakeholders to understand the data-analysis steps, enabling them to take important decisions based on various facts and trends. Tagged as: data analyst Before applying for this position you need to submit your online resume . Click the button below to continue. About Cadila zydus healthcare pvt ltd earch, logistics, linguistics, or other behaviors. They utilize technical expertise to ensure data is accurate and high-quality. Data is then analyzed, designed, and presented in a way that assists individuals, businesses, and organizations make better decisions. Using automated tools to extract data from primary and secondary sources Removing corrupted data and fixing coding errors and related problems Developing and maintaining databases, and data systems - reorganizing data in a readable format Performing analysis to assess the quality and meaning of data Filter Data by reviewing reports and performance indicators to identify and correct code problems Using statistical tools to identify, analyze, and interpret patterns and trends in complex data sets could be helpful for the diagnosis and prediction Assigning numerical value to essential business functions so that business performance can be assessed and compared over periods of time. Analyzing local, national, and global trends that impact both the organization and the industry Preparing reports for the management stating trends, patterns, and predictions using relevant data Working with programmers, engineers, and management heads to identify process improvement opportunities, propose system modifications, and devise data governance strategies. Preparing final analysis reports for the stakeholders to understand the data-analysis steps, enabling them to take important decisions based on various facts and trends. Related Jobs Senior Data Analyst Bizessence Pty Ltd pune Full Time 2023-10-16

We are looking for data engineers who have the right attitude, aptitude, skills, empathy, compassion, and hunger for learning. Build products in the data analytics space. A passion for shipping high-quality data products, interest in the data products space; curiosity about the bigger picture of building a company, product development and its people. Roles and Responsibilities Develop and manage robust ETL pipelines using Apache Spark (Scala) Understand Spark concepts, performance optimization techniques, and governance tools Develop a highly scalable, reliable, and high-performance data processing pipeline to extract, transform, and load data from various systems to the Enterprise Data Warehouse/Data Lake/Data Mesh hosted on AWS or Azure Collaborate cross-functionally to design effective data solutions Implement data workflows utilizing AWS Step Functions or Azure Logic Apps for efficient orchestration. Leverage AWS Glue and Crawler or Azure Data Factory and Data Catalog for seamless data cataloging and automation Monitor, troubleshoot, and optimize pipeline performance and data quality Maintain high coding standards and produce thorough documentation. Contribute to high-level (HLD) and low-level (LLD) design discussions Technical Skills Minimum 6 years of progressive experience building solutions in Big Data environments Have a strong ability to build robust and resilient data pipelines which are scalable, fault tolerant, and reliable in terms of data movement 3+ years of hands-on expertise in Python, Spark, and Kafka Strong command of AWS or Azure services Strong hands-on capabilities on SQL and NoSQL technologies Sound understanding of data warehousing, modeling, and ETL concepts Familiarity with High-Level Design (HLD) and Low-Level Design (LLD) principles Excellent written and verbal communication skills

What We Are Looking Mandatory collibra tool experience With Collibra tool experience, Data Governance, Data Quality, Data Lineage, Data Analysis, Data Mapping, Data Management . Kindly Share CV'S to afreen.banu@in.experis.com Along with your Alternate MAIL ID'S And Contact Number.

Job Description: An experienced leader with proven track record in leading Data strategy, governance, integration with the skills to influence at every level, imparting digital knowledge and skills in a constructive, empowering, and collaborative way. Working closely with Business Unit Leadership team to drive organization's Data transformation by taking holistic view of the organizations Data presence & lead company through its Data transformation & growth by making use of newer digital technologies viz. MES, Industry 4.0 solutions, AR/Wearables, VR, AI, Image Analytics, Blockchain, Big data & Analytics, Smart sensors, Mobility etc. Have practical experience of driving & implementing most of above digital technologies preferably in auto component / mfg. industries successfully to achieve desired business results thru’ measurable KPIs. Role Objective: Formulate & execute Data strategy addressing opportunities & risks associated with it Communicate Data strategies, governance across company and departmental boundaries and serve as a cross-functional change agent across the organization to ensure alignment to digital strategy Implement Data strategy by working with cross-functional partners to map and transition traditional processes to digital ones Create new value through the smart use of digital tools, platforms, technologies, services, and processes Embrace new opportunities presented by digital technologies such as social media, mobility, analytics, embedded devices etc. Ability to demonstrate benefits of Data strategy, Governance and Integration for the Digital transformation to decision makers Possess business acumen including specific know how on strategy, transformation and change management Understand IT applications, underlying infrastructures along with knowledge on upgrades & modifications Extensive understanding of digital structures & products Champion use of digital technology and practices to engender a Data-First mindset from the top down, educate leadership on the impact of digital technology on business with appropriate data Ensure collaboration, knowledge sharing, and digital best practices between partners and colleagues to help embed a robust digital ecosystem. Identify any technological gaps and challenges and determine how to respond to them appropriately to improve company’s performance using better Data Strategies Ability to make & present business case to measure ROI on digital projects, fine-tuning approaches as needed to ensure organization invests in right tools, technologies, and resources. Act as a catalyst and driver of change, bringing a new culture and mindset for Data-First, and new ways of working to the enterprise. Responsibilities: Develop a clearly defined and compelling Data strategy for the organization’s future success in digital endeavours. Keep the strategy fresh by staying up to date with industry trends, latest technological innovations, changes in competition, and shifts in the industry, and adapting to the ever-changing digital atmosphere. Ensure that all relevant digital initiatives are fully integrated into the strategic-planning process for leadership commitment, resource allocation and execution. Using Data-First approach, periodic benchmarking from auto component industries, understand current digital capabilities & gaps w.r. to benchmarking data & develop a plan to execute effectively Data Analytics strategy, with measurement of ROI and alignment with company’s overall business strategy. Own and centrally monitor the digital innovation project portfolio using Data-First approach and to calculate ROI & report outcomes of the initiated projects. Identify, Evaluate new tools & technologies – AI, AR, ML, Industry 4.0, Digital, CRM, MES, Automation tools etc., which can be used for Data Strategy, Governance, Analytics and Integration. Enable more effective use of online, mobile, and other digital platforms for supporting resource mobilization and growth Expands organization’s visibility and audience through key channels and platforms Introduce and implement best-in class approaches for Data/Analytics/Integration knowledge management Work closely with HR to attract and retain top talent, and to build digital capabilities across the company Skills and Qualifications Strong domain experience of min 10-15 years in a Mfg., Engineering, Automotive industry Implementation experience of Data-First approach in driving business values/ROI and effective decision making Very good understanding & working knowledge on various business applications, ERP applications (SAP, Oracle) Good understanding on IT, OT infra & security Min 3-5 years’ experience in a similar role of designing, driving & implementing Data strategy, leading a cutting-edge digital operation with a variety of integrated capabilities Proven track record of leading successful digital transformation projects Managerial ability to lead and see programs through to fruition. Patience to navigate complex organizational structures, collaborate to get buy-in across functions and diplomatically challenge the status-quo and solidify relationships with a broad group of people Understand core business processes and associated technical solutions Have an innovative and disruptive mindset, constantly looking forward Experience managing and leading a digital team Proven influencing and collaboration skills Preferred Qualifications An Engineering graduate from a reputed institute with additional qualifications in Data, Business Analytics, Integration, IT, or emerging digital technologies. Additional certifications in Data Science, Data Analytics, Program mgmt., Software development, Newer digital technologies, Web development, Analytics etc. will be preferred.

About the Job : We are seeking a highly skilled and experienced Senior Data Engineer to join our dynamic team. In this pivotal role, you will be instrumental in driving our data engineering initiatives, with a strong emphasis on leveraging Dataiku's capabilities to enhance data processing and analytics. You will be responsible for designing, developing, and optimizing robust data pipelines, ensuring seamless integration of diverse data sources, and maintaining high data quality and accessibility to support our business intelligence and advanced analytics projects. This role requires a unique blend of expertise in traditional data engineering principles, advanced data modeling, and a forward-thinking approach to integrating cutting-AI technologies, particularly LLM Mesh for Generative AI applications. If you are passionate about building scalable data solutions and are eager to explore the cutting edge of AI, we encourage you to apply. Key Responsibilities : - Dataiku Leadership : Drive data engineering initiatives with a strong emphasis on leveraging Dataiku capabilities for data preparation, analysis, visualization, and the deployment of data solutions. - Data Pipeline Development : Design, develop, and optimize robust and scalable data pipelines to support various business intelligence and advanced analytics projects. This includes developing and maintaining ETL/ELT processes to automate data extraction, transformation, and loading from diverse sources. - Data Modeling & Architecture : Apply expertise in data modeling techniques to design efficient and scalable database structures, ensuring data integrity and optimal performance. - ETL/ELT Expertise : Implement and manage ETL processes and tools to ensure efficient and reliable data flow, maintaining high data quality and accessibility. - Gen AI Integration : Explore and implement solutions leveraging LLM Mesh for Generative AI applications, contributing to the development of innovative AI-powered features. - Programming & Scripting : Utilize programming languages such as Python and SQL for data manipulation, analysis, automation, and the development of custom data solutions. - Cloud Platform Deployment : Deploy and manage scalable data solutions on cloud platforms such as AWS or Azure, leveraging their respective services for optimal performance and cost-efficiency. - Data Quality & Governance : Ensure seamless integration of data sources, maintaining high data quality, consistency, and accessibility across all data assets. Implement data governance best practices. - Collaboration & Mentorship : Collaborate closely with data scientists, analysts, and other stakeholders to understand data requirements and deliver impactful solutions. Potentially mentor junior team members. - Performance Optimization : Continuously monitor and optimize the performance of data pipelines and data systems. Required Skills & Experience : - Proficiency in Dataiku : Demonstrable expertise in Dataiku for data preparation, analysis, visualization, and building end-to-end data pipelines and applications. - Expertise in Data Modeling : Strong understanding and practical experience in various data modeling techniques (e.g., dimensional modeling, Kimball, Inmon) to design efficient and scalable database structures. - ETL/ELT Processes & Tools : Extensive experience with ETL/ELT processes and a proven track record of using various ETL tools (e.g., Dataiku's built-in capabilities, Apache Airflow, Talend, SSIS, etc.). - Familiarity with LLM Mesh : Familiarity with LLM Mesh or similar frameworks for Gen AI applications, understanding its concepts and potential for integration. - Programming Languages : Strong proficiency in Python for data manipulation, scripting, and developing data solutions. Solid command of SQL for complex querying, data analysis, and database interactions. - Cloud Platforms : Knowledge and hands-on experience with at least one major cloud platform (AWS or Azure) for deploying and managing scalable data solutions (e.g., S3, EC2, Azure Data Lake, Azure Synapse, etc.). - Gen AI Concepts : Basic understanding of Generative AI concepts and their potential applications in data engineering. - Problem-Solving : Excellent analytical and problem-solving skills with a keen eye for detail. - Communication : Strong communication and interpersonal skills to collaborate effectively with cross-functional teams. Bonus Points (Nice to Have) : - Experience with other big data technologies (e.g., Spark, Hadoop, Snowflake). - Familiarity with data governance and data security best practices. - Experience with MLOps principles and tools. - Contributions to open-source projects related to data engineering or AI. Education : Bachelor's or Master's degree in Computer Science, Data Science, Engineering, or a related quantitative field.

Role The purpose of this role is to provide strategic guidance and recommendations on pricing of contracts being executed in the assigned SBU while maintaining the competitive advantage and profit margins. Responsible for ensuring the SoW adherence to internal guidelines of all contracts in the SBU. Do - Contract pricing review and advise - Pricing strategy deployment - Drive the deployment of pricing strategy for the SBU/ Vertical / Account in line with the overall pricing strategy for Wipro - Partner and educate the Business Leaders about adherence to the pricing strategy, internal guidelines and SoW. - Business partnering for advice on contract commercials - Work closely with pre-sales and BU leadership to review the contracts about to be finalized and provide inputs on its structuring, payment milestones and terms & conditions - Review the Resources Loading Sheet (RLS)) submitted by pre-sales / delivery team and work on the contract pricing - Collaborate with the business leaders to propose a competitive pricing basis the effort estimate by considering the cost of resources, skills availability and identified premium skills - Review adherence of contract's commercial terms and conditions - Review the commercial terms and conditions proposed in the SoW - Ensure they are aligned with internal guidelines for credit period and the existing MSAs and recommend payment milestones - Ensure accurate revenue recognition and provide forecast - Implement and drive adherence to revenue recognition guidelines - Ensure revenue recognition by the BFMs / Service Line Finance Manage are done as per the IFRS standards - Partner with Finance Managers and educate them on revenue recognition standards and internal guidelines of Wipro - Provide accurate and timely forecast of revenue for the assigned SBU/ Vertical / Cluster / Accounts - Validation of order booking - Adherence to order booking guidelines - Oversee and ensure all documents, approvals and guidelines are adhered before the order is confirmed in the books of accounts - Highlight any deviations to the internal guidelines / standards and work with the concerned teams to address the deviations - Team Management - Team Management - Clearly define the expectations for the team - Assign goals for the team, conduct timely performance reviews and provide constructive feedback to own direct reports - Guide the team members in acquiring relevant knowledge and develop their professional competence - Educate and build awareness in the team in Wipro guidelines on revenue recognition, pricing strategy, contract terms and MSA - Ensure that the Performance Nxt is followed for the entire team - Employee Satisfaction and Engagement - Lead and drive engagement initiatives for the team - Track team satisfaction scores and identify initiatives to build engagement within the team Deliver 1. Financials Monetizing Wipro's efforts and value additions Comprehensiveness of pricing recommendations Accurate inputs in forecasting of revenue as per revenue recognition guidelines 2. Internal Customer Completeness of contracts checklist before order booking 3. Team Management Team attrition %, Employee satisfaction score, localization %, gender diversity % Training and skill building of team on pricing operations Mandatory Skills: Data Governance.: Experience: 5-8 Years.

Technical Solution Architect SAP ABAP: As a Technical Solution Architect at Wipro Technologies, you will leverage your extensive experience in SAP ABAP to lead transformative projects that enhance our clients' operational efficiency. With a background of 15+ years in SAP Technical roles, you will play a pivotal part in designing and implementing cutting-edge solutions that are aligned with business needs. You will have at least 8 years of relevant experience in a Solution Architect role, or 5 years as a Senior Solution Developer or 3 years as a Solution Developer working directly with SAP ABAP in varied customer engagements. It is essential to have a strong understanding of other programming languages such as JavaScript, HTML5, and CSS, as well as familiarity with HANA, SAPUI5, XSLT, and Java. Your expertise in Data Migration methodologies like LTMC/LSMW, along with tools such as AIF and Process Integration/Orchestration, will set you apart in this role. Having skills in Cloud Platform Integration , Business Technology Platform, and Fiori development will be a notable advantage, contributing to our agile solutions. A solid grasp of S/4HANA Technical concepts and Business Technology Platform (BTP) is highly valued. Ideally, you possess specialized knowledge in enhancing applications like MDG Master Data Governance, GTS Global Trade Services, eWM (Warehouse Management), and TM (Transport Management). Familiarity with ABAP on cloud environments and GitHub-based development will enhance your capability to drive innovation. Your experience with at least one SAP module in logistics, Sales, or Finance will be beneficial. Experience in Agile Scrum methodologies and DevOps practices will contribute to project success. We appreciate individuals who can work independently, manage their tasks efficiently, and have a fervent interest in leveraging the latest technologies for project work. Competencies: At Wipro Technologies, we believe in fostering a culture of growth and innovation. As a Technical Solution Architect, we expect you to embody the following competencies: Innovate and Lead Change: Embrace challenges and drive meaningful change in your projects. Passion for Results: Demonstrate relentless ambition to deliver high-quality work and achieve outcomes that exceed expectations. Always One Wipro: Collaborate effectively, share knowledge, and support your colleagues in their endeavors. Nurture Client Obsession: Build strong relationships with clients and prioritize their needs to deliver lasting solutions. Grow Our People: Mentor and guide team members to foster their professional development. Mandatory Skills: The following skills are essential for success in this position: SAP ABAP: Proficiency in SAP ABAP programming is mandatory for this role. HANA: Familiarity and experience with SAP HANA environments is crucial for implementation and troubleshooting. External Title: Technical Consultant - L4 In your role as a Technical Consultant - L4 at Wipro, you will be positioned at the forefront of digital transformation initiatives. This title reflects your expertise and responsibilities in shaping solutions that are not only effective but also innovative, showing our commitment to advancing technology in our client's operations. Mandatory Skills: SAP ABAP HANA. Experience: >10 YEARS.

The purpose of the role is to define and develop Enterprise Data Structure along with Data Warehouse, Master Data, Integration and transaction processing with maintaining and strengthening the modelling standards and business information. Do 1. Define and Develop Data Architecture that aids organization and clients in new/ existing deals a. Partnering with business leadership (adopting the rationalization of the data value chain) to provide strategic, information-based recommendations to maximize the value of data and information assets, and protect the organization from disruptions while also embracing innovation b. Assess the benefits and risks of data by using tools such as business capability models to create an data-centric view to quickly visualize what data matters most to the organization, based on the defined business strategy c. Create data strategy and road maps for the Reference Data Architecture as required by the clients d. Engage all the stakeholders to implement data governance models and ensure that the implementation is done based on every change request e. Ensure that the data storage and database technologies are supported by the data management and infrastructure of the enterprise f. Develop, communicate, support and monitor compliance with Data Modelling standards g. Oversee and monitor all frameworks to manage data across organization h. Provide insights for database storage and platform for ease of use and least manual work i. Collaborate with vendors to ensure integrity, objectives and system configuration j. Collaborate with functional & technical teams and clients to understand the implications of data architecture and maximize the value of information across the organization k. Presenting data repository, objects, source systems along with data scenarios for the front end and back end usage l. Define high-level data migration plans to transition the data from source to target system/ application addressing the gaps between the current and future state, typically in sync with the IT budgeting or other capital planning processes m. Knowledge of all the Data service provider platforms and ensure end to end view. n. Oversight all the data standards/ reference/ papers for proper governance o. Promote, guard and guide the organization towards common semantics and the proper use of metadata p. Collecting, aggregating, matching, consolidating, quality-assuring, persisting and distributing such data throughout an organization to ensure a common understanding, consistency, accuracy and control q. Provide solution of RFPs received from clients and ensure overall implementation assurance i. Develop a direction to manage the portfolio of all the databases including systems, shared infrastructure services in order to better match business outcome objectives ii. Analyse technology environment, enterprise specifics, client requirements to set a collaboration solution for the big/small data iii. Provide technical leadership to the implementation of custom solutions through thoughtful use of modern technology iv. Define and understand current issues and problems and identify improvements v. Evaluate and recommend solutions to integrate with overall technology ecosystem keeping consistency throughout vi. Understand the root cause problem in integrating business and product units vii. Validate the solution/ prototype from technology, cost structure and customer differentiation point of view viii. Collaborating with sales and delivery leadership teams to identify future needs and requirements ix. Tracks industry and application trends and relates these to planning current and future IT needs 2. Building enterprise technology environment for data architecture management a. Develop, maintain and implement standard patterns for data layers, data stores, data hub & lake and data management processes b. Evaluate all the implemented systems to determine their viability in terms of cost effectiveness c. Collect all the structural and non-structural data from different places integrate all the data in one database form d. Work through every stage of data processing: analysing, creating, physical data model designs, solutions and reports e. Build the enterprise conceptual and logical data models for analytics, operational and data mart structures in accordance with industry best practices f. Implement the best security practices across all the data bases based on the accessibility and technology g. Strong understanding of activities within primary discipline such as Master Data Management (MDM), Metadata Management and Data Governance (DG) h. Demonstrate strong experience in Conceptual, Logical and physical database architectures, design patterns, best practices and programming techniques around relational data modelling and data integration 3. Enable Delivery Teams by providing optimal delivery solutions/ frameworks a. Build and maintain relationships with delivery and practice leadership teams and other key stakeholders to become a trusted advisor b. Define database physical structure, functional capabilities, security, back-up and recovery specifications c. Develops and establishes relevant technical, business process and overall support metrics (KPI/SLA) to drive results d. Monitor system capabilities and performance by performing tests and configurations e. Integrate new solutions and troubleshoot previously occurred errors f. Manages multiple projects and accurately reports the status of all major assignments while adhering to all project management standards g. Identify technical, process, structural risks and prepare a risk mitigation plan for all the projects h. Ensure quality assurance of all the architecture or design decisions and provides technical mitigation support to the delivery teams i. Recommend tools for reuse, automation for improved productivity and reduced cycle times j. Help the support and integration team for better efficiency and client experience for ease of use by using AI methods. k. Develops trust and builds effective working relationships through respectful, collaborative engagement across individual product teams l. Ensures architecture principles and standards are consistently applied to all the projects m. Ensure optimal Client Engagement i. Support pre-sales team while presenting the entire solution design and its principles to the client ii. Negotiate, manage and coordinate with the client teams to ensure all requirements are met iii. Demonstrate thought leadership with strong technical capability in front of the client to win the confidence and act as a trusted advisor Mandatory Skills: Dataiku. Experience: 8-10 Years.

The purpose of the role is to define and develop Enterprise Data Structure along with Data Warehouse, Master Data, Integration and transaction processing with maintaining and strengthening the modelling standards and business information. Do 1. Define and Develop Data Architecture that aids organization and clients in new/ existing deals a. Partnering with business leadership (adopting the rationalization of the data value chain) to provide strategic, information-based recommendations to maximize the value of data and information assets, and protect the organization from disruptions while also embracing innovation b. Assess the benefits and risks of data by using tools such as business capability models to create an data-centric view to quickly visualize what data matters most to the organization, based on the defined business strategy c. Create data strategy and road maps for the Reference Data Architecture as required by the clients d. Engage all the stakeholders to implement data governance models and ensure that the implementation is done based on every change request e. Ensure that the data storage and database technologies are supported by the data management and infrastructure of the enterprise f. Develop, communicate, support and monitor compliance with Data Modelling standards g. Oversee and monitor all frameworks to manage data across organization h. Provide insights for database storage and platform for ease of use and least manual work i. Collaborate with vendors to ensure integrity, objectives and system configuration j. Collaborate with functional & technical teams and clients to understand the implications of data architecture and maximize the value of information across the organization k. Presenting data repository, objects, source systems along with data scenarios for the front end and back end usage l. Define high-level data migration plans to transition the data from source to target system/ application addressing the gaps between the current and future state, typically in sync with the IT budgeting or other capital planning processes m. Knowledge of all the Data service provider platforms and ensure end to end view. n. Oversight all the data standards/ reference/ papers for proper governance o. Promote, guard and guide the organization towards common semantics and the proper use of metadata p. Collecting, aggregating, matching, consolidating, quality-assuring, persisting and distributing such data throughout an organization to ensure a common understanding, consistency, accuracy and control q. Provide solution of RFPs received from clients and ensure overall implementation assurance i. Develop a direction to manage the portfolio of all the databases including systems, shared infrastructure services in order to better match business outcome objectives ii. Analyse technology environment, enterprise specifics, client requirements to set a collaboration solution for the big/small data iii. Provide technical leadership to the implementation of custom solutions through thoughtful use of modern technology iv. Define and understand current issues and problems and identify improvements v. Evaluate and recommend solutions to integrate with overall technology ecosystem keeping consistency throughout vi. Understand the root cause problem in integrating business and product units vii. Validate the solution/ prototype from technology, cost structure and customer differentiation point of view viii. Collaborating with sales and delivery leadership teams to identify future needs and requirements ix. Tracks industry and application trends and relates these to planning current and future IT needs 2. Building enterprise technology environment for data architecture management a. Develop, maintain and implement standard patterns for data layers, data stores, data hub & lake and data management processes b. Evaluate all the implemented systems to determine their viability in terms of cost effectiveness c. Collect all the structural and non-structural data from different places integrate all the data in one database form d. Work through every stage of data processing: analysing, creating, physical data model designs, solutions and reports e. Build the enterprise conceptual and logical data models for analytics, operational and data mart structures in accordance with industry best practices f. Implement the best security practices across all the data bases based on the accessibility and technology g. Strong understanding of activities within primary discipline such as Master Data Management (MDM), Metadata Management and Data Governance (DG) h. Demonstrate strong experience in Conceptual, Logical and physical database architectures, design patterns, best practices and programming techniques around relational data modelling and data integration 3. Enable Delivery Teams by providing optimal delivery solutions/ frameworks a. Build and maintain relationships with delivery and practice leadership teams and other key stakeholders to become a trusted advisor b. Define database physical structure, functional capabilities, security, back-up and recovery specifications c. Develops and establishes relevant technical, business process and overall support metrics (KPI/SLA) to drive results d. Monitor system capabilities and performance by performing tests and configurations e. Integrate new solutions and troubleshoot previously occurred errors f. Manages multiple projects and accurately reports the status of all major assignments while adhering to all project management standards g. Identify technical, process, structural risks and prepare a risk mitigation plan for all the projects h. Ensure quality assurance of all the architecture or design decisions and provides technical mitigation support to the delivery teams i. Recommend tools for reuse, automation for improved productivity and reduced cycle times j. Help the support and integration team for better efficiency and client experience for ease of use by using AI methods. k. Develops trust and builds effective working relationships through respectful, collaborative engagement across individual product teams l. Ensures architecture principles and standards are consistently applied to all the projects m. Ensure optimal Client Engagement i. Support pre-sales team while presenting the entire solution design and its principles to the client ii. Negotiate, manage and coordinate with the client teams to ensure all requirements are met iii. Demonstrate thought leadership with strong technical capability in front of the client to win the confidence and act as a trusted advisor Mandatory Skills: Data Governance. Experience: 8-10 Years.

Position Overview : We are seeking an experienced Data Catalog Lead to lead the implementation and ongoing development of enterprise data catalog using Collibra. This role focuses specifically on healthcare payer industry requirements, including complex regulatory compliance, member data privacy, and multi-system data integration challenges unique to health plan operations. Key Responsibilities : - Data Catalog Implementation & Development - Configure and customize Collibra workflows, data models, and governance processes to support health plan business requirements - Develop automated data discovery and cataloging processes for healthcare data assets including claims, eligibility, provider networks, and member information - Design and implement data lineage tracking across complex healthcare data ecosystems spanning core administration systems, data warehouses, and analytics platforms - Healthcare-Specific Data Governance - Build specialized data catalog structures for healthcare data domains including medical coding systems (ICD-10, CPT, HCPCS), pharmacy data (NDC codes), and provider taxonomies - Configure data classification and sensitivity tagging for PHI (Protected Health Information) and PII data elements in compliance with HIPAA requirements - Implement data retention and privacy policies within Collibra that align with healthcare regulatory requirements and member consent management - Develop metadata management processes for regulatory reporting datasets (HEDIS, Medicare Stars, MLR reporting, risk adjustment) Technical Integration & Automation : - Integrate Collibra with healthcare payer core systems including claims processing platforms, eligibility systems, provider directories, and clinical data repositories - Implement automated data quality monitoring and profiling processes that populate the data catalog with technical and business metadata - Configure Collibra's REST APIs to enable integration with existing data governance tools and business intelligence platforms Required Qualifications : - Collibra Platform Expertise - 8+ years of hands-on experience with Collibra Data Intelligence Cloud platform implementation and administration - Expert knowledge of Collibra's data catalog, data lineage, and data governance capabilities - Proficiency in Collibra workflow configuration, custom attribute development, and role-based access control setup - Experience with Collibra Connect for automated metadata harvesting and system integration - Strong understanding of Collibra's REST APIs and custom development capabilities - Healthcare Payer Industry Knowledge - 4+ years of experience working with healthcare payer/health plan data environments - Deep understanding of healthcare data types including claims (professional, institutional, pharmacy), eligibility, provider data, and member demographics - Knowledge of healthcare industry standards including HL7, X12 EDI transactions, and FHIR specifications - Familiarity with healthcare regulatory requirements (HIPAA, ACA, Medicare Advantage, Medicaid managed care) - Understanding of healthcare coding systems (ICD-10-CM/PCS, CPT, HCPCS, NDC, SNOMED CT) Technical Skills : - Strong SQL skills and experience with healthcare databases (claims databases, clinical data repositories, member systems) - Knowledge of cloud platforms (AWS, Azure, GCP) and their integration with Collibra cloud services - Understanding of data modeling principles and healthcare data warehouse design patterns Data Governance & Compliance : - Experience implementing data governance frameworks in regulated healthcare environments - Knowledge of data privacy regulations (HIPAA, state privacy laws) and their implementation in data catalog tools - Understanding of data classification, data quality management, and master data management principles - Experience with audit trail requirements and compliance reporting in healthcare organizations Preferred Qualifications : - Advanced Healthcare Experience - Experience with specific health plan core systems (such as HealthEdge, Facets, QNXT, or similar platforms) - Knowledge of Medicare Advantage, Medicaid managed care, or commercial health plan operations - Understanding of value-based care arrangements and their data requirements - Experience with clinical data integration and population health analytics Technical Certifications & Skills : - Collibra certification (Data Citizen, Data Steward, or Technical User) - Experience with additional data catalog tools (Alation, Apache Atlas, IBM Watson Knowledge Catalog) - Knowledge of data virtualization tools and their integration with data catalog platforms - Experience with healthcare interoperability standards and API management

Senior Data Engg2 We are looking for a Senior Data Platform Engineer to lead the design, development, andoptimization of our data platform infrastructure. In this role, you will drive scalability, reliability,and performance across our data systems, working closely with data engineers, analysts, andproduct teams to enable data-driven decision-making at scale. Required Skills & ExperienceArchitect and implement scalable, secure, and high-performance data platforms (onAWS cloud using Databbricks). Build and manage data pipelines and ETL processes using modern data engineeringtools (AWS RDS, REST APIs and, S3 based ingestions ) Monitor the Maintain the production data pipelines, work on enhancements Optimize data systems for performance, reliability, and cost efficiency. Implement data governance, quality, and observability best practices as per Freshworksstandards Collaborate with cross-functional teams to support data needs.Qualifications:1. Bachelor''s/Masters degree in Computer Science, Information Technology, or relatedfield.2. Good exposure to Data structures and algorithms3. Proven backend development experience using Scala, Spark or Python4. Strong understanding of REST API development, web services, and microservicesarchitecture.5. Good to have experience with Kubernetes and containerized deployment.6. Proficient in working with relational databases like MySQL, PostgreSQL, or similarplatforms.7. Solid understanding and hands-on experience with AWS cloud services.8. Strong knowledge of code versioning tools, such as Git, Jenkins9. Excellent problem-solving skills, critical thinking, and a keen attention to detail.

Must Have Skills: 5-8 years of overall experience 5 years' experience in designing, implementing, and documenting data architecture and data modeling solutions, which include the use of Azure SQL and Snowflake databases and SQL procedures. Knowledge of relational databases and data architecture computer systems, including SQL Be responsible for the development of conceptual, logical, and physical data models, the implementation of operational data store (ODS), data marts, and data lakes on target platforms (Azure SQL and Snowflake databases). Knowledge of ER modeling, big data, enterprise data, and physical data models Oversee and govern the expansion of existing data architecture and the optimization of data query performance via best practices. The candidate must be able to work independently and collaboratively. Work with business and application/solution teams to implement data strategies, build data flows, and develop conceptual/logical/physical data models Define and govern data modeling and design standards, tools, best practices, and related development for enterprise data models. Identify the architecture, infrastructure, and interfaces to data sources, tools supporting automated data loads, security concerns, analytic models, and data visualization. Hands-on modeling, design, configuration, installation, performance tuning, and sandbox POC. Work proactively and independently to address project requirements and articulate issues/challenges to reduce project delivery risks. Must have a strong knowledge of Data Quality and Data Governance. Must have knowledge of ETL. Professional Skills: Solid written, verbal, and presentation communication skills. Strong team and individual player. Maintains composure during all types of situations and is collaborative by nature. High standards of professionalism, consistently producing high-quality results. Self-sufficient, independent requiring little supervision or intervention. Demonstrate flexibility and openness to bring creative solutions to address issues.