2293 Data Governance Jobs - Page 39

Responsibilities: Data Quality Implementation & Monitoring (Acceldata & Demand Tools): Design, develop, and implement data quality rules and checks using Acceldata to monitor data accuracy, completeness, consistency, and timeliness. Configure and utilize Acceldata to profile data, identify anomalies, and establish data quality thresholds. Investigate and resolve data quality issues identified by Acceldata, working with relevant teams for remediation. Leverage DemandTools within our Salesforce environment to identify, merge, and prevent duplicate records across Leads, Contacts, and Accounts. Implement data standardization and cleansing processes within Salesforce using DemandTools. Develop and maintain data quality dashboards and reports using Acceldata to provide visibility into data health. Data Onboarding & Integration Quality: Collaborate with engineers and platform teams to understand data sources and pipelines built using Fivetran / ingestion tool. Ensure data transformations within Fivetran to maintain data integrity and quality. Develop and execute test plans and test cases to validate the successful and accurate onboarding of data into our snowflake environment. Metadata Management & Data Governance: Work with the Atlan platform to understand and contribute to the establishment of a comprehensive data catalog. Assist in defining and implementing data governance policies and standards within Atlan. Validate the accuracy and completeness of metadata within Atlan to ensure data discoverability and understanding. Collaborate on data lineage tracking and impact analysis using Atlan. Collaboration & Communication: Work closely with data engineers, platform team, data analysts, business stakeholders, and Salesforce administrators. Clearly communicate data quality findings, risks, and remediation steps. Participate in data governance meetings and contribute to the development of data quality best practices. Document data quality rules, processes, and monitoring procedures. Required Skills & Experience: Proven experience (e.g., 3+ years) as a Data Quality Engineer or similar role. Hands-on experience with Fivetran / data ingestion application for data integration and understanding its data transformation capabilities. Familiarity with Atlan or other modern data catalog and metadata management tools. Strong practical experience with Acceldata or similar data quality monitoring and observability platforms. Familiarity in using DemandTools for data quality management within Salesforce. Solid understanding of data quality principles, methodologies, and best practices. Strong SQL skills for data querying and analysis. Experience with data profiling and data analysis techniques. Excellent analytical, problem-solving, and troubleshooting skills. Strong communication and collaboration skills. Ability to work independently and manage tasks effectively in a remote environment. Preferred Skills & Experience: Experience with other data quality tools or frameworks. Knowledge of data warehousing concepts and technologies (e.g., Snowflake, BigQuery). Experience with scripting languages like Python for data manipulation and automation. Familiarity with Salesforce data model and administration.

Educational Bachelor of Engineering Service Line Enterprise Package Application Services Responsibilities Lead multiple master data engagements in US & EU across industry verticals like Manufacturing, Pharma, Retail, Energy, Utilities Etc Handle diverse teams based at Onsite & offshore for the delivery of the master data projects Participate in proposal conversions and ensure their 100% billability in projects Provide thought leadership on master data best practices, business value articulation, tool capability and suggestions, governance principles, concepts and techniques Mentoring Infosys teams & improving the consulting & delivery capability Carry out assessment of Clients master data landscape, data maturity, governance & quality, business pain points and identification of capability gaps, conduct design workshops Define master data strategy and roadmap initiatives Design master data solution architecture, internal & external application integration, security, performance and scalability strategies to support the various business capabilities Additional Responsibilities: Candidate should have experience in engaging with large organizations providing expert advice, consulting on various master data governance topics, defining strategy & roadmap. Able to influence decisions, lead multiple engagements, participate in proposal making and delivery. Must have good Client engagement and co-ordination skills. Possess good knowledge of SAP master data and data quality tools. In-depth knowledge of Techno Functional SAP MDG is a must.Location of posting - Infosys Ltd. is committed to ensuring you have the best experience throughout your journey with us. We currently have open positions in a number of locations across India - Bangalore, Pune, Hyderabad, Chennai, Chandigarh, Trivandrum, Indore, Nagpur, Mangalore, Noida, Bhubaneswar, Coimbatore, Mumbai, Jaipur, Vizag, Kolkata, Mysore, Hubli.While we work in accordance with business requirements, we shall strive to offer you the location of your choice, where possible. Technical and Professional : Candidate should have 14+ years of experience in Leading master data projects, expert data governance consulting , strategy & roadmap definition, architecting MDM solutions, leading and influencing decisions, implementing MDG solutions Expert knowledge of SAP MDG solution options including on-premise & cloud Innovative mindset for AI/ML capability and Use cases in data governance Master data domain knowledge should include Material, Customer, Vendor and Finance , etc MDM Integration knowledge with ERP and other internal/external applications Preferred Skills: SAP MDG Technology-SAP Functional-SAP MDG

P2 C1 STS Primary- Informatica IDQ 9 or higher Secondary- PL/SQL skills JD- IDQ/Informatica Developer experience working on transformations, mapplet, mapping and Scorecards Informatica Axon tool experience Experience Translating business rules into IDQ Rules, IDQ application deployment, Schedulers Knowledge with IDQ repository objects IDQ Performance management & Access management Understands concept for Data governance Experience with IDQ and Axon integration Informatica PowerCenter experience (9 higher) Experience with unix scripting IBM Information analyzer Good to have

Broad expertise in Fincrime Monitoring, AML, KYC, Sanctions Screening, Payment Screening, Fraud etc Proven risk & regulatory experience in financial services gained through management consulting, banking or other relevant industry practitioner or regulatory roles End to end project implementation and cross functional stakeholder management experience including agile project delivery Seasoned business analyst with experience in requirements analysis, requirements management and documentation, exposure to tools like JIRA, Confluence etc hands on with SQL queries Bachelor degree from a reputable Institute. Master degree preferably in a quantitative field Business, Data Science, Statistics, Computer Science, etc. Comfortable with ideation, solution design and development of thought leadership materials and documents to support practice development efforts Exposure to leading vendor products like Actimize, Fircosoft etc is a plus Experience in Data Science, Analytics, AI ML. Gen AI, Data Management, Data Architectures, Data Governance, platforms and applications is a plus Exposure to Consultative sales business development, pre-sales, RFP and proposal development and client management experience is a plus

Design and develop conceptual, logical, and physical data models for enterprise and application-level databases. Translate business requirements into well-structured data models that support analytics, reporting, and operational systems. Define and maintain data standards, naming conventions, and metadata for consistency across systems. Collaborate with data architects, engineers, and analysts to implement models into databases and data warehouses/lakes. Analyze existing data systems and provide recommendations for optimization, refactoring, and improvements. Create entity relationship diagrams (ERDs) and data flow diagrams to document data structures and relationships. Support data governance initiatives including data lineage, quality, and cataloging. Review and validate data models with business and technical stakeholders. Provide guidance on normalization, denormalization, and performance tuning of database designs. Ensure models comply with organizational data policies, security, and regulatory requirements.

Kafka Data Engineer Data Engineer to build and manage data pipelines that support batch and streaming data solutions. The role requires expertise in creating seamless data flows across platforms like Data Lake/Lakehouse in Cloudera, Azure Databricks, Kafka for both batch and stream data pipelines etc. Responsibilities Strong experience in develop, test, and maintain data pipelines (batch & stream) using Cloudera, Spark, Kafka and Azure services like ADF, Cosmos DB, Databricks, NoSQL DB/ Mongo DB etc. Strong programming skills in spark, python or scala & SQL. Optimize data pipelines to improve speed, performance, and reliability, ensuring that data is available for data consumers as required. Create ETL pipelines for downstream consumers by transform data as per business logic. Work closely with Data Architects and Data Analysts to align data solutions with business needs and ensure the accuracy and accessibility of data. Implement data validation checks and error handling processes to maintain high data quality and consistency across data pipelines. Strong analytical and problem solving skills, with a focus on optimizing data flows and addressing impacts in the data pipeline. Qualifications 8+ years of IT experience with at least 5+ years in data engineering and cloud-based data platforms. Strong experience with Cloudera/any Data Lake, Confluent/Apache Kafka, and Azure Data Services (ADF, Databricks, Cosmos DB). Deep knowledge of NoSQL databases (Cosmos DB, MongoDB) and data modeling for performance and scalability. Proven expertise in designing and implementing batch and streaming data pipelines using Databricks, Spark, or Kafka. Experience in creating scalable, reliable, and high-performance data solutions with robust data governance policies. Strong collaboration skills to work with stakeholders, mentor junior Data Engineers, and translate business needs into actionable solutions. Bachelors or masters degree in computer science, IT, or a related field.

Role Overview: We are looking for a skilled Data Visualization Software Developer Engineer with 6-8 years of experience in developing interactive dashboards and data-driven solutions using Looker and LookerML. The ideal candidate will have expertise in Google Cloud Platform (GCP) and BigQuery and a strong understanding of data visualization best practices. Experience in the media domain (OTT, DTH, Web) will be a plus. Key Responsibilities: Design, develop, and optimize interactive dashboards using Looker and LookerML. Work with BigQuery to create efficient data models and queries for visualization. Develop LookML models, explores, and derived tables to support business intelligence needs. Optimize dashboard performance by implementing best practices in data aggregation and visualization. Collaborate with data engineers, analysts, and business teams to understand requirements and translate them into actionable insights. Implement security and governance policies within Looker to ensure data integrity and controlled access. Leverage Google Cloud Platform (GCP) services to build scalable and reliable data solutions. Maintain documentation and provide training to stakeholders on using Looker dashboards effectively. Troubleshoot and resolve issues related to dashboard performance, data accuracy, and visualization constraints. Maintain and optimize existing Looker dashboards and reports to ensure continuity and alignment with business KPIs Understand, audit, and enhance existing LookerML models to ensure data integrity and performance Build new dashboards and data visualizations based on business requirements and stakeholder input Collaborate with data engineers to define and validate data pipelines required for dashboard development and ensure the timely availability of clean, structured data Document existing and new Looker assets and processes to support knowledge transfer, scalability, and maintenance Support the transition/handover process by acquiring detailed knowledge of legacy implementations and ensuring a smooth takeover Required Skills & Experience: 6-8 years of experience in data visualization and business intelligence using Looker and LookerML. Strong proficiency in writing and optimizing SQL queries, especially for BigQuery. Experience in Google Cloud Platform (GCP), particularly with BigQuery and related data services. Solid understanding of data modeling, ETL processes, and database structures. Familiarity with data governance, security, and access controls in Looker. Strong analytical skills and the ability to translate business requirements into technical solutions. Excellent communication and collaboration skills. Expertise in Looker and LookerML, including Explore creation, Views, and derived tables Strong SQL skills for data exploration, transformation, and validation Experience in BI solution lifecycle management (build, test, deploy, maintain) Excellent documentation and stakeholder communication skills for handovers and ongoing alignment Strong data visualization and storytelling abilities, focusing on user-centric design and clarity Preferred Qualifications: Experience working in the media industry (OTT, DTH, Web) and handling large-scale media datasets. Knowledge of other BI tools like Tableau, Power BI, or Data Studio is a plus. Experience with Python or scripting languages for automation and data processing. Understanding of machine learning or predictive analytics is an advantage.

Project Role : Application Developer Project Role Description : Design, build and configure applications to meet business process and application requirements. Must have skills : SAP HANA DB Administration Good to have skills : NAMinimum 5 year(s) of experience is required Educational Qualification : 15 years full time education Summary :As an Application Developer, you will design, build, and configure applications to meet business process and application requirements. A typical day involves collaborating with various teams to understand their needs, developing solutions, and ensuring that applications function seamlessly within the existing infrastructure. You will engage in problem-solving activities, contribute to key decisions, and manage the development process to deliver high-quality applications that align with business objectives. 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.- Monitor project progress and ensure timely delivery of application features. Professional & Technical Skills: - Must To Have Skills: Proficiency in SAP HANA DB Administration.- Strong understanding of database management and optimization techniques.- Experience with application development frameworks and methodologies.- Familiarity with performance tuning and troubleshooting in SAP HANA.- Ability to implement security measures and data governance practices. Additional Information:- The candidate should have minimum 5 years of experience in SAP HANA DB Administration.- This position is based at our Bengaluru office.- A 15 years full time education is required. Qualification 15 years full time education

Responsibilities / Qualifications: Candidate must have 5-6 years of IT working experience with at least 3 years of experience on AWS Cloud environment is preferred Ability to understand the existing system architecture and work towards the target architecture. Experience with data profiling activities, discover data quality challenges and document it. Experience with development and implementation of large-scale Data Lake and data analytics platform with AWS Cloud platform. Develop and unit test Data pipeline architecture for data ingestion processes using AWS native services. Experience with development on AWS Cloud using AWS data stores such as Redshift, RDS, S3, Glue Data Catalog, Lake formation, Apache Airflow, Lambda, etc Experience with development of data governance framework including the management of data, operating model, data policies and standards. Experience with orchestration of workflows in an enterprise environment. Working experience with Agile Methodology Experience working with source code management tools such as AWS Code Commit or GitHub Experience working with Jenkins or any CI/CD Pipelines using AWS Services Experience working with an on-shore / off-shore model and collaboratively work on deliverables. Good communication skills to interact with onshore team.

Skills requiredStrong SQL(minimum 6-7 years experience), Datawarehouse, ETL Data and Client Platform Tech project provides all data related services to internal and external clients of SST business. Ingestion team is responsible for getting and ingesting data into Datalake. This is Global team with development team at Shanghai, Pune, Dublin and Tampa. Ingestion team uses all Big Data technologies like Impala, Hive, Spark and HDFS. Ingestion team uses Cloud technologies such as Snowflake for cloud data storage. Responsibilities: You will gain an understanding of the complex domain model and define the logical and physical data model for the Securities Services business. You will also constantly improve the ingestion, storage and performance processes by analyzing them and possibly automating them wherever possible. You will be responsible for defining standards and best practices for the team in the areas of Code Standards, Unit Testing, Continuous Integration, and Release Management. You will be responsible for improving performance of queries from lake tables views You will be working with a wide variety of stakeholders source systems, business sponsors, product owners, scrum masters, enterprise architects and possess excellent communication skills to articulate challenging technical details to various class of people. You will be working in Agile Scrum and complete all assigned tasks JIRAs as per Sprint timelines and standards. Qualifications 5 8 years of relevant experience in Data Development, ETL and Data Ingestion and Performance optimization. Strong SQL skills are essential experience writing complex queries spanning multiple tables is required. Knowledge of Big Data technologies Impala, Hive, Spark nice to have. Working knowledge of performance tuning of database queries understanding the inner working of the query optimizer, query plans, indexes, partitions etc. Experience in systems analysis and programming of software applications in SQL and other Big Data Query Languages. Working knowledge of data modelling and dimensional modelling tools and techniques. Knowledge of working with high volume data ingestion and high volume historic data processing is required. Exposure to scripting language like shell scripting, python is required. Working knowledge of consulting project management techniques methods Knowledge of working in Agile Scrum Teams and processes. Experience in data quality, data governance, DataOps and latest data management techniques a plus. Education Bachelors degree University degree or equivalent experience

Educational Bachelor of Engineering,Bachelor Of Technology (Integrated),BCA,BSc,MTech,MSc,Master Of Business Management Service Line Enterprise Package Application Services Responsibilities You will be part of an innovative team that drives our Celonis initiatives and to dive into business processes to determine root causes, quantify potential, and establish and drive improvement initiatives that make businesses more efficient. You will set up and maintain data models that will be the basis of the analyses and work together closely with the business analysts to generate the customized set of analytics that serve as a single source of truth for business performance measurement as well as data-driven decision making. You are responsible for setting data dictionary and maintaining data governance on the created structure. You identify the best possible strategy for data collection, ensure the data quality and work together with the stakeholders responsible for the data input to ensure we can correctly measure and track all necessary information. Collaborate with source system experts to ensure the source systems are set up correctly to gather all relevant information and support the most effective data structures. Create and maintain comprehensive documentation for data models, processes, and systems to facilitate knowledge sharing. Technical and Professional : Celonis You have 2+ years of relevant work experience in process and data modelling. You have worked with data from ERP systems like SAP. You have a proven track record in using SQL and Python. You are a team player and can communicate data structural concepts and ideas to both technical and non-technical stakeholders. You have strong analytical skills and have an affinity with business concepts. Celonis Data Engineer/Implementation Professional certification will be an advantage. Celonis project experience will be a big plus. Preferred Skills: Foundational-Business Process Management-Business Process Model and Notation (BPMN) ver 2.0-Celonis

Educational Bachelor of Engineering,Bachelor Of Technology (Integrated),Bachelor Of Technology,Bachelor Of Business Adm.,Master Of Business Adm.,Master of Science (Technology),Master Of Technology,Master of Technology (Integrated) Service Line Enterprise Package Application Services Responsibilities A day in the life of an Infoscion As part of the Infosys consulting team, your primary role would be to actively aid the consulting team in different phases of the project including problem definition, effort estimation, diagnosis, solution generation and design and deployment You will explore the alternatives to the recommended solutions based on research that includes literature surveys, information available in public domains, vendor evaluation information, etc. and build POCs You will create requirement specifications from the business needs, define the to-be-processes and detailed functional designs based on requirements. You will support configuring solution requirements on the products; understand if any issues, diagnose the root-cause of such issues, seek clarifications, and then identify and shortlist solution alternatives You will also contribute to unit-level and organizational initiatives with an objective of providing high quality value adding solutions to customers. If you think you fit right in to help our clients navigate their next in their digital transformation journey, this is the place for you! Additional Responsibilities: Ability to work with clients to identify business challenges and contribute to client deliverables by refining, analyzing, and structuring relevant data Awareness of latest technologies and trends Logical thinking and problem solving skills along with an ability to collaborate Ability to assess the current processes, identify improvement areas and suggest the technology solutions One or two industry domain knowledge Technical and Professional : At least 2 years of configuration & development experience with respect to implementation of OFSAA Solutions (such as ERM, EPM, etc.) Expertise in implementing OFSAA Technical areas covering OFSAAI and frameworks Data Integrator, Metadata Management, Data Modelling. Perform and understand data mapping from Source systems to OFSAA staging; Execution of OFSAA batches and analyses result area tables and derived entities. Perform data analysis using OFSAA Metadata (i.e Technical Metadata, Rule Metadata, Business Metadata) and identify if any data mapping gap and report them to stakeholders. Participate in requirements workshops, help in implementation of designed solution, testing (UT, SIT), coordinate user acceptance testing etc. Knowledge and experience with full SDLC lifecycle Experience with Lean / Agile development methodologies Preferred Skills: Technology-Oracle Industry Solutions-Oracle Financial Services Analytical Applications (OFSAA)

To be successful in this role, you should meet the following requirements(Must have ) Payments and Banking experience is a must. Experience in implementing and monitoring data governance using standard methodology throughout the data life cycle, within a large organisation. Demonstrate up-to-date knowledge of data governance theory, standard methodology and the practical considerations. Demonstrate knowledge of data governance industry standards and tools. Overall experience of 10+ years experience in Data governance, encompassing Data Quality management, Master data management, Data privacy & compliance, Data cataloguing and metadata management, Data security, maturity and lineage. Prior experience in implementing an end-to-end data governance framework. Experience in Automating Data cataloguing, ensuring accurate, consistent metadata, making data easily discoverable and usable. Domain experience across the payments and banking lifecycle. An analytical mind and inclination for problem-solving, with an attention to detail. Ability to effectively navigate and deliver transformation programmes in large global financial organisations, amidst the challenges posed by bureaucracy, globally distributed teams and local data regulations. Strong communication skills coupled with presentation skills of complex information and data. A first-class degree in Engineering or relevant field - with 2 or more of the following subjects as a major Mathematics, Computer Science, Statistics, Economics. The successful candidate will also meet the following requirements(Good to have ) Database TypeRelational, NoSQL, DocumentDB DatabasesOracle, PostgreSQL, BigQuery, Big Table, MongoDB, Neo4j Experience in Conceptual/ Logical/Physical Data Modeling. Experience in Agile methodology and leading agile delivery, aligned with organisational needs. Effective leader as well as team player with a strong commitment to quality and efficiency.

As a senior SAP 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 work on projects that assist clients in integrating strategy, process, technology, and information to enhance effectiveness, reduce costs, and improve profit and shareholder value. 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 FocusWorking across technical design, development, and implementation of SAP solutions for simplicity, amplification, and maintainability that meet client needs. Comprehensive Solution DeliveryInvolvement in strategy development and solution implementation, leveraging your knowledge of SAP 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

Design and develop conceptual, logical, and physical data models for enterprise and application-level databases. Translate business requirements into well-structured data models that support analytics, reporting, and operational systems. Define and maintain data standards, naming conventions, and metadata for consistency across systems. Collaborate with data architects, engineers, and analysts to implement models into databases and data warehouses/lakes. Analyze existing data systems and provide recommendations for optimization, refactoring, and improvements. Create entity relationship diagrams (ERDs) and data flow diagrams to document data structures and relationships. Support data governance initiatives including data lineage, quality, and cataloging. Review and validate data models with business and technical stakeholders. Provide guidance on normalization, denormalization, and performance tuning of database designs. Ensure models comply with organizational data policies, security, and regulatory requirements.

Your day in the role will include.. Assists clients in the selection, implementation, and support of Data Services for SAP. Lead multiple sized projects as team member or lead to implement new functionalities and improve existing functionalities including articulating, analysing requirements and translating them into effective solutions Prepare and conduct Unit Testing and User Acceptance Testing You will come with.. Knowledge and experience in implementation planning, fit analysis, configuration, testing, rollout and post-implementation support. Experience in working with teams to prioritize work and drive system solutions by clearly articulating business needs Required education Bachelor's Degree Preferred education Master's Degree Required technical and professional expertise Overall 5 - 8 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

Project Role : Security Architect Project Role Description : Define the cloud security framework and architecture, ensuring it meets the business requirements and performance goals. Document the implementation of the cloud security controls and transition to cloud security-managed operations. Must have skills : Security Data Privacy Good to have skills : NAMinimum 3 year(s) of experience is required Educational Qualification : 15 years full time education Summary :As a Security Architect, you will define the cloud security framework and architecture, ensuring it meets the business requirements and performance goals. Your typical day will involve collaborating with various teams to assess security needs, documenting the implementation of cloud security controls, and transitioning to cloud security-managed operations. You will engage in discussions to refine security strategies and ensure compliance with industry standards, all while adapting to the evolving landscape of cloud technologies and security threats. Roles & Responsibilities:- Maintaining the integrity of data and processes in OneTrust or Securiti.ai.- Hands-on support using OneTrust or securiti.ai in data discovery, classification & data governance.- Hands-on support using OneTrust or securiti.ai in performing data security posture management.- Supporting the team with OneTrust or securiti,ai privacy assessments.- Hands-on support using OneTrust or securiti.ai for Policy & Notice Management and DPIA.- Hands-on support using OneTrust or securiti,ai for Cookie compliance, including scanning and banner.- Hands-on support using OneTrust or securiti.ai for Consent compliance and maintain records of consent.- Hands-on support using OneTrust or securiti.ai for Data Subject Requests to automate request to fulfilment to meet regulatory deadlines.- Hands-on Data retention & deletion - Manage and enforce retention policies and data deletion.- Evaluating PIA/DPIA assessments for Risk Management, including Vendors.Professional and Technical Skills: - 3-4 years of hands-on experience as an OneTrust or Securiti.ai administrator.- 3 years of work experience with data privacy regulations such as GDPR, CCPA,DPDP (mandatory).- 2 years of work experience in defining & managing DSAR, DPIA's, Consent, Cookie, TPRM & RoPA lifecycles. 2 years of work experience in performing Data Discovery , Classification, Data Governance, Data Mapping & Cataloging and Data Security Posture Management. Excellent communication skills in English - both written and verbal.- OneTrust or Securiti.ai certified Professional (required). Additional Information:- The candidate should have minimum 12 years of experience in Security Data Privacy.- A 15 year full time education is required.- This will be a work from office on all 5 days, and the resource needs to work from client location only. Qualification 15 years full time education

Your day in the role will include... Assists clients in the selection, implementation, and support of Data Services for SAP. Lead multiple sized projects as team member or lead to implement new functionalities and improve existing functionalities including articulating, analysing requirements and translating them into effective solutions Prepare and conduct Unit Testing and User Acceptance Testing You will come with... Knowledge and experience in implementation planning, fit analysis, configuration, testing, rollout and post-implementation support. Experience in working with teams to prioritize work and drive system solutions by clearly articulating business needs Required education Bachelor's Degree Preferred education Master's Degree Required technical and professional expertise Overall 5 - 8 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

As a senior SAP 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 work on projects that assist clients in integrating strategy, process, technology, and information to enhance effectiveness, reduce costs, and improve profit and shareholder value. 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 FocusWorking across technical design, development, and implementation of SAP solutions for simplicity, amplification, and maintainability that meet client needs. Comprehensive Solution DeliveryInvolvement in strategy development and solution implementation, leveraging your knowledge of SAP 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

Technical Skills Microsoft Purview Expertise (Required) Unified Data CatalogExperience setting up and configuring the catalog, managing collections, classifications, glossary terms, and metadata curation. Data Quality (DQ)Implementing DQ rules, defining metrics (accuracy, completeness, consistency), and using quality scorecards and reports. Data Map and ScansAbility to configure sources, schedule scans, manage ingestion, and troubleshoot scan issues. Data Insights and LineageExperience visualizing data lineage and interpreting catalog insights. Azure Platform Knowledge (Desirable) Azure Data Factory Azure Synapse Analytics Microsoft Fabric including OneLake Experience 3to 5+ years in data governance or data platform projects, ideally with enterprise clients. 2+ years implementing Microsoft Purview or similar tools (Collibra, Informatica, Alation). Hands-on experience configuring and implementing Microsoft Purview Unified Catalog and Data Quality Experience onboarding multiple data sources (on-prem, cloud). Background in data management, data architecture, or business intelligence is highly beneficial. Certifications Desirable Microsoft Certified Azure Data Engineer Associate Microsoft Certified Azure Solutions Architect Expert

As an Data Engineer at IBM you will harness the power of data to unveil captivating stories and intricate patterns. You'll contribute to data gathering, storage, and both batch and real-time processing. Collaborating closely with diverse teams, you'll play an important role in deciding the most suitable data management systems and identifying the crucial data required for insightful analysis. As a Data Engineer, you'll tackle obstacles related to database integration and untangle complex, unstructured data sets. In this role, your responsibilities may include: Implementing and validating predictive models as well as creating and maintain statistical models with a focus on big data, incorporating a variety of statistical and machine learning techniques Designing and implementing various enterprise search applications such as Elasticsearch and Splunk for client requirements Work in an Agile, collaborative environment, partnering with other scientists, engineers, consultants and database administrators of all backgrounds and disciplines to bring analytical rigor and statistical methods to the challenges of predicting behaviours. Build teams or writing programs to cleanse and integrate data in an efficient and reusable manner, developing predictive or prescriptive models, and evaluating modelling results Required education Bachelor's Degree Preferred education Master's Degree Required technical and professional expertise 4+ years of experience in data modelling, data architecture. Proficiency in data modelling tools Erwin, IBM Infosphere Data Architect and database management systems Familiarity with different data models like relational, dimensional and NoSQL databases. Understanding of business processes and how data supports business decision making. Strong understanding of database design principles, data warehousing concepts, and data governance practices Preferred technical and professional experience Excellent analytical and problem-solving skills with a keen attention to detail. Ability to work collaboratively in a team environment and manage multiple projects simultaneously. Knowledge of programming languages such as SQL

As a senior SAP 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 work on projects that assist clients in integrating strategy, process, technology, and information to enhance effectiveness, reduce costs, and improve profit and shareholder value. 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 FocusWorking across technical design, development, and implementation of SAP solutions for simplicity, amplification, and maintainability that meet client needs. Comprehensive Solution DeliveryInvolvement in strategy development and solution implementation, leveraging your knowledge of SAP 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

Your day in the role will include... Assists clients in the selection, implementation, and support of Data Services for SAP. Lead multiple sized projects as team member or lead to implement new functionalities and improve existing functionalities including articulating, analysing requirements and translating them into effective solutions Prepare and conduct Unit Testing and User Acceptance Testing You will come with... Knowledge and experience in implementation planning, fit analysis, configuration, testing, rollout and post-implementation support. Experience in working with teams to prioritize work and drive system solutions by clearly articulating business needs Required education Bachelor's Degree Preferred education Master's Degree Required technical and professional expertise Overall 5 - 8 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

As an Data Engineer at IBM you will harness the power of data to unveil captivating stories and intricate patterns. You'll contribute to data gathering, storage, and both batch and real-time processing. Collaborating closely with diverse teams, you'll play an important role in deciding the most suitable data management systems and identifying the crucial data required for insightful analysis. As a Data Engineer, you'll tackle obstacles related to database integration and untangle complex, unstructured data sets In this role, your responsibilities may include Implementing and validating predictive models as well as creating and maintain statistical models with a focus on big data, incorporating a variety of statistical and machine learning techniques Designing and implementing various enterprise search applications such as Elasticsearch and Splunk for client requirements Work in an Agile, collaborative environment, partnering with other scientists, engineers, consultants and database administrators of all backgrounds and disciplines to bring analytical rigor and statistical methods to the challenges of predicting behaviours. Build teams or writing programs to cleanse and integrate data in an efficient and reusable manner, developing predictive or prescriptive models, and evaluating modelling results Required education Bachelor's Degree Preferred education Master's Degree Required technical and professional expertise 4+ years of experience in data modelling, data architecture. Proficiency in data modelling tools ERwin, IBM Infosphere Data Architect and database management systems Familiarity with different data models like relational, dimensional and NoSQl databases. Understanding of business processes and how data supports business decision making. Strong understanding of database design principles, data warehousing concepts, and data governance practices Preferred technical and professional experience Excellent analytical and problem-solving skills with a keen attention to detail. Ability to work collaboratively in a team environment and manage multiple projects simultaneously. Knowledge of programming languages such as SQL

Data Modeller JD: We are seeking a skilled Data Modeller to join our Corporate Banking team. The ideal candidate will have a strong background in creating data models for various banking services, including Current Account Savings Account (CASA), Loans, and Credit Services. This role involves collaborating with the Data Architect to define data model structures within a data mesh environment and coordinating with multiple departments to ensure cohesive data management practices. Data Modelling: oDesign and develop data models for CASA, Loan, and Credit Services, ensuring they meet business requirements and compliance standards. Create conceptual, logical, and physical data models that support the bank's strategic objectives. Ensure data models are optimized for performance, security, and scalability to support business operations and analytics. Collaboration with Data Architect: Work closely with the Data Architect to establish the overall data architecture strategy and framework. Contribute to the definition of data model structures within a data mesh environment. Data Quality and Governance: Ensure data quality and integrity in the data models by implementing best practices in data governance. Assist in the establishment of data management policies and standards. Conduct regular data audits and reviews to ensure data accuracy and consistency across systems. Data Modelling ToolsERwin, IBM InfoSphere Data Architect, Oracle Data Modeler, Microsoft Visio, or similar tools. DatabasesSQL, Oracle, MySQL, MS SQL Server, PostgreSQL, Neo4j Graph Data Warehousing TechnologiesSnowflake, Teradata, or similar. ETL ToolsInformatica, Talend, Apache NiFi, Microsoft SSIS, or similar. Big Data TechnologiesHadoop, Spark (optional but preferred). TechnologiesExperience with data modelling on cloud platforms Microsoft Azure (Synapse, Data Factory)