To succeed, organizations must blend digital and human capabilities Our diverse, global teams bring deep industry and functional expertise and a range of perspectives to spark change BCG delivers solutions through leading-edge management consulting along with technology and design, corporate and digital ventures and business purpose We work in a uniquely collaborative model across the firm and throughout all levels of the client organization, generating results that allow our clients to thriv What Youll Do Design and implement a data architecture that supports the organization s business goals and objectives. Develop data models, define data standards and guidelines, and establish processes for data integration, migration, and management. Create and maintain data dictionaries, which are a comprehensive set of data definitions and metadata that provide context and understanding of the organization s data assets. Ensure that the data is accurate, consistent, and reliable across the organization. This includes establishing data quality metrics and monitoring data quality on an ongoing basis. Work closely with other IT professionals, including database administrators, data analysts, and developers, to ensure that the organization s data architecture is integrated and aligned with other IT systems and applications. Stay up to date with new technologies and trends in data management and architecture and evaluate their potential impact on the organization s data architecture. Communicate with stakeholders across the organization to understand their data needs and ensure that the organization s data architecture is aligned with the organization s strategic goals and objectives. What Youll Bring A BTech / MTech degree in Computer Science or a related field At least 7+ years of experience in working on data architecture Expertise in data modeling and design, including conceptual, logical, and physical data models, and must be able to translate business requirements into data models Proficient in a variety of data management technologies, including relational databases, NoSQL databases, data warehouses, and data lakes Expertise in ETL processes, including data extraction, transformation, and loading, and must be able to design and implement data integration processes Experience with data analysis and reporting tools and techniques and must be able to design and implement data analysis and reporting processes Familiar with industry-standard data architecture frameworks, such as TOGAF or Zachman, and must be able to apply them to the organizations data architecture Familiar with cloud computing technologies, including public and private clouds, and must be able to design and implement data architectures that leverage cloud computing Certificates in Database Management will be preferred

As a Data Owner Lead at JPMorgan Chase within the Banking Payments team, you will play a crucial role in accelerating product development, driving business growth, and improving the Chase customer experience through data. You will ensure data quality and protection, collaborating with product teams to deliver data that meets business objectives and analytics needs. You will also identify and mitigate data risks in compliance with Firmwide policies. Job Responsibilities Develop and deliver product data plans to support strategic objectives and analytics. Provide expertise on data content and usage within the business. Identify and document critical data scope with proper metadata classification. Support analytics projects by identifying necessary data for integration. Document and coordinate resources for data quality requirements. Resolve data issues promptly and influence resources for resolution. Develop processes to monitor and mitigate data risks, including protection and quality. Required Qualifications, Capabilities, and Skills 8+ years of industry experience in a data-related field. Experience managing delivery across multiple workstreams. Expertise in business or product data. Technical knowledge of data management, governance, and big data platforms. Ability to manage delivery timelines and ensure organizational goals are met. Proven ability to consult on data best practices and resolve data quality issues. Skilled in SQL and database technologies. Preferred Qualifications, Capabilities, and Skills Knowledge of payments products or retail banking. Technical knowledge of Datawarehouse like Snowflake, Teradata would be preferred Bachelor s degree required, and Master s degree preferred. Preferably skilled on Cloud technologies like AWS

We are building a banking platform that enables teams to create products at scale and powers digital channels to deliver compelling experiences in a dramatically faster fashion . We look primarily for people who are passionate about solving business problems through innovation and engineering practices. You will be required to apply your depth of knowledge and expertise to all aspects of the software development lifecycle, as well as partner continuously with your many stakeholders daily to stay focused on common goals. We embrace a culture of experimentation and constantly strive for improvement and learning. We welcome diverse perspectives and people who are not afraid to challenge assumptions. Our mission is to accelerate the pace of financial innovation and build new financial products for American Express. Our platform streamlines the process of launching and iterating financial products. Responsibilities: Develops and tests software, including ongoing refactoring of code & drives continuous improvement in code structure & quality. Functions as a core member of an Agile team driving User story analysis & elaboration, design and development of software applications, testing & builds automation tools. Designs, codes, tests, maintains , and documents data applications. Takes part in reviews of own work and reviews of colleagues work. Defines test conditions based on the requirements and specifications provided. Partner with the product teams to understand business data requirements, identify data needs and data sources to create data architecture Documents data requirements / data stories and maintains data models to ensure flawless integration into existing data architectures Leads multiple tasks effectively - progresses work in parallel Adapts to change quickly and easily Handles problems and acts on own initiative without being prompted Qualifications: Must have demonstrated proficiency and experience in the following tools and technologies: Python Object Oriented Programming Python Built in libraries: JSON, Base64, logging, os , etc. Python: Poetry and dependency management Asynchronous Reactive Micro services utilizing Fast API Firm foundational understanding of Distributed Storage and Distributed Compute Py spark framework: DataFrames (Aggregation, Windowing techniques), Spark SQL Cornerstone Data Ingestion Process, Cornerstone Business Metadata management , Interactive Analytics using YellowBrick , Hyperdrive JSON schema development , CStreams Realtime event ingestion pipeline using Kafka, Event Engine Management Test Driven Development Must have Banking Domain Knowledge: Money Movement, Zelle, ACH, Intraday Working Knowledge of following tools and technologies: Data Governance Toolset: Collibra, Manta REST APIs Specifications using Swagger Development Tool Central, XLR, Jenkins Docker Image creatio n, Containers, PODs Hydra Cloud Deployment and Troubleshooting Logging using Amex Enterprise Logging Framework Analytica l and problem-solving skills Technical fluency - ability to clearly describe tradeoffs to technical and non- technical audiences alike to help support product decisions. Highly organized with strong prioritization skills and outstanding written and verbal communication - you are great at research and documenting your learnings. A bachelors degree . Benefits include: Competitive base salaries Bonus incentives Support for financial-well-being and retirement Comprehensive medical, dental, vision, life insurance, and disability benefits (depending on location) Flexible working model with hybrid, onsite or virtual arrangements depending on role and business need Generous paid parental leave policies (depending on your location) Free access to global on-site wellness centers staffed with nurses and doctors (depending on location) Free and confidential counseling support through our Healthy Minds program Career development and training opportunities

Overview Driving DQ agenda within PGT deployment Define KPIs and Metrics in alignment with global Governance Lead Data migration planning, Execution & Communication E2E delivery of MDG workflow functionalities Integration with Global MDG team to adopt PGT design Lead the End user training and change management Responsibilities Drive continuous improvement of data governance and data maintenance processes for implementing countries/entities Create & Align data standards for master, supplemental and transactional data objects drive adoption of data standards and design principle to drive data consistency and bring efficiency to migration process Governance to Ensure data standards and key decisions are properly documented (i.e. KDDs, DDs, Metadata, DQ Rules, CRDs) build the capability with Pepsico to drive cost efficient delivery model by reducing the delivery work for external partner Excellent oral and written skills to provide clear documentation to project teams, the management and executive leadership, and across multiple geographies Qualifications Bachelors degree required 10+ years of experience with data / conversions / interfaces Demonstrated ability to effectively communicate with all levels of the organization Ability to work flexible hours based on varying business requirements Solves highly complex problems within their work team Ability to quickly adapt to changes in timelines and sequences Adaptability and flexibility including ability to manage deadline pressure, ambiguity and change Data-driven mindset, leveraging a structured analytical approach, and comfortable with manipulating and profiling large volumes of data (demonstrated by skills in SQL, Excel, Access) and data management responsibilities (such as leveraging WinShuttle, MDM/MDG, workflow)

This is an exciting opportunity for an experienced Data Engineer of large-scale data solutions. You will join a team delivering a transformative data platform for a key Version 1 customer. You will have a proven track record as a senior/self-starting data engineer in implementing data ingestion and transformation pipelines for large scale organisations. We are seeking someone with deep technical skills in a variety of technologies, specifically Snowflake , S QL, data modelling, ETL tools like StreamSets & graph databases to play an important role in developing and delivering data solutions implementation. You will ideally have experience in building solutions using a variety of ETL tools, and a proven track record in delivering high quality work to tight deadlines. You have the following qualifications: A Bachelor or Master degree in a computational field (Computer Science, Applied Mathematics, Engineering, or in a related quantitative discipline). 5 Years and abo

You Lead the Way. We ve Got Your Back. With the right backing, people and businesses have the power to progress in incredible ways. When you join Team Amex, you become part of a global and diverse community of colleagues with an unwavering commitment to back our customers, communities and each other. Here, you ll learn and grow as we help you create a career journey that s unique and meaningful to you with benefits, programs, and flexibility that support you personally and professionally. At American Express, you ll be recognized for your contributions, leadership, and impact every colleague has the opportunity to share in the company s success. Together, we ll win as a team, striving to uphold our company values and powerful backing promise to provide the world s best customer experience every day. And we ll do it with the utmost integrity, and in an environment where everyone is seen, heard and feels like they belong. Join Team Amex and lets lead the way together. We are building a banking platform that enables teams to create products at scale and powers digital channels to deliver compelling experiences in a dramatically faster fashion . We look primarily for people who are passionate about solving business problems through innovation and engineering practices. You will be required to apply your depth of knowledge and expertise to all aspects of the software development lifecycle, as well as partner continuously with your many stakeholders daily to stay focused on common goals. We embrace a culture of experimentation and constantly strive for improvement and learning. We welcome diverse perspectives and people who are not afraid to challenge assumptions. Our mission is to accelerate the pace of financial innovation and build new financial products for American Express. Our platform streamlines the process of launching and iterating financial products. Responsibilities: Develops and tests software, including ongoing refactoring of code & drives continuous improvement in code structure & quality. Functions as a core member of an Agile team driving User story analysis & elaboration, design and development of software applications, testing & builds automation tools. Designs, codes, tests, maintains , and documents data applications. Takes part in reviews of own work and reviews of colleagues work. Defines test conditions based on the requirements and specifications provided. Partner with the product teams to understand business data requirements, identify data needs and data sources to create data architecture Documents data requirements / data stories and maintains data models to ensure flawless integration into existing data architectures Leads multiple tasks effectively - progresses work in parallel Adapts to change quickly and easily Handles problems and acts on own initiative without being prompted Qualifications: Must have demonstrated proficiency and experience in the following tools and technologies: Python Object Oriented Programming Python Built in libraries: JSON, Base64, logging, os , etc. Python: Poetry and dependency management Asynchronous Reactive Micro services utilizing Fast API Firm foundational understanding of Distributed Storage and Distributed Compute Py spark framework: DataFrames (Aggregation, Windowing techniques), Spark SQL Cornerstone Data Ingestion Process, Cornerstone Business Metadata management , Interactive Analytics using YellowBrick , Hyperdrive JSON schema development , CStreams Realtime event ingestion pipeline using Kafka, Event Engine Management Test Driven Development Must have Banking Domain Knowledge: Money Movement, Zelle, ACH, Intraday Working Knowledge of following tools and technologies: Data Governance Toolset: Collibra, Manta REST APIs Specifications using Swagger Development Tool Central, XLR, Jenkins Docker Image creatio n, Containers, PODs Hydra Cloud Deployment and Troubleshooting Logging using Amex Enterprise Logging Framework Analytica l and problem-solving skills Technical fluency - ability to clearly describe tradeoffs to technical and non- technical audiences alike to help support product decisions. Highly organized with strong prioritization skills and outstanding written and verbal communication - you are great at research and documenting your learnings. A bachelors degree . We back our colleagues and their loved ones with benefits and programs that support their holistic well-being. That means we prioritize their physical, financial, and mental health through each stage of life. Benefits include: Competitive base salaries Bonus incentives Support for financial-well-being and retirement Comprehensive medical, dental, vision, life insurance, and disability benefits (depending on location) Flexible working model with hybrid, onsite or virtual arrangements depending on role and business need Generous paid parental leave policies (depending on your location) Free access to global on-site wellness centers staffed with nurses and doctors (depending on location) Free and confidential counseling support through our Healthy Minds program Career development and training opportunities American Express is an equal opportunity employer and makes employment decisions without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, veteran status, disability status, age, or any other status protected by law. Offer of employment with American Express is conditioned upon the successful completion of a background verification check, subject to applicable laws and regulations.

Design, construct, install, test, and maintain highly scalable data management systems using big data technologies such as Apache Spark (with focus on Spark SQL) and Hive. Manage and optimize our data warehousing solutions, with a strong emphasis on SQL performance tuning. Implement ETL/ELT processes using tools like Talend or custom scripts, ensuring efficient data flow and transformation across our systems. Utilize AWS services including S3, EC2, and EMR to build and manage scalable, secure, and reliable cloud-based solutions. Develop and deploy scripts in Linux environments, demonstrating proficiency in shell scripting. Utilize scheduling tools such as Airflow or Control-M to automate data processes and workflows. Implement and maintain metadata-driven frameworks, promoting reusability, efficiency, and data governance. Collaborate closely with DevOps teams utilizing SDLC tools such as Bamboo, JIRA, Bitbucket, and Confluence to ensure seamless integration of data systems into the software development lifecycle. Communicate effectively with both technical and non-technical stakeholders, for handover, incident management reporting, etc Required education Bachelor's Degree Preferred education Master's Degree Required technical and professional expertise Demonstrated expertise in Big Data Technologies, specifically Apache Spark (focus on Spark SQL) and Hive. Extensive experience with AWS services, including S3, EC2, and EMR. Strong expertise in Data Warehousing and SQL, with experience in performance optimization Experience with ETL/ELT implementation (such as Talend) Proficiency in Linux, with a strong background in shell scripting Preferred technical and professional experience Familiarity with scheduling tools like Airflow or Control-M. Experience with metadata-driven frameworks. Knowledge of DevOps tools such as Bamboo, JIRA, Bitbucket, and Confluence. Excellent communication skills and a willing attitude towards learning

About The Role : Job TitleData Governance & Management Associate LocationBangalore, India Role Description Compliance and Anti-Financial Crime Data Office is responsible for Data Governance and Management covering key functions of AFC, Compliance and Legal. The team support these functions in establishing & improving Data Governance and Management to achieve key business outcomes including effective operation of key controls. The CAFC Data Governance and Management team is responsible for implementation of and adherence to DBs Enterprise Data Management Frameworkcontrols, culture and capabilities which in turn drive target outcomes of improved Data Quality, reduction in audit and regulatory findings, stronger more effective controls and improved operational efficiency. As a member of the Divisional Data Office team the role holder will support both run the Bank activities at the Bank and all ongoing change the Bank initiatives. In particular, this role will support establishing procedures based on Chief Data Office standards to execute Core Data Management Standard principles around data requirements, lineage and authoritative sources. What we'll offer you As part of our flexible scheme, here are just some of the benefits that youll enjoy Best in class leave policy Gender neutral parental leaves 100% reimbursement under childcare assistance benefit (gender neutral) Sponsorship for Industry relevant certifications and education Employee Assistance Program for you and your family members Comprehensive Hospitalization Insurance for you and your dependents Accident and Term life Insurance Complementary Health screening for 35 yrs. and above Your key responsibilities Perform the current state documentation & gap assessment including Analysis and documentation of data scope and requirements via asset catalogue in Collibra and obtain relevant certifications Capture and visualization in Solidatus of data lineage, ensuring alignment to metadata sources, and obtain relevant certifications Analysis and cataloguing of data controls, and assessing coverage against standards and requirements Assessment of control monitoring, exception and DQ issue management Document gaps identified, analyze and support defining rem plans Your skills and experience. Extensive experience in all aspects of Data Management best practice with in-depth understanding of data risks and controls and how they manifest in a large Financial Services organization. 6 + years for experience in data management practices. Knowledge of industry standard Data Management Frameworks such as DCAM or DAMA, preferably with qualification. Experience executing data management including: Cataloguing data assets for business, technology, and governance, ideally using Collibra. Documenting and maintaining Data Lineage, ideally using Solidatus, with the ability to understand lineage, data risks and controls to present to business colleagues. Documenting and assessing data controls including design and operating effectiveness & monitoring Excellent written and verbal communication skills (including PowerPoint) with the ability to explain complex concepts to non-technical colleagues Ability to appropriately partner with colleagues across different functions, locations & levels. Must be able to work independently as well as part of a team and virtual working groups How we'll support you Training and development to help you excel in your career Coaching and support from experts in your team A culture of continuous learning to aid progression A range of flexible benefits that you can tailor to suit your needs About us and our teams Please visit our company website for further information: https://www.db.com/company/company.htm We strive for a culture in which we are empowered to excel together every day. This includes acting responsibly, thinking commercially, taking initiative and working collaboratively. Together we share and celebrate the successes of our people. Together we are Deutsche Bank Group. We welcome applications from all people and promote a positive, fair and inclusive work environment.

Req ID: 323119 NTT DATA strives to hire exceptional, innovative and passionate individuals who want to grow with us. If you want to be part of an inclusive, adaptable, and forward-thinking organization, apply now. We are currently seeking a Lead Data Engineer to join our team in Bangalore, Karnataka (IN-KA), India (IN). "Job DutiesDevelop and articulate long-term strategic goals for data architecture vision and establish data standards for enterprise systems. Utilize various cloud technologies, including Azure, AWS, GCP, and data platforms like Databricks and Snowflake. Conceptualize and create an end-to-end vision outlining the seamless flow of data through successive stages. Institute processes for governing the identification, collection, and utilization of corporate metadata, ensuring accuracy and validity. Implement methods and procedures for tracking data quality, completeness, redundancy, compliance, and continuous improvement. Evaluate and determine governance, stewardship, and frameworks for effective data management across the enterprise. Develop comprehensive strategies and plans for data capacity planning, data security, life cycle data management, scalability, backup, disaster recovery, business continuity, and archiving. Identify potential areas for policy and procedure enhancements, initiating changes where required for optimal data management. Formulate and maintain data models and establish policies and procedures for functional design. Offer technical recommendations to senior managers and technical staff in the development and implementation of databases and documentation. Stay informed about upgrades and emerging database technologies through continuous research. Collaborate with project managers and business leaders on all projects involving enterprise data. Document the data architecture and environment to ensure a current and accurate understanding of the overall data landscape. Design and implement data solutions tailored to meet customer needs and specific use cases. Provide thought leadership by recommending the most suitable technologies and solutions for various use cases, spanning from the application layer to infrastructure. Basic Qualifications: 8+ years of hands-on experience with various database technologies (insert examples). 6+ years of experience with Cloud-based systems and Enterprise Data Architecture, driving end-to end technology solutions. Ability to travel at least 25%. Minimum Skills RequiredPossess certifications in AWS, Azure, and GCP to complement extensive hands-on experience. Demonstrated expertise with certifications in Databricks. Valuable ""Big 4"" Management Consulting experience or exposure to multiple industries. Undergraduate or graduate degree preferred" About NTT DATA NTT DATA is a $30 billion trusted global innovator of business and technology services. We serve 75% of the Fortune Global 100 and are committed to helping clients innovate, optimize and transform for long term success. As a Global Top Employer, we have diverse experts in more than 50 countries and a robust partner ecosystem of established and start-up companies.Our services include business and technology consulting, data and artificial intelligence, industry solutions, as well as the development, implementation and management of applications, infrastructure and connectivity. We are one of the leading providers of digital and AI infrastructure in the world. NTT DATA is a part of NTT Group, which invests over $3.6 billion each year in R&D to help organizations and society move confidently and sustainably into the digital future. Visit us atus.nttdata.com NTT DATA endeavors to make https://us.nttdata.comaccessible to any and all users. If you would like to contact us regarding the accessibility of our website or need assistance completing the application process, please contact us at https://us.nttdata.com/en/contact-us. This contact information is for accommodation requests only and cannot be used to inquire about the status of applications. NTT DATA is an equal opportunity employer. Qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability or protected veteran status. For our EEO Policy Statement, please click here. If you'd like more information on your EEO rights under the law, please click here. For Pay Transparency information, please click here. Job Segment Database, Management Consulting, Consulting, Technology, Management

Understanding and experience with Master Data Management Applications Such as Semarchy , Markit EDM and data governance practices, data visualization platform like Microsoft Power BI, or Tableau a plus. Exp with agile scrum methodology. Required Candidate profile Review requirements with business stakeholder. Establish daily platform monitoring & reconciliation break resolution define governance framework. Translate requirements into actionable stories.

Job Summary We are looking for a Data Modeler to design and optimize data models supporting automotive industry analytics and reporting. The ideal candidate will work with SAP ECC as a primary data source, leveraging Databricks and Azure Cloud to design scalable and efficient data architectures. This role involves developing logical and physical data models, ensuring data consistency, and collaborating with data engineers, business analysts, and domain experts to enable high-quality analytics solutions. Key Responsibilities: 1. Data Modeling & Architecture: Design and maintain conceptual, logical, and physical data models for structured and unstructured data. 2. SAP ECC Data Integration: Define data structures for extracting, transforming, and integrating SAP ECC data into Azure Databricks. 3. Automotive Domain Modeling: Develop and optimize industry-specific data models covering customer, vehicle, material, and location data. 4. Databricks & Delta Lake Optimization: Design efficient data models for Delta Lake storage and Databricks processing. 5. Performance Tuning: Optimize data structures, indexing, and partitioning strategies for performance and scalability. 6. Metadata & Data Governance: Implement data standards, data lineage tracking, and governance frameworks to maintain data integrity and compliance. 7. Collaboration: Work closely with business stakeholders, data engineers, and data analysts to align models with business needs. 8. Documentation: Create and maintain data dictionaries, entity-relationship diagrams (ERDs), and transformation logic documentation. Skills & Qualifications Data Modeling Expertise: Strong experience in dimensional modeling, 3NF, and hybrid modeling approaches. Automotive Industry Knowledge: Understanding of customer, vehicle, material, and dealership data models. SAP ECC Data Structures: Hands-on experience with SAP ECC tables, business objects, and extraction processes. Azure & Databricks Proficiency: Experience working with Azure Data Lake, Databricks, and Delta Lake for large-scale data processing. SQL & Database Management: Strong skills in SQL, T-SQL, or PL/SQL, with a focus on query optimization and indexing. ETL & Data Integration: Experience collaborating with data engineering teams on data transformation and ingestion processes. Data Governance & Quality: Understanding of data governance principles, lineage tracking, and master data management (MDM). Strong Documentation Skills: Ability to create ER diagrams, data dictionaries, and transformation rules. Preferred Qualifications Experience with data modeling tools such as Erwin, Lucidchart, or DBT. Knowledge of Databricks Unity Catalog and Azure Synapse Analytics. Familiarity with Kafka/Event Hub for real-time data streaming. Exposure to Power BI/Tableau for data visualization and reporting.

Role & responsibilities Job Summary: We are seeking a highly skilled and motivated Data Governance Executor to join our team. The ideal candidate will be responsible for implementing the data governance frameworks focus on data governance solution using Unity Catalog and Azure Purview. This role will ensure implementation of data quality standardization, Data Classification, and Data Governance Polices execution. Key Responsibilities: Data Governance Solution Implementation: Develop and implement data governance policies and procedures using Unity Catalog and Azure Purview. Ensure data governance frameworks align with business objectives and regulatory requirements. Data Catalog Management: Manage and maintain the Unity Catalog, ensuring accurate and up-to-date metadata. Oversee the classification and organization of data assets within Azure Purview. Data Quality Assurance: Implement data quality standards with Data Engineer and perform regular audits to ensure data accuracy and integrity. Collaborate with data stewards to resolve data quality issues. Stakeholder Collaboration: Work closely with data owners, stewards, and business stakeholders to understand data needs and requirements. Provide training and support to ensure effective use of data governance tools. Reporting and Documentation: Generate reports on data governance metrics and performance. Maintain comprehensive documentation of data governance processes and policies. Qualifications: Education: Bachelor's degree in Computer Science, Information Systems, or a related field. Master's degree preferred. Experience: Proven experience in data governance, data management, or related roles. 2+ years hands-on experience with Unity Catalog and Azure Purview. Skills: Strong understanding of data governance principles and best practices. Proficiency in data cataloging, metadata management, and data quality assurance. Excellent analytical, problem-solving, and communication skills. Ability to work collaboratively with cross-functional teams. Preferred Qualifications: Certification in data governance or related fields. Experience with other data governance tools and platforms. Knowledge of cloud data platforms and services. Preferred candidate profile

NDR Security Engineer Job Summary We are seeking a skilled NDR Security Engineer to design, implement, and manage a Network Detection and Response (NDR) presence across customer environments The ideal candidate will have deep expertise in cloud networking, traffic analysis, and security operations, with a proven ability to deploy NDR solutions that enhance threat visibility and response This role will collaborate with security, DevOps, and network teams to ensure comprehensive monitoring and rapid incident mitigation in a dynamic, customer infrastructure Key Responsibilities NDR Deployment: o Architect and deploy NDR solutions (eg, ExtraHop, Vectra AI, Darktrace) in AWS and Azure to monitor critical workloads o Configure traffic mirroring using AWS VPC Traffic Mirroring and Azure Virtual Network TAP (vTAP) to feed network data to the NDR platform o Implement centralized traffic aggregation across multiple VPCs/VNets using AWS Transit Gateway or Azure Virtual WAN Cloud Integration: o Integrate NDR with AWS services (GuardDuty, Security Hub, CloudWatch) and Azure services (Defender for Cloud, Sentinel, Azure Monitor) for layered threat detection o Pipe metadata from VPC Flow Logs and NSG Flow Logs into the NDR for enhanced context Automation and Scalability: o Develop and maintain Infrastructure-as-Code (IaC) templates (eg, CloudFormation, ARM, Terraform) to automate NDR deployments o Create scripts (eg, Python, PowerShell) and automation workflows (eg, Lambda, Azure Functions) to dynamically adjust traffic mirroring and respond to threats o Implement auto-scaling for NDR instances to handle variable traffic loads Threat Detection and Response: o Analyse network traffic and behavioural patterns to identify anomalies (eg, lateral movement, data exfiltration) o Triage NDR alerts, correlate with cloud-native findings, and recommend or automate containment actions (eg, isolate compromised instances) o Conduct forensic analysis using captured traffic data for post-incident investigations Optimization and Testing: o Tune NDR configurations to reduce false positives and optimize performance (eg, filter benign traffic)o Simulate attacks (eg, port scans, malware) to validate detection and response capabilities o Monitor and manage costs related to traffic mirroring, storage (eg, S3, Blob Storage), and NDR operations Documentation and Collaboration: o Document NDR architecture, configurations, and incident response procedures o Collaborate with SOC analysts, cloud architects, and stakeholders to align NDR with organizational security goals o Present findings and recommendations to technical and non-technical audiences

Warm Greetings from SP Staffing Services Pvt Ltd!!!! Experience:4 to 6yrs Work Location : Hyd,Kolkata, Delhi, Chennai Job Description: Experience in Abinitio Experience in Metadatahub Interested candidates, Kindly share your updated resume to ramya.r@spstaffing.in or contact number 8667784354 (Whatsapp:9597467601) to proceed further.

Overview Java development with hands-on experience in Spring Boot. Strong knowledge of UI frameworks, particularly Angular, for developing dynamic, interactive web applications. Experience with Kubernetes for managing microservices-based applications in a cloud environment. Familiarity with Postgres (relational) and Neo4j (graph database) for managing complex data models. Experience in Meta Data Modeling and designing data structures that support high-performance and scalability. Expertise in Camunda BPMN and business process automation. Experience implementing rules with Drools Rules Engine. Knowledge of Unix/Linux systems for application deployment and management. Experience building data Ingestion Frameworks to process and handle large datasets. Responsibilities Java development with hands-on experience in Spring Boot. Strong knowledge of UI frameworks, particularly Angular, for developing dynamic, interactive web applications. Experience with Kubernetes for managing microservices-based applications in a cloud environment. Familiarity with Postgres (relational) and Neo4j (graph database) for managing complex data models. Experience in Meta Data Modeling and designing data structures that support high-performance and scalability. Expertise in Camunda BPMN and business process automation. Experience implementing rules with Drools Rules Engine. Knowledge of Unix/Linux systems for application deployment and management. Experience building data Ingestion Frameworks to process and handle large datasets. Requirements Java development with hands-on experience in Spring Boot. Strong knowledge of UI frameworks, particularly Angular, for developing dynamic, interactive web applications. Experience with Kubernetes for managing microservices-based applications in a cloud environment. Familiarity with Postgres (relational) and Neo4j (graph database) for managing complex data models. Experience in Meta Data Modeling and designing data structures that support high-performance and scalability. Expertise in Camunda BPMN and business process automation. Experience implementing rules with Drools Rules Engine. Knowledge of Unix/Linux systems for application deployment and management. Experience building data Ingestion Frameworks to process and handle large datasets.

Overview Java development with hands-on experience in Spring Boot. Strong knowledge of UI frameworks, particularly Angular, for developing dynamic, interactive web applications. Experience with Kubernetes for managing microservices-based applications in a cloud environment. Familiarity with Postgres (relational) and Neo4j (graph database) for managing complex data models. Experience in Meta Data Modeling and designing data structures that support high-performance and scalability. Expertise in Camunda BPMN and business process automation. Experience implementing rules with Drools Rules Engine. Knowledge of Unix/Linux systems for application deployment and management. Experience building data Ingestion Frameworks to process and handle large datasets. Responsibilities Java development with hands-on experience in Spring Boot. Strong knowledge of UI frameworks, particularly Angular, for developing dynamic, interactive web applications. Experience with Kubernetes for managing microservices-based applications in a cloud environment. Familiarity with Postgres (relational) and Neo4j (graph database) for managing complex data models. Experience in Meta Data Modeling and designing data structures that support high-performance and scalability. Expertise in Camunda BPMN and business process automation. Experience implementing rules with Drools Rules Engine. Knowledge of Unix/Linux systems for application deployment and management. Experience building data Ingestion Frameworks to process and handle large datasets. Requirements Java development with hands-on experience in Spring Boot. Strong knowledge of UI frameworks, particularly Angular, for developing dynamic, interactive web applications. Experience with Kubernetes for managing microservices-based applications in a cloud environment. Familiarity with Postgres (relational) and Neo4j (graph database) for managing complex data models. Experience in Meta Data Modeling and designing data structures that support high-performance and scalability. Expertise in Camunda BPMN and business process automation. Experience implementing rules with Drools Rules Engine. Knowledge of Unix/Linux systems for application deployment and management. Experience building data Ingestion Frameworks to process and handle large datasets.

About The Role Job Title : Knowledge Anchor Designation : A/SA Program : Support Process : CO_KM Shift Details : Night Shit(Rotational) Detailed Job/ Role Description: Would be responsible for conducting onboarding, refresher and continual training program for front line and managerial workforce Would be required to adhere to internal training and documentation processes Risk Mitigation Risk Evaluation by conducting periodic audits Process Documentation / Update [BPD, Checklist, Metadata, Training Docs, SOP] Change Management The candidate would be responsible training new hire employees and conduct refresher training for on-floor employees The candidate would be responsible for driving performance of employees falling under the vintage of 0-90 days post certification Monitor calls/chats on Communication, Soft Skills, Process and Compliance Parameters Provide Coaching & Feedback to enhance agent performance Participate in calibrations to ensure consistent scoring & feedback delivery approach Keep the reps updated on new process changes/updates, improvement initiatives Prepare and implement the action plans post analyzing audit data, compliance reports, communication & Process related data points Essential skill-set required: Excellent communication skills (both verbal and written) Eye for detail Excellent facilitation skills Excellent execution skills Analytical Thinking and Problem Solving Knowledge of MS Excel, MS Word, MS PowerPoint and MS Visio Willing to take charge and initiative as per business requirements The candidate should be aware of various learning methodologies which would help the candidate in handling different types of learners Candidate should have knowledge about methodologies used for designing content Candidate should be aware of methodologies to check knowledge retention and evaluate overall training performance Candidate should have undergone and cleared one TTT mode Work experience required: The candidate should possess minimum of 2 years of experience in the same field Formal Qualifications: Basic Graduate or above Basic knowledge of computer Working knowledge of Excel, Word and PowerPoint

Analyze business workflows and translate them into data structures. Define data requirements, advise on integration and modeling, ensure metadata accuracy, and support delivery teams with reusable data assets and insights. Required Candidate profile Analyst with strong understanding of data models, business workflows, metadata management, and integration best practices. Work with cross-functional teams to align data with ops and strategic goals.

DESCRIBE THE JOB PROFILE SUMMARY OR PURPOSE OF THE REQUESTED JOB The key focus for the senior data architect is to perform planning aligned to key data solutions, build and participate the architecture capability building, perform data architecture and design, manage data architecture risk and compliance, provide design and build governance and support and communicate and share knowledge around the architecture practices, guardrails, blueprints and standards related to the data solution design. DESCRIBE THE MAIN ACTIVITIES OF THE JOB ( DESCRIPTION ) Planning Lead data solution requirements gathering and ensure alignment with business objectives and constraints. Define and refine data architecture runways for intentional architecture with the key stakeholders Provide input into business cases and costing Participate and provide data architectural runway requirements into Programme Increment (PI) Planning Architecture Capability Develop and oversee data architecture views and ensure alignment with enterprise architecture. Maintain and oversee the data solution artifacts in the set enterprise repository and knowledge portals aligned to the rest of the architecture Manage the data architecture processes based on the requirements for each architype Manage change impact of the data architecture with stakeholders Develop and participate in the build of the data architecture practice with embedded architects and engineers including the relevant methods, repository and tools Manage the data architecture considering the business, application, information/data and technology viewpoints Establish, enforce and implement data standards, guardrails, frameworks, and patterns Solution Design Lead and review logical and detailed data architecture Evaluate and approve data solution options and technology selections Select appropriate technology, tools and build for the solution Oversee and maintain the data solution blueprints Drive incremental modernisation initiatives in the delivery area Risk, Governance and Compliance Identify, assess and mitigate risks at a data solution architecture level Ensure and enforce compliance with policies, standards, and regulations Lead data architecture reviews and integrate with governance functions Integrate with other governance and compliance functions to ensure continuity in managing the investment and risk for the organisation pertaining to the solution architectures Establish and provide data standards, guidance, and tools to delivery teams. Implementation and Establish and provide data solution architectures and tools to the delivery and data engineering teams Lead and facilitate collaboration with delivery teams to achieve architecture objectives Manage and resolve deviations and ensure up-to-date data solution design documentation Identify opportunities to optimise delivery of solutions Oversee and conduct post-implementation reviews Ensure the data architecture supports CI/CD pipelines to facilitate rapid and reliable deployment of data solutions Implement automated testing frameworks for data solutions to ensure quality and reliability throughout the development lifecycle. Establish performance monitoring and optimisation practices to ensure data solutions meet performance benchmarks and can scale as needed. Integrate robust data security measures, including encryption, access controls, and regular security audits, into the implementation process. Communication and Knowledge Sharing Communicate and advocate up-to-date data solution architecture views Communicate the relevant data standards, practices, guardrails and tools to stakeholders relevant to the solution design Ensure IT teams are well-informed and trained in architecture requirements Communicate and collaborate with stakeholders relevant views on planning, technology assessments, risk, compliance, governance and implementation assessments Foster collaboration between data architects, data engineers, and other IT teams through regular cross-functional meetings and agile ceremonies. Communicate and maintain up-to-date blueprint designs for key data solutions Ensure effective participation in the agile ceremonies (PI planning, sprint planning, retrospectives, demos) Implement regular feedback loops with stakeholders and end-users to continuously improve data solutions based on real-world usage and requirements Create a culture of knowledge sharing by organising regular workshops, training sessions, and documentation updates to keep all team members informed about the latest data architecture practices and tools MINIMUM QUALIFICATIONS/EXPERIENCE ( REQUIRED FOR THE JOB ) Matric Degree or diploma in Information Technology, Computer Science, Engineering OR relevant diploma / degree Experience: Requires a minimum of 5 years in a technical/solution design role and a minimum of 7 years relevant IT experience Data Experience: Required a minimum of 7 years related experience in data engineering, data modeling and design and data management and governance Data Related Experience: Big Data and Analytics (e.g., Hadoop, Spark) Data Warehousing (e.g., DataBricks, Snowflake, Redshift) Master Data Management (MDM) Data Lakes and Data Mesh Metadata Management ETL/ELT Processes Data Privacy and Compliance Cloud Data Services ADDITIONAL QUALIFICATIONS/EXPERIENCE ( PREFERRED ) DAMA-DMBOK TOGAF ArchiMate Cloud Certifications (AWS, Azure) Financial Industry Experience COMPETENCIES REQUIRED Related attributes and competencies related to architecture: Critical thinking/problem solving Teamwork/collaboration Effective Communication Skills Leadership skills Knowledge and experience in architecture domains Knowledge and experience in architecture methods, frameworks and tools Solution Design Experience Agile Knowledge and Experience Cloud Knowledge and Experience Data related competencies: Data modeling, database design and data governance best practices and implementation Data architecture principles and methodologies Data integration technologies and tools Data management and governance

As a Data Owner Lead within our product development team, you will be instrumental in using data to accelerate product development and promote business growth. You will create plans for the development and delivery of product data, work with key partners to promote an understanding of the data, and provide subject matter expertise with respect to the content and use of data in the product and associated business area. This role provides an opportunity to influence resources, develop processes and procedures, and manage the execution of tasks related to the integrity and protection of data in the product. Job Responsibilities Create plans for the development and delivery of product data to support strategic business objectives, business operations, advanced analytics, and metrics and reporting. Work with key partners to drive an understanding of the data and its use within the business. Provide subject matter expertise with respect to the content and use of data in the product and associated business area. Identify the scope of critical data within their product, ensuring that the prioritized data is we'll-documented as to its meaning and purpose, and classified accordingly with metadata to enable its understanding and control. Support the aligned Data & Analytics lead for their product by identifying data required to be integrated into analytics platforms to support analytics projects. Document requirements for the accuracy, completeness, and timeliness of data within the product, and coordinate resources to deliver data quality requirements Influence resources to resolve identified data issues in a timely manner. Develop processes and procedures to identify, monitor, and mitigate data risks for data in the product, including risks related to data protection, data retention and destruction, data storage, data use, and data quality Manage the execution of tasks to comply with Firmwide policies, standards, and procedures related to the integrity and protection of data in the product Develop relationships with product data delivery partners and data consumers, including leaders in the Business, Technology, Analytics, Operations, Risk and Control functions. Manage the execution of a set of milestones. Understand and mitigate risks, bottlenecks, and inefficiencies in the product development lifecycle with respect to data. Track and manage workstreams and associated KPIs to ensure deliveries are successful. Manage direct or matrixed staff to execute specific data-related tasks Required Qualifications, Skills and Capabilities; Formal training or certification in Data Management concepts and 5+ years of applied experience. Experience managing delivery across multiple workstreams with varying timelines Subject matter expertise in business or product data or processes Technical knowledge of data management and governance, big data platforms, or data architecture. Demonstrated ability to manage delivery timelines, and ensure our product and organization is on track to meet our goals Proven ability to execute via internal partnerships Preferred Qualifications, Skills and Capabilities; Strong interpersonal and communication skills. Ability to articulate complex technical concepts to senior audiences Structured thinker with good business acumen Understanding of Agile technological development methodology. bachelors degree required, and masters degree preferred.

As 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 behaviour’s. 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 Experience in the integration efforts between Alation and Manta, ensuring seamless data flow and compatibility. Collaborate with cross-functional teams to gather requirements and design solutions that leverage both Alation and Manta platforms effectively. Develop and maintain data governance processes and standards within Alation, leveraging Manta's data lineage capabilities. Analyze data lineage and metadata to provide insights into data quality, compliance, and usage patterns Preferred technical and professional experience Lead the evaluation and implementation of new features and updates for both Alation and Manta platforms Ensuring alignment with organizational goals and objectives. Drive continuous improvement initiatives to enhance the efficiency and effectiveness of data management processes, leveraging Alati