866 Collibra Jobs - Page 21

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

Project Role : Application Lead Project Role Description : Lead the effort to design, build and configure applications, acting as the primary point of contact. Must have skills : Microsoft Purview Good to have skills : Collibra Data Governance Minimum 7.5 Year(s) Of Experience Is Required Educational Qualification : 15 years full time education Summary: As an Application Lead, you will lead the effort to design, build, and configure applications, acting as the primary point of contact. Your typical day will involve collaborating with various teams to ensure that application development aligns with business objectives, overseeing project timelines, and facilitating communication among stakeholders to drive project success. You will also engage in problem-solving activities, ensuring that the applications meet the required standards and specifications while fostering a collaborative environment for your team. Roles & Responsibilities: - Expected to be an SME. - Collaborate and manage the team to perform. - Responsible for team decisions. - Engage with multiple teams and contribute on key decisions. - Provide solutions to problems for their immediate team and across multiple teams. - Mentor junior team members to enhance their skills and knowledge. - Continuously assess and improve application performance and user experience. Professional & Technical Skills: - Must To Have Skills: Proficiency in Microsoft Purview. - Good To Have Skills: Experience with Collibra Data Governance. - Strong understanding of data governance frameworks and best practices. - Experience in application design and architecture. - Proficient in project management methodologies and tools. - Ability to analyze complex data sets and derive actionable insights. Additional Information: - The candidate should have minimum 7.5 years of experience in Microsoft Purview. - This position is based in Mumbai. - A 15 years full time education is required. 15 years full time education

About Us Our leading SaaS-based Global Employment Platform™ enables clients to expand into over 180 countries quickly and efficiently, without the complexities of establishing local entities. At G-P, we’re dedicated to breaking down barriers to global business and creating opportunities for everyone, everywhere. Our diverse, remote-first teams are essential to our success. We empower our Dream Team members with flexibility and resources, fostering an environment where innovation thrives and every contribution is valued and celebrated. The work you do here will positively impact lives around the world. We stand by our promise: Opportunity Made Possible. In addition to competitive compensation and benefits, we invite you to join us in expanding your skills and helping to reshape the future of work. At G-P, we assist organizations in building exceptional global teams in days, not months—streamlining the hiring, onboarding, and management process to unlock growth potential for all. About The Position As a Senior Engineering Manager at Globalization Partners, you will be responsible for both technical leadership and people management. This includes contributing to architectural discussions, decisions, and execution, as well as managing and developing a team of Data Engineers (of different experience levels). What You Can Expect To Do Own the strategic direction and execution of initiatives across our Data Platform, aligning technical vision with business goals. Guide teams through architectural decisions, delivery planning, and execution of complex programs that advance our platform capabilities. Lead and grow high-performing engineering teams responsible for the full data and analytics stack—from ingestion (ETL and Streaming) through transformation, storage, and consumption—ensuring quality, reliability, and performance at scale. Partner cross-functionally with product managers, architects, engineering leaders, and stakeholders from Cloud Engineering and other business domains to shape product and platform capabilities, translating business needs into actionable engineering plans. Drive delivery excellence by setting clear expectations, removing blockers, and ensuring engineering teams are progressing efficiently towards milestones while maintaining technical integrity. Ensure adoption and consistency of platform standards and best practices, including shared components, reusable libraries, and scalable data patterns. Support technical leadership across teams by fostering a strong culture of engineering excellence, security, and operational efficiency. Guide technical leads in maintaining high standards in architecture, development, and testing. Contribute to strategic planning, including the evolution of the data platform roadmap, migration strategies, and long-term technology investments aligned with company goals. Champion agile methodologies and DevOps practices, driving continuous improvement in team collaboration, delivery cycles, and operational maturity. Mentor and develop engineering talent, creating an environment where individuals can thrive through coaching, feedback, and growth opportunities. Promote a culture of innovation, accountability, and psychological safety. Challenge the Data Platform Quality and Performance by building/monitoring quality KPI and building a quality-first culture What We Are Looking For Proven experience leading geographically distributed engineering teams in the design and delivery of complex data and analytics platforms. Strong technical foundation with hands-on experience in modern data architectures, handling structured and unstructured data, and programming in Python—capable of guiding teams and reviewing design and code at a high level when necessary. Proficiency in SQL and relational database technologies, with the ability to guide data modeling and performance optimization discussions. In-depth understanding of ETL processes and data integration strategies, with practical experience overseeing data ingestion (batch and streaming), transformation, and quality assurance initiatives. Familiarity with commercial data platforms (e.g., Databricks, Snowflake) and cloud-native data warehouses (e.g., Redshift, BigQuery), including trade-offs and best practices in enterprise environments. Working knowledge of data governance and cataloging solutions, such as Atlan, Alation, Informatica, or Collibra, and experience supporting enterprise data stewardship efforts. Deep understanding of data quality, experience in building quality processes, and usage of tools like Monte Carlo. Understanding of machine learning and AI workloads, including the orchestration of data pipelines for model training and deployment in both batch and streaming contexts. Strong analytical and problem-solving skills, with the ability to drive root-cause analysis, evaluate architectural trade-offs, and support decision-making in ambiguous or fast-changing environments. Exceptional communication skills, with a track record of clear and effective collaboration across technical and non-technical stakeholders. Fluent in English, both verbal and written, with the ability to influence at all levels of the organization. Bachelor’s degree in Computer Science or a related field; advanced degrees or equivalent professional experience are a plus. We will consider for employment all qualified applicants who meet the inherent requirements for the position. Please note that background checks are required, and this may include criminal record checks. G-P. Global Made Possible. G-P is a proud Equal Opportunity Employer, and we are committed to building and maintaining a diverse, equitable and inclusive culture that celebrates authenticity. We prohibit discrimination and harassment against employees or applicants on the basis of race, color, creed, religion, national origin, ancestry, citizenship status, age, sex or gender (including pregnancy, childbirth, and pregnancy-related conditions), gender identity or expression (including transgender status), sexual orientation, marital status, military service and veteran status, physical or mental disability, genetic information, or any other legally protected status. G-P also is committed to providing reasonable accommodations to individuals with disabilities. If you need an accommodation due to a disability during the interview process, please contact us at careers@g-p.com.

Company Overview KKR is a leading global investment firm that offers alternative asset management as well as capital markets and insurance solutions. KKR aims to generate attractive investment returns by following a patient and disciplined investment approach, employing world-class people, and supporting growth in its portfolio companies and communities. KKR sponsors investment funds that invest in private equity, credit and real assets and has strategic partners that manage hedge funds. KKR’s insurance subsidiaries offer retirement, life and reinsurance products under the management of Global Atlantic Financial Group. References to KKR’s investments may include the activities of its sponsored funds and insurance subsidiaries. KKR's Gurugram office provides best in class services and solutions to our internal stakeholders and clients, drive organization wide process efficiency and transformation, and reflect KKR's global culture and values of teamwork and innovation. The office will contain multifunctional business capabilities and will be integral in furthering the growth and transformation of KKR. Team Overview KKR has built out an enterprise Data Operations group to collect, manage, and harness the power of data across our diverse business activities. The Data Operation Centre of Excellence (CoE) is a cross functional team dedicated to formulating & driving KKR’s enterprise data management strategy while also providing the operation leverage required to bring these strategies/frameworks to life. The Data Ops CoE consists of 2 focus areas (pillars); Data Management and Data Delivery. Position Overview The role is responsible for executing data management processes aimed at ensuring clean and quality data in the KKR data ecosystem. They will be part of KKR’s enterprise data group which collects, manages, and harnesses the power of data across our diverse portfolio investments. They will work collaboratively across the firm to set standards & best practices for data management while providing the operating leverage to centrally support the roll-out/ execution of these frameworks Roles & Responsibilities Operational Excellence Develop specifications as well as testing and enhancing tools/applications in conjunction with the IT team to maintain complete, accurate and up to date data Maintain consistent, accurate and complete data within KKR’s data ecosystem Implement data quality controls leveraging industry best tools i.e. Collibra Create and maintain data quality reporting functionality as per business needs Ensure data governance practices and activities are embedded across business units Execute and manage ad hoc data related projects within specified deadlines Collibra workflow development and maintenance Stakeholder Management Collaborate with engineering and IT to support and make recommendations for enhanced digital reporting capabilities and automated data reconciliation Communicate and work closely with relevant teams to close data gaps in a clear and timely manner Serve as point of contact for data-related questions and updates from various internal and external groups, delivering ad-hoc analytics to answer key business questions in a timely manner Reporting & Governance Design and document standard operating procedures for data management Implement and own best in class data governance practices; ensuring that data is well defined & transparently documented Qualifications Bachelor’s Degree or equivalent work experience required 2-4 years of data operation experience in financial services Experience in a multinational Financial Services organization and/or Private Equity preferred Ability to manage standard reports, templates & dashboards Ability to validate and review data Ability to provide support for internal stakeholders by sending reminders of emails, filling timesheets, collecting information as per service requests Ability to adhere to the compliance requirements of processes Ability to develop and enhance data protection and management tools or applications Ability to design and execute data management focusing on data governance and data quality activities. Experience of using tool like Collibra is a must. Systems/ Tools/ Application knowledge: Experience with process design and process enhancement Proficiency in data operations and data management Advanced proficiency in Excel Skills in a BI tool such as Power BI Advanced SQL skills Experience with Python is a plus Displays high attention to detail Demonstrates outstanding initiative and strong work ethic Focuses on delivery excellence and accountability Displays team-work orientation and is highly collaborative Displays strong integrity and professionalism Builds strong relationships with local and global colleagues Demonstrates strong track record in accuracy and organization Demonstrates excellent written, verbal, and interpersonal communication skills KKR is an equal opportunity employer. Individuals seeking employment are considered without regard to race, color, religion, national origin, age, sex, marital status, ancestry, physical or mental disability, veteran status, sexual orientation, or any other category protected by applicable law.

Project Role : Application Developer Project Role Description : Design, build and configure applications to meet business process and application requirements. Must have skills : Collibra Data Quality & Observability Good to have skills : Collibra Data Governance Minimum 7.5 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 that align with business objectives, and ensuring that applications are functioning optimally. You will also engage in problem-solving activities, providing support and enhancements to existing applications while maintaining a focus on quality and efficiency. Key Responsibilities: Configure and implement Collibra Data Quality (CDQ) rules, workflows, dashboards, and data quality scoring metrics. Collaborate with data stewards, data owners, and business analysts to define data quality KPIs and thresholds. Develop data profiling and rule-based monitoring using CDQ's native rule engine or integrations (e.g., with Informatica, Talend, or BigQuery). Build and maintain Data Quality Dashboards and Issue Management workflows within Collibra. Integrate CDQ with Collibra Data Intelligence Cloud for end-to-end governance visibility. Drive root cause analysis and remediation plans for data quality issues. Support metadata and lineage enrichment to improve data traceability. Document standards, rule logic, and DQ policies in the Collibra Catalog. Conduct user training and promote data quality best practices across teams. Required Skills and Experience: 3+ years of experience in data quality, metadata management, or data governance. Hands-on experience with Collibra Data Quality & Observability (CDQ) platform. Knowledge of Collibra Data Intelligence Cloud including Catalog, Glossary, and Workflow Designer. Proficiency in SQL and understanding of data profiling techniques. Experience integrating CDQ with enterprise data sources (Snowflake, BigQuery, Databricks, etc.). Familiarity with data governance frameworks and data quality dimensions (accuracy, completeness, consistency, etc.). Excellent analytical, problem-solving, and communication skills. Additional Information: - The candidate should have minimum 7.5 years of experience in Collibra Data Quality & Observability. - This position is based in Mumbai. - A 15 years full time education is required.

Project Role : Application Developer Project Role Description : Design, build and configure applications to meet business process and application requirements. Must have skills : Collibra Data Quality & Observability Good to have skills : Collibra Data Governance Minimum 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 that align with business objectives, and ensuring that applications are functioning optimally. You will also engage in problem-solving activities, providing support and enhancements to existing applications while maintaining a focus on quality and efficiency. Key Responsibilities: Configure and implement Collibra Data Quality (CDQ) rules, workflows, dashboards, and data quality scoring metrics. Collaborate with data stewards, data owners, and business analysts to define data quality KPIs and thresholds. Develop data profiling and rule-based monitoring using CDQ's native rule engine or integrations (e.g., with Informatica, Talend, or BigQuery). Build and maintain Data Quality Dashboards and Issue Management workflows within Collibra. Integrate CDQ with Collibra Data Intelligence Cloud for end-to-end governance visibility. Drive root cause analysis and remediation plans for data quality issues. Support metadata and lineage enrichment to improve data traceability. Document standards, rule logic, and DQ policies in the Collibra Catalog. Conduct user training and promote data quality best practices across teams. Required Skills and Experience: 3+ years of experience in data quality, metadata management, or data governance. Hands-on experience with Collibra Data Quality & Observability (CDQ) platform. Knowledge of Collibra Data Intelligence Cloud including Catalog, Glossary, and Workflow Designer. Proficiency in SQL and understanding of data profiling techniques. Experience integrating CDQ with enterprise data sources (Snowflake, BigQuery, Databricks, etc.). Familiarity with data governance frameworks and data quality dimensions (accuracy, completeness, consistency, etc.). Excellent analytical, problem-solving, and communication skills. Additional Information: - The candidate should have minimum 7.5 years of experience in Collibra Data Quality & Observability. - This position is based in Mumbai. - A 15 years full time education is required. 15 years full time education

Our Global Diabetes Capability Center in Pune is expanding to serve more people living with diabetes globally. Our state-of-the-art facility is dedicated to transforming diabetes management through innovative solutions and technologies that reduce the burden of living with diabetes. Medtronic is hiring a Senior Data Governance Engineer. As a Senior engineer, you will be a key member of our Data Governance team, defining scope, assessing current data governance capabilities, building roadmaps to mature data governance capabilities. This role offers a dynamic opportunity to join Medtronic's Diabetes business. Medtronic has announced its intention to separate the Diabetes division to promote future growth and innovation within the business and reallocate investments and resources across Medtronic, subject to applicable information and consultation requirements. While you will start your employment with Medtronic, upon establishment of SpinCo or the transition of the Diabetes business to another company, your employment may transfer to either SpinCo or the other company, at Medtronic's discretion and subject to any applicable information and consultation requirements in your jurisdiction. Responsibilities may include the following and other duties may be assigned: Data Governance Strategy Development - responsible for the strategic development, architectural definition, and enterprise wide data governance and data management initiatives supporting the delivery of data as a service. Provide Data Governance and Data Management advisory expertise Responsible for the identification and evaluation of metadata platform alternatives, the development of the logical metadata framework architecture, and the definition and implementation of metadata maintenance processes. Defining Data Governance operating models, roles, and responsibilities in collaboration with Medtronic requirements. Responsible for the assessment and selection of Data Management tools landscape including: data profiling, data quality, metadata, MDM, rules engines, and pattern matching Refine and develop the data-centric approach and methodologies which may include areas such as: data strategy, data governance, data lineage, analytics, business intelligence, data architecture, data quality, master data management and data integration and delivery Assess current state capabilities, identify gaps versus leading practices, and recommend future state data requirements. Identify opportunities for new workflows, third party glossary/metadata tools, database architectures, and third party pre-existing data models. Work closely with business and technology stakeholders to assist in understanding and documenting data requirements, lineage, and partnering with IT data integration and data warehouse teams to ensure requirements are effectively executed. Help define data modeling naming standards, abbreviations, guidelines, and best practices Enhance or design data model review processes based on business requirements. Required Knowledge and Experience: At least 5 years of experience developing / structuring an enterprise-wide data governance organization and business process (operating models, roles, partner organizations, responsibilities). Hands-on with both the business side and IT side implementing or supporting an MDM and/or Data Warehouse and Reporting IT solutions. Utilize strong business knowledge of the investment management industry and common data management operations. Broad understanding of the role of data management within global markets organizations, information flow, and data governance issues. Domain expertise in specific areas of Data Management such as: data strategy, data governance, data lineage, analytics, business intelligence, data architecture, data quality, master data management and data integration and delivery.

Position Summary... What you'll do... This Position is with the Data Platform Engineering team (People Data Platforms) under the Enterprise Business Services – People Technology organisation focusing on Enterprise area of People Systems which is amid a massive digital transformation. The objective of the People tech organization is to build the best-in-class engineering, analytics and data science solutions that power the best experience for our people, adhering to the Walmart philosophy - Everyday Low Cost. People Data team is responsible to build and maintain People Data Lake platform and other analytical products that aim to democratize access to HR data, enabling tech teams and business users across Walmart with relevant, timely data by streamlining acquisition, curation and consumption of data from various HR systems. The Team supports multiple use-cases that focus on providing engaging employee experiences resulting in global company success. The team is spread over multiple locations, and we work towards providing the best experience to Walmart associates and Business Stakeholders. We are seeking an accomplished Staff Software Engineer to join our Data Platform Engineering team. This critical role is for a passionate technical leader eager to architect, design, and implement robust, scalable, and secure data platforms and pipelines. Leveraging deep expertise in big data technologies, cloud security, and data governance, you will tackle complex, ambiguous challenges across multiple teams and critical business initiatives. Beyond hands-on contributions, you will mentor engineers, champion best practices, and significantly influence the overall technical direction and culture of the organization. Staff Engineers at Walmart lead through unparalleled technical excellence, strategic thinking, and cross-functional influence What You'll Do : Define, drive, and be accountable for the technical strategy and architectural vision for the People Data Lake platform, data pipelines, and analytical products, ensuring alignment with overall business and engineering objectives. Lead the design and implementation of complex, multi-functional data solutions, particularly focusing on data security, access control, encryption, and privacy (e.g., Sensitive Data Protection framework, RBAC/ABAC, dynamic masking). Identify and evaluate critical technical challenges and opportunities across the engineering landscape, proposing innovative and impactful solutions that can span multiple teams. Champion and advocate for best practices in data engineering, software development, CI/CD, data quality, and operational excellence within the team and across the organization. Architect, develop, and maintain robust and scalable batch and streaming data pipelines using Google Data-proc, Apache Spark, Structured Streaming, and Airflow for orchestration. Design, develop, and maintain data security, access control, and encryption solutions within the data platform, working extensively with Google Cloud Platform (GCP) services including Big Query, GCS, IAM, and KMS to develop secure data solutions. Implement and optimize data transformation, integration, and consumption layers (Medallion Architecture) to deliver high-quality, actionable data for diverse use cases. Design and implement secure APIs and microservices for seamless data access and integration. Utilize Infrastructure as Code (IaaS) tools like Ansible and Terraform for automated cloud deployments and infrastructure management. Lead the technical implementation of data governance frameworks, policies, and standards, with a strong focus on data privacy, security (encryption, masking), and regulatory compliance (e.g., GDPR, HIPAA, SOC 2). Collaborate closely with data governance teams and utilize tools like Collibra, EDP, and GCP Data Catalog to ensure proper classification, metadata management, and secure handling of sensitive HR data. Provide expert guidance and establish best practices over the management of data assets, including data quality, retention, and accessibility. Serve as a primary technical mentor, providing coaching and guidance to Senior and Staff Software Engineers, fostering their growth and development in complex technical areas, architectural design, and problem-solving methodologies. Cultivate a culture of technical excellence, continuous learning, and innovation within the team. Collaborate cross-functionally with product managers, business stakeholders, data scientists, and other engineering teams to translate complex business requirements into technical strategies and deliver impactful solutions. Effectively manage multiple initiatives by delivering and delegating as appropriate, ensuring completion of assigned tasks, and representing tasks and technical direction to stakeholders. Address ambiguous, high-impact technical problems that span multiple systems or teams, driving them to resolution and enabling team productivity. Evaluate new technologies and approaches, recommending their adoption where they can provide significant business value or technical advantage. Proactively identify and resolve systemic issues in data architecture, pipelines, and processes. What You'll Bring: Bachelor's degree in Computer Science, Engineering, or a related field, and 9-12 years of experience in software engineering, with a significant focus on data platforms. Strong programming skills in Python, Java, or Scala. Proven experience as a Staff Software Engineer or in a similar senior technical leadership role. Strong problem-solving skills and the ability to work in fast-paced environments. Demonstrable experience with Infrastructure as Code (IaaS) tools like Ansible and Terraform for Cloud Deployments. Demonstrable experience in designing secure APIs and microservices, including Common API Architecture Styles (REST, GraphQL, gRPC, RPC). Expertise in distributed data processing frameworks, like Apache Spark on Google Data-proc, Kafka, Hadoop, Flink, or Apache Beam. Expertise in database technologies and distributed datastores (e.g., SQL, NoSQL, MPP databases such as BigQuery). Strong understanding of API Design Principles & NFR's (Scalability, Maintainability, Availability, Reliability). Hands-on experience with Google Cloud Platform (GCP) and its security-related services (IAM, KMS, Cloud Audit Logs, etc.). Exposure to data engineering techniques, including ETL pipeline development, data ingestion, and data wrangling. Solid understanding of security frameworks like OAuth, OpenID Connect, and JWT-based authentication. Experience designing secure APIs and microservices. Knowledge of data governance, compliance (GDPR, HIPAA, SOC 2, etc.), and regulatory requirements. Familiarity with encryption standards and cryptographic protocols. Experience with data orchestration tools such as Apache Airflow or Google Cloud Composer. Experience with streaming data systems like Kafka and Google Pub/Sub. Knowledge of containerisation (e.g., Docker, Kubernetes) and how to deploy and scale data engineering workloads in cloud environments. About Walmart Global Tech Imagine working in an environment where one line of code can make life easier for hundreds of millions of people. That’s what we do at Walmart Global Tech. We’re a team of software engineers, data scientists, cybersecurity expert's and service professionals within the world’s leading retailer who make an epic impact and are at the forefront of the next retail disruption. People are why we innovate, and people power our innovations. We are people-led and tech-empowered. We train our team in the skillsets of the future and bring in experts like you to help us grow. We have roles for those chasing their first opportunity as well as those looking for the opportunity that will define their career. Here, you can kickstart a great career in tech, gain new skills and experience for virtually every industry, or leverage your expertise to innovate at scale, impact millions and reimagine the future of retail. Flexible, hybrid work We use a hybrid way of working with primary in office presence coupled with an optimal mix of virtual presence. We use our campuses to collaborate and be together in person, as business needs require and for development and networking opportunities. This approach helps us make quicker decisions, remove location barriers across our global team, be more flexible in our personal lives. Benefits Beyond our great compensation package, you can receive incentive awards for your performance. Other great perks include a host of best-in-class benefits maternity and parental leave, PTO, health benefits, and much more. Belonging We aim to create a culture where every associate feels valued for who they are, rooted in respect for the individual. Our goal is to foster a sense of belonging, to create opportunities for all our associates, customers and suppliers, and to be a Walmart for everyone. At Walmart, our vision is "everyone included." By fostering a workplace culture where everyone is—and feels—included, everyone wins. Our associates and customers reflect the makeup of all 19 countries where we operate. By making Walmart a welcoming place where all people feel like they belong, we’re able to engage associates, strengthen our business, improve our ability to serve customers, and support the communities where we operate. Equal Opportunity Employer Walmart, Inc., is an Equal Opportunities Employer – By Choice. We believe we are best equipped to help our associates, customers and the communities we serve live better when we really know them. That means understanding, respecting and valuing unique styles, experiences, identities, ideas and opinions – while being inclusive of all people. Minimum Qualifications... Outlined below are the required minimum qualifications for this position. If none are listed, there are no minimum qualifications. Minimum Qualifications:Option 1: Bachelor's degree in computer science, computer engineering, computer information systems, software engineering, or related area and 4 years’ experience in software engineering or related area.Option 2: 6 years’ experience in software engineering or related area. Preferred Qualifications... Outlined below are the optional preferred qualifications for this position. If none are listed, there are no preferred qualifications. Master’s degree in Computer Science, Computer Engineering, Computer Information Systems, Software Engineering, or related area and 2 years' experience in software engineering or related area Primary Location... Rmz Millenia Business Park, No 143, Campus 1B (1St -6Th Floor), Dr. Mgr Road, (North Veeranam Salai) Perungudi , India R-2211097

About McDonald’s: One of the world’s largest employers with locations in more than 100 countries, McDonald’s Corporation has corporate opportunities in Hyderabad. Our global offices serve as dynamic innovation and operations hubs, designed to expand McDonald's global talent base and in-house expertise. Our new office in Hyderabad will bring together knowledge across business, technology, analytics, and AI, accelerating our ability to deliver impactful solutions for the business and our customers across the globe. Position Summary: Data Quality - Supervisor As the Data Quality Lead, you will define and drive the enterprise-wide strategy for data quality management—ensuring that data is accurate, consistent, and trustworthy across the analytics and AI/ML ecosystem. This role combines strategic leadership with technical execution, overseeing quality frameworks, tooling, and cross-functional processes that ensure data integrity across cloud-native platforms such as GCP, AWS, BigQuery, and Redshift. You will collaborate closely with data governance, engineering, and business teams to embed data quality into the core of operational and analytical systems. Who we are looking for: Primary Responsibilities: Data Quality Strategy & Leadership: Define and lead the implementation of enterprise data quality frameworks, standards, and operating models. Establish and track data quality KPIs, thresholds, and remediation SLAs across domains and business functions. Champion a data quality mindset across the organization by partnering with data owners, stewards, and executives. Cloud Platform & Data Ecosystem Integration: Design and oversee quality frameworks across GCP (BigQuery, GCS), AWS (Redshift, S3), and hybrid environments. Integrate data quality validation and monitoring into data ingestion, transformation, and AI / ML pipelines. Oversee automation and observability for data quality using tools like Airflow, Cloud Composer, and CI/CD pipelines. Tooling & Automation: Lead the evaluation, implementation, and expansion of data quality tools (e.g., Dataplex, Lightup, Collibra, or custom frameworks). Integrate data quality metrics and rules with Collibra or similar governance platforms for lineage, stewardship, and policy enforcement. Ensure quality rules are version-controlled, modular, and adaptable for new data domains. Operations & Incident Management: Oversee enterprise processes for data anomaly detection, triage, root cause analysis, and resolution. Coordinate quality audits, incident reviews, and continuous improvement programs with data engineering and analytics teams. Ensure compliance with internal standards and external regulations (e.g., GDPR, CCPA, HIPAA). Team Leadership & Collaboration: Lead a team of data quality engineers and analysts to implement and scale quality controls. Collaborate with data governance, data engineering, AI/ML, and domain owners to embed quality into product and platform development. Present strategic insights, trends, and risks to senior leadership and data councils. Skill: 4-7 years of experience in data quality, data governance, or data operations, with at least 3 years in a leadership role. Proven experience with: Data quality tooling and validation frameworks Cloud-native environments: GCP (BigQuery, GCS) and AWS (Redshift, S3) Scripting in SQL and Python for custom checks, validation jobs, and automation Data quality integration with governance platforms such as Collibra Strong analytical and problem-solving skills, particularly in diagnosing and preventing data integrity issues. Bachelor's or Master’s degree in Computer Science, Data Science, Information Systems, or a related field. Preferred Experience: Experience in Retail or Quick Service Restaurant (QSR) environments where trusted data is critical for real-time decisions. Familiarity with AI/ML pipelines and how upstream data quality affects model performance. Understanding of data mesh, domain-based ownership, and federated data quality models. Current GCP Associates (or Professional) Certification. Work location: Hyderabad, India Work pattern: Full time role. Work mode: Hybrid. Additional Information: McDonald’s is committed to providing qualified individuals with disabilities with reasonable accommodations to perform the essential functions of their jobs. McDonald’s provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to sex, sex stereotyping, pregnancy (including pregnancy, childbirth, and medical conditions related to pregnancy, childbirth, or breastfeeding), race, color, religion, ancestry or national origin, age, disability status, medical condition, marital status, sexual orientation, gender, gender identity, gender expression, transgender status, protected military or veteran status, citizenship status, genetic information, or any other characteristic protected by federal, state or local laws. This policy applies to all terms and conditions of employment, including recruiting, hiring, placement, promotion, termination, layoff, recall, transfer, leaves of absence, compensation and training. McDonald’s Capability Center India Private Limited (“McDonald’s in India”) is a proud equal opportunity employer and is committed to hiring a diverse workforce and sustaining an inclusive culture. At McDonald’s in India, employment decisions are based on merit, job requirements, and business needs, and all qualified candidates are considered for employment. McDonald’s in India does not discriminate based on race, religion, colour, age, gender, marital status, nationality, ethnic origin, sexual orientation, political affiliation, veteran status, disability status, medical history, parental status, genetic information, or any other basis protected under state or local laws. Nothing in this job posting or description should be construed as an offer or guarantee of employment.

About McDonald’s: One of the world’s largest employers with locations in more than 100 countries, McDonald’s Corporation has corporate opportunities in Hyderabad. Our global offices serve as dynamic innovation and operations hubs, designed to expand McDonald's global talent base and in-house expertise. Our new office in Hyderabad will bring together knowledge across business, technology, analytics, and AI, accelerating our ability to deliver impactful solutions for the business and our customers across the globe. Position Summary: Data Accessibility - Supervisor, Data Operations & Management As the Data Accessibility Lead, you will drive the enterprise-wide strategy for enabling secure, governed, and scalable access to data for AI/ML, analytics, and business operations. You will lead cross-functional teams responsible for managing data lifecycle, enforcing data quality standards, and implementing modern governance tooling such as Collibra. This role is pivotal to operationalizing data accessibility across cloud platforms like GCP and AWS, including BigQuery, Redshift, and other core data infrastructure. Who we are looking for: Primary Responsibilities: Strategic Data Accessibility Leadership: Set the strategic direction for enterprise data accessibility, ensuring consistent and secure access across teams and platforms. Lead the implementation and adoption of data governance tools (e.g., Collibra) to manage metadata, lineage, and data policies. Champion enterprise adoption of semantic and technical metadata practices for improved discoverability and data use. AI / ML Enablement: Oversee the availability, quality, and governance of data used for AI / ML model development and lifecycle management. Ensure that model training, validation, and deployment pipelines have reliable and timely access to governed datasets. Partner with MLOps, engineering, and product teams to embed data accessibility standards in model workflows. Cloud Platform Integration: Oversee data accessibility initiatives in GCP and AWS, including integration with BigQuery, Redshift, and cloud-native storage. Develop strategies for managing access controls, encryption, and auditability of data assets across cloud environments. Data Governance & Quality Oversight: Define and enforce enterprise data quality standards, including data profiling, validation, and exception handling workflows. Ensure compliance with internal data policies and external regulations (e.g., GDPR, HIPAA, CCPA). Lead enterprise initiatives around data lifecycle management, from ingestion and processing to archival and retention. Cross-Functional Collaboration & Leadership: Lead and mentor a team of data operations professionals and collaborate with data engineering, governance, AI/ML, and compliance teams. Provide executive-level insights and recommendations for improving enterprise data accessibility, quality, and governance practices. Drive alignment between business units, technical teams, and compliance functions through effective data stewardship. Skill: 4 to 7 years of experience in data operations, data governance, or data quality management, with at least 3 years in a strategic leadership capacity. Strong hands-on and strategic experience with: Collibra or similar data governance platforms Cloud platforms: Google Cloud Platform (GCP), Amazon Web Services (AWS) Enterprise data warehouses such as Big Query, Redshift, or Snowflake AI/ML model lifecycle support and MLOps integration Data quality frameworks, metadata management, and data access policy enforcement SQL Strong analytical and problem-solving skills; ability to work across highly matrixed, global organizations. Exceptional communication, leadership, and stakeholder management skills. Bachelor’s or Master’s degree in Data Science, Information Systems, or a related field. Preferred Experience: Experience in Retail or Quick Service Restaurant (QSR) environments with operational and real-time analytics needs. Familiarity with data mesh concepts, data product ownership, and domain-based accessibility strategies. Experience navigating privacy, residency, or regulatory compliance in global data environments. Current GCP Associates (or Professional) Certification. Work location: Hyderabad, India Work pattern: Full time role. Work mode: Hybrid. Additional Information: McDonald’s is committed to providing qualified individuals with disabilities with reasonable accommodations to perform the essential functions of their jobs. McDonald’s provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to sex, sex stereotyping, pregnancy (including pregnancy, childbirth, and medical conditions related to pregnancy, childbirth, or breastfeeding), race, color, religion, ancestry or national origin, age, disability status, medical condition, marital status, sexual orientation, gender, gender identity, gender expression, transgender status, protected military or veteran status, citizenship status, genetic information, or any other characteristic protected by federal, state or local laws. This policy applies to all terms and conditions of employment, including recruiting, hiring, placement, promotion, termination, layoff, recall, transfer, leaves of absence, compensation and training. McDonald’s Capability Center India Private Limited (“McDonald’s in India”) is a proud equal opportunity employer and is committed to hiring a diverse workforce and sustaining an inclusive culture. At McDonald’s in India, employment decisions are based on merit, job requirements, and business needs, and all qualified candidates are considered for employment. McDonald’s in India does not discriminate based on race, religion, colour, age, gender, marital status, nationality, ethnic origin, sexual orientation, political affiliation, veteran status, disability status, medical history, parental status, genetic information, or any other basis protected under state or local laws. Nothing in this job posting or description should be construed as an offer or guarantee of employment.

About McDonald’s: One of the world’s largest employers with locations in more than 100 countries, McDonald’s Corporation has corporate opportunities in Hyderabad. Our global offices serve as dynamic innovation and operations hubs, designed to expand McDonald's global talent base and in-house expertise. Our new office in Hyderabad will bring together knowledge across business, technology, analytics, and AI, accelerating our ability to deliver impactful solutions for the business and our customers across the globe. Position Summary: Data Quality Engineering Support: (Manager, Data Operations & Management) As the Data Quality Engineering Support Manager, you will be responsible for implementing, scaling, and supporting enterprise-wide data quality frameworks across cloud-native data platforms. You will drive hands-on initiatives to monitor, validate, and reconcile data across ingestion, processing, and consumption layers—enabling trusted data for analytics, AI/ML, and operational workflows. This role requires a blend of technical depth, platform expertise (e.g., BigQuery, Redshift, GCP, AWS), and collaboration across engineering, governance, and product teams. Who we are looking for: Primary Responsibilities: Data Quality Engineering & Monitoring: Implement and support automated data quality checks for accuracy, completeness, timeliness, and consistency across datasets. Develop validation frameworks for ingestion pipelines, curated layers, and reporting models in platforms like BigQuery and Redshift. Integrate data quality controls into CI/CD pipelines and orchestration tools (e.g., Airflow, Cloud Composer). Data Quality Operations: Respond to and resolve data quality incidents and discrepancies across data domains and systems. Collaborate with engineering and product teams to implement root cause analysis and build long-term remediation strategies. Establish SLAs and alerting thresholds for data quality KPIs. Cloud Platform Integration Deploy scalable data quality monitoring solutions across GCP (BigQuery, Cloud Storage) and AWS (Redshift, S3, Glue). Leverage platform-native services and third-party tools for automated profiling, rule enforcement, and anomaly detection. Governance Alignment: Partner with data governance teams to align quality rules with business glossary terms, reference data, and stewardship models. Integrate quality metadata into governance tools such as Collibra, enabling lineage and audit tracking. Documentation, Enablement & Collaboration Maintain playbooks, documentation, and automated reporting for quality audits and exception handling. Collaborate with data owners, analysts, and data product teams to promote a culture of data trust and shared ownership. Provide training and knowledge-sharing to enable self-service quality monitoring and issue triaging. Skill: 5+ years of experience in data quality engineering, data operations, or data pipeline support, ideally in a cloud-first environment. Hands-on expertise in: Building and managing data quality checks (e.g., null checks, duplicates, data drift, schema mismatches) SQL and Python for quality validation and automation Working with cloud-native data stacks: BigQuery, Redshift, GCS, S3 Data quality monitoring tools or frameworks (e.g., Dataplex, Lightup, Collibra) Strong troubleshooting skills across distributed data systems and pipelines. Bachelor’s degree in Computer Science, Information Systems, or related field. Preferred Experience: Experience in Retail or Quick Service Restaurant (QSR) environments with high-volume data ingestion and reporting requirements. Familiarity with data governance platforms (e.g., Collibra) and integration of quality rules into metadata models. Exposure to AI/ML data pipelines and the impact of data quality on model performance. Current GCP Associates (or Professional) Certification. Work location: Hyderabad, India Work hours: Work pattern: Full time role. Work mode: Hybrid. Additional Information: McDonald’s is committed to providing qualified individuals with disabilities with reasonable[LG1] accommodations to perform the essential functions of their jobs. McDonald’s provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to sex, sex stereotyping, pregnancy (including pregnancy, childbirth, and medical conditions related to pregnancy, childbirth, or breastfeeding), race, color, religion, ancestry or national origin, age, disability status, medical condition, marital status, sexual orientation, gender, gender identity, gender expression, transgender status, protected military or veteran status, citizenship status, genetic information, or any other characteristic protected by federal, state or local laws. This policy applies to all terms and conditions of employment, including recruiting, hiring, placement, promotion, termination, layoff, recall, transfer, leaves of absence, compensation and training. McDonald’s Capability Center India Private Limited (“McDonald’s in India”) is a proud equal opportunity employer and is committed to hiring a diverse workforce and sustaining an inclusive culture. At McDonald’s in India, employment decisions are based on merit, job requirements, and business needs, and all qualified candidates are considered for employment. McDonald’s in India does not discriminate based on race, religion, colour, age, gender, marital status, nationality, ethnic origin, sexual orientation, political affiliation, veteran status, disability status, medical history, parental status, genetic information, or any other basis protected under state or local laws. Nothing in this job posting or description should be construed as an offer or guarantee of employment.

About McDonald’s: One of the world’s largest employers with locations in more than 100 countries, McDonald’s Corporation has corporate opportunities in Hyderabad. Our global offices serve as dynamic innovation and operations hubs, designed to expand McDonald's global talent base and in-house expertise. Our new office in Hyderabad will bring together knowledge across business, technology, analytics, and AI, accelerating our ability to deliver impactful solutions for the business and our customers across the globe. Position Summary: Data Accessibility , Data Governance Tooling & Lifecycle Mgmt Engineering Support As the Data Accessibility Lead, you will drive the enterprise-wide strategy for enabling secure, governed, and scalable access to data for AI/ML, analytics, and business operations. You will lead cross-functional teams responsible for managing data lifecycle, enforcing data quality standards, and implementing modern governance tooling such as Collibra. This role is pivotal to operationalizing data accessibility across cloud platforms like GCP and AWS, including BigQuery, Redshift, and other core data infrastructure. Who we are looking for: Primary Responsibilities: Strategic Data Accessibility Leadership: Set the strategic direction for enterprise data accessibility, ensuring consistent and secure access across teams and platforms. Lead the implementation and adoption of data governance tools (e.g., Collibra) to manage metadata, lineage, and data policies. Champion enterprise adoption of semantic and technical metadata practices for improved discoverability and data use. AI/ML Enablement: Oversee the availability, quality, and governance of data used for AI / ML model development and lifecycle management. Ensure that model training, validation, and deployment pipelines have reliable and timely access to governed datasets. Partner with MLOps, engineering, and product teams to embed data accessibility standards in model workflows. Cloud Platform Integration: Oversee data accessibility initiatives in GCP and AWS, including integration with BigQuery, Redshift, and cloud-native storage. Develop strategies for managing access controls, encryption, and auditability of data assets across cloud environments. Data Governance & Quality Oversight: Define and enforce enterprise data quality standards, including data profiling, validation, and exception handling workflows. Ensure compliance with internal data policies and external regulations (e.g., GDPR, HIPAA, CCPA). Lead enterprise initiatives around data lifecycle management, from ingestion and processing to archival and retention. Cross-Functional Collaboration & Leadership: Lead and mentor a team of data operations professionals and collaborate with data engineering, governance, AI / ML, and compliance teams. Provide executive-level insights and recommendations for improving enterprise data accessibility, quality, and governance practices. Drive alignment between business units, technical teams, and compliance functions through effective data stewardship. Skill: 4 to 7 years of experience in data operations, data governance, or data quality management, with at least 3 years in a strategic leadership capacity. Strong hands-on and strategic experience with: Collibra or similar data governance platforms Cloud platforms: Google Cloud Platform (GCP), Amazon Web Services (AWS) Enterprise data warehouses such as Big Query, Redshift, or Snowflake AI / ML model lifecycle support and MLOps integration Data quality frameworks, metadata management, and data access policy enforcement SQL Strong analytical and problem-solving skills; ability to work across highly matrixed, global organizations. Exceptional communication, leadership, and stakeholder management skills. Bachelor’s or Master’s degree in Data Science, Information Systems, or a related field. Preferred Experience: Experience in Retail or Quick Service Restaurant (QSR) environments with operational and real-time analytics needs. Familiarity with data mesh concepts, data product ownership, and domain-based accessibility strategies. Experience navigating privacy, residency, or regulatory compliance in global data environments. Current GCP Associates (or Professional) Certification. Work location: Hyderabad, India Work pattern: Full time role. Work mode: Hybrid. Additional Information: McDonald’s is committed to providing qualified individuals with disabilities with reasonable accommodations to perform the essential functions of their jobs. McDonald’s provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to sex, sex stereotyping, pregnancy (including pregnancy, childbirth, and medical conditions related to pregnancy, childbirth, or breastfeeding), race, color, religion, ancestry or national origin, age, disability status, medical condition, marital status, sexual orientation, gender, gender identity, gender expression, transgender status, protected military or veteran status, citizenship status, genetic information, or any other characteristic protected by federal, state or local laws. This policy applies to all terms and conditions of employment, including recruiting, hiring, placement, promotion, termination, layoff, recall, transfer, leaves of absence, compensation and training. McDonald’s Capability Center India Private Limited (“McDonald’s in India”) is a proud equal opportunity employer and is committed to hiring a diverse workforce and sustaining an inclusive culture. At McDonald’s in India, employment decisions are based on merit, job requirements, and business needs, and all qualified candidates are considered for employment. McDonald’s in India does not discriminate based on race, religion, colour, age, gender, marital status, nationality, ethnic origin, sexual orientation, political affiliation, veteran status, disability status, medical history, parental status, genetic information, or any other basis protected under state or local laws. Nothing in this job posting or description should be construed as an offer or guarantee of employment

At EY, you’ll have the chance to build a career as unique as you are, with the global scale, support, inclusive culture and technology to become the best version of you. And we’re counting on your unique voice and perspective to help EY become even better, too. Join us and build an exceptional experience for yourself, and a better working world for all. EY GDS – Data and Analytics (D&A) – Senior – Collibra As part of our EY-GDS D&A (Data and Analytics) team, we assist our clients in overcoming complex business challenges through the power of data and technology. We delve deep into data to extract maximum value and uncover opportunities across key sectors, including Banking, Insurance, Manufacturing, Healthcare, Retail, Supply Chain, and Finance. The opportunity We are seeking candidates with a robust understanding of technology and data in the Data Governance and Data Cataloguing space, along with a proven track record of successful delivery. This is an excellent opportunity to join a leading firm and be part of a dynamic Data and Analytics team. Your Key Responsibilities Develop standardized practices for creating and deploying data cataloguing and metadata solutions using Collibra. Collaborate with client technology leaders to understand their business objectives and architect data governance solutions tailored to their needs. Define and implement best practices for metadata management specific to client requirements. Create and maintain data dictionaries and hierarchies within Collibra. Integrate Collibra into the broader Data Analytics ecosystem, ensuring seamless functionality with other tools. Skills And Attributes For Success 3 - 7 years of total IT experience. Strong experience in designing and building solutions using Collibra (Data Catalog, Metadata ingestion, Data Classification & Tagging, Data Lineage, Workflow creation). Extensive experience in developing and maintaining data cataloguing solutions. Proficient programming skills in Python/ Java/ Groovy. Solid understanding of Data Governance and Metadata management principles. Hands-on experience with API Integration. Familiarity with at least one other data governance tool such as MS Purview/Alation/Informatica. Knowledge of data engineering pipelines in with Informatica PowerCenter, IDMC is preferred. Knowledge of data engineering pipelines in Azure/Databricks is preferred. Experience with BI and data analytics databases is a plus. Ability to translate business challenges into technical solutions, considering security, performance, and scalability. To qualify for the role, you must have. Be a computer science graduate or equivalent with > 3 years of industry experience. Have working experience in an Agile base delivery methodology. Flexible and proactive/self-motivated working style with strong personal ownership of problem resolution. Excellent communicator (written and verbal formal and informal). Ability to multi-task under pressure and work independently with minimal supervision. Strong verbal and written communication skills. Must be a team player and enjoy working in a cooperative and collaborative team environment. Adaptable to new technologies and standards. Participate in all aspects of solution delivery life cycle including analysis, design, development, testing, production deployment, and support. Ideally, you’ll also have Client management skills Solutioning skills What We Look For People with technical experience and enthusiasm to learn new things in this fast-moving environment. What Working At EY Offers At EY, we’re dedicated to helping our clients, from startups to Fortune 500 companies — and the work we do with them is as varied as they are. You get to work with inspiring and meaningful projects. Our focus is education and coaching alongside practical experience to ensure your personal development. We value our employees, and you will be able to control your own development with an individual progression plan. You will quickly grow into a responsible role with challenging and stimulating assignments. Moreover, you will be part of an interdisciplinary environment that emphasizes high quality and knowledge exchange. Plus, we offer: Support, coaching and feedback from some of the most engaging colleagues around Opportunities to develop new skills and progress your career. The freedom and flexibility to handle your role in a way that’s right for you. EY | Building a better working world EY exists to build a better working world, helping to create long-term value for clients, people and society and build trust in the capital markets. Enabled by data and technology, diverse EY teams in over 150 countries provide trust through assurance and help clients grow, transform and operate. Working across assurance, consulting, law, strategy, tax and transactions, EY teams ask better questions to find new answers for the complex issues facing our world today.

At EY, you’ll have the chance to build a career as unique as you are, with the global scale, support, inclusive culture and technology to become the best version of you. And we’re counting on your unique voice and perspective to help EY become even better, too. Join us and build an exceptional experience for yourself, and a better working world for all. EY GDS – Data and Analytics (D&A) – Senior – Collibra As part of our EY-GDS D&A (Data and Analytics) team, we assist our clients in overcoming complex business challenges through the power of data and technology. We delve deep into data to extract maximum value and uncover opportunities across key sectors, including Banking, Insurance, Manufacturing, Healthcare, Retail, Supply Chain, and Finance. The opportunity We are seeking candidates with a robust understanding of technology and data in the Data Governance and Data Cataloguing space, along with a proven track record of successful delivery. This is an excellent opportunity to join a leading firm and be part of a dynamic Data and Analytics team. Your Key Responsibilities Develop standardized practices for creating and deploying data cataloguing and metadata solutions using Collibra. Collaborate with client technology leaders to understand their business objectives and architect data governance solutions tailored to their needs. Define and implement best practices for metadata management specific to client requirements. Create and maintain data dictionaries and hierarchies within Collibra. Integrate Collibra into the broader Data Analytics ecosystem, ensuring seamless functionality with other tools. Skills And Attributes For Success 3 - 7 years of total IT experience. Strong experience in designing and building solutions using Collibra (Data Catalog, Metadata ingestion, Data Classification & Tagging, Data Lineage, Workflow creation). Extensive experience in developing and maintaining data cataloguing solutions. Proficient programming skills in Python/ Java/ Groovy. Solid understanding of Data Governance and Metadata management principles. Hands-on experience with API Integration. Familiarity with at least one other data governance tool such as MS Purview/Alation/Informatica. Knowledge of data engineering pipelines in with Informatica PowerCenter, IDMC is preferred. Knowledge of data engineering pipelines in Azure/Databricks is preferred. Experience with BI and data analytics databases is a plus. Ability to translate business challenges into technical solutions, considering security, performance, and scalability. To qualify for the role, you must have. Be a computer science graduate or equivalent with > 3 years of industry experience. Have working experience in an Agile base delivery methodology. Flexible and proactive/self-motivated working style with strong personal ownership of problem resolution. Excellent communicator (written and verbal formal and informal). Ability to multi-task under pressure and work independently with minimal supervision. Strong verbal and written communication skills. Must be a team player and enjoy working in a cooperative and collaborative team environment. Adaptable to new technologies and standards. Participate in all aspects of solution delivery life cycle including analysis, design, development, testing, production deployment, and support. Ideally, you’ll also have Client management skills Solutioning skills What We Look For People with technical experience and enthusiasm to learn new things in this fast-moving environment. What Working At EY Offers At EY, we’re dedicated to helping our clients, from startups to Fortune 500 companies — and the work we do with them is as varied as they are. You get to work with inspiring and meaningful projects. Our focus is education and coaching alongside practical experience to ensure your personal development. We value our employees, and you will be able to control your own development with an individual progression plan. You will quickly grow into a responsible role with challenging and stimulating assignments. Moreover, you will be part of an interdisciplinary environment that emphasizes high quality and knowledge exchange. Plus, we offer: Support, coaching and feedback from some of the most engaging colleagues around Opportunities to develop new skills and progress your career. The freedom and flexibility to handle your role in a way that’s right for you. EY | Building a better working world EY exists to build a better working world, helping to create long-term value for clients, people and society and build trust in the capital markets. Enabled by data and technology, diverse EY teams in over 150 countries provide trust through assurance and help clients grow, transform and operate. Working across assurance, consulting, law, strategy, tax and transactions, EY teams ask better questions to find new answers for the complex issues facing our world today.

About Kanerika Who we are: Kanerika Inc. is a premier global software products and services firm that specializes in providing innovative solutions and services for data-driven enterprises. Our focus is to empower businesses to achieve their digital transformation goals and maximize their business impact through the effective use of data and AI. We leverage cutting-edge technologies in data analytics, data governance, AI-ML, GenAI/ LLM and industry best practices to deliver custom solutions that help organizations optimize their operations, enhance customer experiences, and drive growth. Locations: We are located in Hyderabad, Indore and Ahmedabad (India). What You Will Do: As a Data Governance Lead at Kanerika, you will be responsible for defining, leading, and operationalizing the data governance framework, ensuring enterprise-wide alignment and regulatory compliance. Key Responsibilities: 1. Governance Strategy & Stakeholder Alignment - Develop and maintain enterprise data governance strategies, policies, and standards. - Align governance with business goals: compliance, analytics, and decision-making. - Collaborate across business, IT, legal, and compliance teams for role alignment. - Drive governance training, awareness, and change management programs. 2. Microsoft Purview Administration & Implementation - Manage Microsoft Purview accounts, collections, and RBAC aligned to org structure. - Optimize Purview setup for large-scale environments (50TB+). - Integrate with Azure Data Lake, Synapse, SQL DB, Power BI, Snowflake. - Schedule scans, set classification jobs, and maintain collection hierarchies. 3. Metadata & Lineage Management - Design metadata repositories and maintain business glossaries and data dictionaries. - Implement ingestion workflows via ADF, REST APIs, PowerShell, Azure Functions. - Ensure lineage mapping (ADF → Synapse → Power BI) and impact analysis. 4. Data Classification & Security Governance - Define classification rules and sensitivity labels (PII, PCI, PHI). - Integrate with MIP, DLP, Insider Risk Management, and Compliance Manager. - Enforce records management, lifecycle policies, and information barriers. 5. Data Quality & Policy Management - Define KPIs and dashboards to monitor data quality across domains. - Collaborate on rule design, remediation workflows, and exception handling. - Ensure policy compliance (GDPR, HIPAA, CCPA, etc.) and risk management. 6. Business Glossary & Stewardship - Maintain business glossary with domain owners and stewards in Purview. - Enforce approval workflows, standard naming, and steward responsibilities. - Conduct metadata audits for glossary and asset documentation quality. 7. Automation & Integration - Automate governance processes using PowerShell, Azure Functions, Logic Apps. - Create pipelines for ingestion, lineage, glossary updates, tagging. - Integrate with Power BI, Azure Monitor, Synapse Link, Collibra, BigID, etc. 8. Monitoring, Auditing & Compliance - Set up dashboards for audit logs, compliance reporting, metadata coverage. - Oversee data lifecycle management across its phases. - Support internal and external audit readiness with proper documentation. Tools & Technologies: - Microsoft Purview, Collibra, Atlan, Informatica Axon, IBM IG Catalog - Microsoft Purview capabilities: 1. Label creation & policy setup 2. Auto-labeling & DLP 3. Compliance Manager, Insider Risk, Records & Lifecycle Management 4. Unified Catalog, eDiscovery, Data Map, Audit, Compliance alerts, DSPM Required Qualifications: - 7+ years of experience in data governance and data management. - Proficient in Microsoft Purview and Informatica data governance tools. - Strong in metadata management, lineage mapping, classification, and security. - Experience with ADF, REST APIs, Talend, dbt, and automation via Azure tools. - Knowledge of GDPR, CCPA, HIPAA, SOX and related compliance needs. - Skilled in bridging technical governance with business and compliance goals.

Position: Data Governance Specialist(CDGC Lead) Location: Chennai Tamil Nadu (3 days/week)/Remote with Quarterly visit Duration: Full Time Relevant Experience : 5+ years Notice Period: Only Immediate Joiners/ Currently Serving Notice/ Notice is less than 45 days Budget: Open to discuss Responsibilities: Lead the implementation and configuration of Informatica Data Governance solutions, including Axon, EDC, and CDGC, to support our organization's data governance initiatives. Collaborate with cross-functional teams to define data governance policies, standards, and processes, ensuring alignment with business objectives and regulatory requirements. Design and implement metadata management strategies using Informatica Axon and EDC to ensure data quality, lineage, and compliance. Develop and maintain comprehensive data catalogs, including data dictionaries, glossaries, and data lineage diagrams, leveraging Informatica EDC and CDGC capabilities. Provide guidance and support to business users and data stewards on utilizing Informatica Axon for business glossary management, data governance workflows, and data quality monitoring. Configure and administer Informatica EDC and CDGC environments, including user access controls, metadata scanning configurations, and data lineage visualization. Collaborate with IT teams to integrate Informatica Data Governance solutions with existing data management platforms and tools. Stay informed about industry trends and best practices in data governance, metadata management, and data cataloging, and provide recommendations for continuous improvement. Experience on Data Integration tool such as Power Center/IICS and integration capabilities with Purview Knowledge on Data Profiling Qualifications: Bachelor's degree in Computer Science, Information Systems, or related field. 5+ years of experience in data management, with a focus on data governance, metadata management, and data cataloging. Proficiency in Informatica Axon, Enterprise Data Catalog (EDC), and Cloud Data Governance and Catalog (CDGC) solutions. Strong understanding of data governance principles, metadata management concepts, and data cataloging best practices. Experience in leading data governance initiatives and collaborating with stakeholders to define and implement data governance policies and standards. Excellent communication and interpersonal skills, with the ability to effectively convey technical concepts to non-technical stakeholders. Demonstrated ability to work independently and as part of a team in a fast-paced, dynamic environment. Informatica certification(s) in Axon, EDC, or CDGC is highly desirable. Strong understanding on Azure/AWS Experience in Data Integration Experience on any other data governance tool such as Collibra, Alation, Purview, Atlan, IBM IGC/WKC is desirable

About Kanerika Who we are: Kanerika Inc. is a premier global software products and services firm that specializes in providing innovative solutions and services for data-driven enterprises. Our focus is to empower businesses to achieve their digital transformation goals and maximize their business impact through the effective use of data and AI. We leverage cutting-edge technologies in data analytics, data governance, AI-ML, GenAI/ LLM and industry best practices to deliver custom solutions that help organizations optimize their operations, enhance customer experiences, and drive growth. Locations: We are located in Hyderabad, Indore and Ahmedabad (India). What You Will Do: As a Data Governance Architect at Kanerika, you will play a pivotal role in shaping and executing the enterprise data governance strategy. Your responsibilities include: 1. Strategy, Framework, and Governance Operating Model - Develop and maintain enterprise-wide data governance strategies, standards, and policies. - Align governance practices with business goals like regulatory compliance and analytics readiness. - Define roles and responsibilities within the governance operating model. - Drive governance maturity assessments and lead change management initiatives. 2. Stakeholder Alignment & Organizational Enablement - Collaborate across IT, legal, business, and compliance teams to align governance priorities. - Define stewardship models and create enablement, training, and communication programs. - Conduct onboarding sessions and workshops to promote governance awareness. 3. Architecture Design for Data Governance Platforms - Design scalable and modular data governance architecture. - Evaluate tools like Microsoft Purview, Collibra, Alation, BigID, Informatica. - Ensure integration with metadata, privacy, quality, and policy systems. 4. Microsoft Purview Solution Architecture - Lead end-to-end implementation and management of Microsoft Purview. - Configure RBAC, collections, metadata scanning, business glossary, and classification rules. - Implement sensitivity labels, insider risk controls, retention, data map, and audit dashboards. 5. Metadata, Lineage & Glossary Management - Architect metadata repositories and ingestion workflows. - Ensure end-to-end lineage (ADF → Synapse → Power BI). - Define governance over business glossary and approval workflows. 6. Data Classification, Access & Policy Management - Define and enforce rules for data classification, access, retention, and sharing. - Align with GDPR, HIPAA, CCPA, SOX regulations. - Use Microsoft Purview and MIP for policy enforcement automation. 7. Data Quality Governance - Define KPIs, validation rules, and remediation workflows for enterprise data quality. - Design scalable quality frameworks integrated into data pipelines. 8. Compliance, Risk, and Audit Oversight - Identify risks and define standards for compliance reporting and audits. - Configure usage analytics, alerts, and dashboards for policy enforcement. 9. Automation & Integration - Automate governance processes using PowerShell, Azure Functions, Logic Apps, REST APIs. - Integrate governance tools with Azure Monitor, Synapse Link, Power BI, and third-party platforms. Required Qualifications: - 15+ years in data governance and management. - Expertise in Microsoft Purview, Informatica, and related platforms. - Experience leading end-to-end governance initiatives. - Strong understanding of metadata, lineage, policy management, and compliance regulations. - Hands-on skills in Azure Data Factory, REST APIs, PowerShell, and governance architecture. - Familiar with Agile methodologies and stakeholder

Key Responsibilities: Understand all of our data definitions and nuances (e.g., attribution window) Maintain and update glossary; Advise various internal stakeholders Consult data visualization team and analysts on what data to use for new reports and analyses Recommend development or enhancement of datasets for reporting and analyses questions Develop and implement data governance policies and procedures to ensure data quality, availability, and integrity. Work closely with data stewards, data owners, and other stakeholders to define and enforce data governance standards. Monitor and evaluate data governance processes to ensure compliance with industry best practices Design, develop, and maintain scalable and efficient data pipelines and ETL processes. Integrate data from various sources into centralized data platforms (e.g., data lakes, data warehouses). Optimize data workflows for performance, reliability, and scalability. Collaborate with data scientists, analysts, and business teams to support data needs. Ensure data quality, consistency, lineage, and metadata management. Maintain data catalogs and support data stewardship initiatives. Conduct audits and assessments to identify and mitigate data risks. Required Skills & Qualifications: Bachelors or Master’s degree in computer science, Information Systems, or a related field. 4-6 years of experience in data governance, data management, or a related field. Proven experience in data engineering and data governance roles. Proficiency in SQL, Python, and ETL tools. Experience with cloud data platforms. Familiarity with data governance tools. Strong understanding of data modeling, data warehousing, and data architecture. Strong understanding of data governance frameworks, principles, and best practices. Experience with data quality management, metadata management, and data lineage practices. Familiarity with data governance tools and technologies (e.g., Collibra, Informatica, Alation). Excellent analytical, problem-solving, and decision-making skills. Strong communication and interpersonal skills, with the ability to work effectively with cross-functional teams. Ability to manage multiple projects and priorities in a fast-paced environment.

At EY, you’ll have the chance to build a career as unique as you are, with the global scale, support, inclusive culture and technology to become the best version of you. And we’re counting on your unique voice and perspective to help EY become even better, too. Join us and build an exceptional experience for yourself, and a better working world for all. Job Title: Informatica MDM Specialist-Senior Job Summary: We are looking for a skilled Informatica MDM Specialist . The candidate will have hands-on experience implementing and maintaining Master Data Management solutions using Informatica MDM (Customer 360, Supplier 360, Product 360 and MDM Hub) . This role involves architecting and developing MDM solutions, managing data quality, and ensuring data governance practices across the enterprise. Key Responsibilities: Design, develop, and implement end-to-end MDM solutions using Informatica MDM platform. Configure Data Models, Match & Merge rules, Hierarchies, Trust Framework, and workflows. Collaborate with business stakeholders, data architects, and developers to gather and analyse requirements. Perform data profiling, cleansing, standardization, and validation for master data domains. Implement data governance and stewardship workflows for maintaining data quality. Monitor MDM performance, manage error handling and system tuning. Prepare and maintain technical documentation, deployment guides, and support materials. Provide technical support and troubleshooting during and post-deployment. Stay up to date with Informatica MDM product updates, industry trends, and best practices. Required Qualifications: 3-7 years of experience in Informatica MDM development and implementation. Strong understanding of MDM architecture, data modelling, and metadata management. Hands-on experience with Informatica MDM Hub, e360, IDD, SIF, MDM Provisioning Tool, and ETL/ELT. Experience with data quality tools (Informatica DQ or others) and MDM integration patterns. Understanding of data governance principles and master data domains (customer, product, vendor, etc.). Strong analytical and problem-solving skills. Excellent communication and stakeholder engagement skills. Preferred Qualifications: Informatica MDM certification(s). Experience with IDMC MDM – MDM SaaS Familiarity with data governance platforms (e.g., Collibra, Informatica Axon). Exposure to Agile/Scrum delivery methodologies. Experience in large-scale MDM implementations in domains like Retail, Manufacturing, Healthcare, or BFSI. EY | Building a better working world EY exists to build a better working world, helping to create long-term value for clients, people and society and build trust in the capital markets. Enabled by data and technology, diverse EY teams in over 150 countries provide trust through assurance and help clients grow, transform and operate. Working across assurance, consulting, law, strategy, tax and transactions, EY teams ask better questions to find new answers for the complex issues facing our world today.

At EY, you’ll have the chance to build a career as unique as you are, with the global scale, support, inclusive culture and technology to become the best version of you. And we’re counting on your unique voice and perspective to help EY become even better, too. Join us and build an exceptional experience for yourself, and a better working world for all. Job Title: Informatica MDM Specialist-Senior Job Summary: We are looking for a skilled Informatica MDM Specialist . The candidate will have hands-on experience implementing and maintaining Master Data Management solutions using Informatica MDM (Customer 360, Supplier 360, Product 360 and MDM Hub) . This role involves architecting and developing MDM solutions, managing data quality, and ensuring data governance practices across the enterprise. Key Responsibilities: Design, develop, and implement end-to-end MDM solutions using Informatica MDM platform. Configure Data Models, Match & Merge rules, Hierarchies, Trust Framework, and workflows. Collaborate with business stakeholders, data architects, and developers to gather and analyse requirements. Perform data profiling, cleansing, standardization, and validation for master data domains. Implement data governance and stewardship workflows for maintaining data quality. Monitor MDM performance, manage error handling and system tuning. Prepare and maintain technical documentation, deployment guides, and support materials. Provide technical support and troubleshooting during and post-deployment. Stay up to date with Informatica MDM product updates, industry trends, and best practices. Required Qualifications: 3-7 years of experience in Informatica MDM development and implementation. Strong understanding of MDM architecture, data modelling, and metadata management. Hands-on experience with Informatica MDM Hub, e360, IDD, SIF, MDM Provisioning Tool, and ETL/ELT. Experience with data quality tools (Informatica DQ or others) and MDM integration patterns. Understanding of data governance principles and master data domains (customer, product, vendor, etc.). Strong analytical and problem-solving skills. Excellent communication and stakeholder engagement skills. Preferred Qualifications: Informatica MDM certification(s). Experience with IDMC MDM – MDM SaaS Familiarity with data governance platforms (e.g., Collibra, Informatica Axon). Exposure to Agile/Scrum delivery methodologies. Experience in large-scale MDM implementations in domains like Retail, Manufacturing, Healthcare, or BFSI. EY | Building a better working world EY exists to build a better working world, helping to create long-term value for clients, people and society and build trust in the capital markets. Enabled by data and technology, diverse EY teams in over 150 countries provide trust through assurance and help clients grow, transform and operate. Working across assurance, consulting, law, strategy, tax and transactions, EY teams ask better questions to find new answers for the complex issues facing our world today.

Role Overview As a Senior Data Solutions Architect in the Business Analytics, Automation & AI team, you will be responsible for architecting and delivering comprehensive, end-to-end data solutions across cloud and on-premises platforms in Business Intelligence and Artificial Intelligence domains. Your focus will include leading strategic data migration automation initiatives that optimize and automate the transfer of ERP, CRM, and other enterprise data to modern data platforms, ensuring data cleansing and high-quality, reliable datasets. This hands-on role also involves establishing and managing a small, high-performing team of data engineers and analysts that thrives on streamlined processes and rapid innovation. Leveraging an IT consulting mindset, experience with global enterprises and complex data ecosystems, you will inspire and nurture technical talent, driving a culture of continuous learning and development. As a leader, you will foster ambition and accountability through goal-oriented frameworks and actively contribute to transformative organizational initiatives that push beyond business as usual, pioneering digitization and data-driven transformation within the company. Key Responsibilities Architect and deliver end-to-end data solutions across cloud and on-premises platforms, including AWS, Azure, Informatica, etc. Lead strategic data migration automation initiatives, optimizing and automating the movement of ERP, CRM, and other enterprise data to modern data platforms. Drive business intelligence transformation, ensuring robust data models, efficient ETL pipelines, and scalable analytics architectures for Enterprise BI needs. Build and manage AI data architectures that support AI workflows, including handling unstructured and semi-structured data, real-time data streams, and large-scale datasets for model training and inference. Implement advanced data preprocessing steps such as data cleaning, normalization, encoding categorical variables, feature engineering, and data enrichment to prepare data optimally for AI models. Manage and mentor a team of 10 data engineers and analysts, fostering skill development in BI and AI data technologies. Collaborate with business/function stakeholders to align data architecture with business goals, ensuring solutions meet both technical and operational requirements. Establish and enforce data governance, data quality, and data security frameworks, using tools like Collibra or similar. Participate in strategic project engagements, leveraging consulting expertise to define and propose best-fit solutions. Ensure compliance with regulatory and security standards, implementing access controls, encryption, and audit mechanisms. Required Skills & Qualifications Technical Expertise: Deep hands-on experience with Informatica, AWS ( including S3, Redshift )/Azure, Databricks, and Big Data platforms. Strong proficiency in Python, SQL, and NoSQL for building scalable ETL/data pipelines and managing structured/unstructured data. Experience with data governance tools (e.g., Collibra), data modeling, and data warehouse design. Knowledge of Tableau/PowerBI/Alteryx is a must. Knowledge of ERP, CRM data structures, and integration patterns. Familiarity with AI/ML frameworks like TensorFlow, PyTorch, and LLM orchestration tools (e.g., LangChain, LlamaIndex ) to support AI model workflows. Proven skills in building modular, scalable, and automated ETL/AI pipelines with robust data quality and security controls. Certifications: Certified Solutions Architect from AWS/Microsoft (Azure)/Google Cloud. Additional certifications in Databricks, or Informatica are a plus. Consulting Experience: Proven track record in an IT consulting environment, engaging with large enterprises and MNCs in strategic data solutioning projects. Strong stakeholder management, business needs assessment, and change management skills. Leadership & Soft Skills: Experience managing and mentoring small teams, developing technical skills in BI and AI data domains. Ability to influence and align cross-functional teams and stakeholders. Excellent communication, documentation, and presentation skills. Strong problem-solving, analytical thinking, and strategic vision. Preferred Experience Leading large-scale data migration and transformation programs for ERP/CRM systems. Implementing data governance and security policies across multi-cloud environments. Working with global clients in regulated industries. Driving adoption of modern data platforms and BI/AI/automation solutions in enterprise settings. Certifications AWS Certified Solutions Architect – Professional/ Microsoft Certified: Azure Solutions Architect Expert AWS Certified Data Engineer – Professional/Databricks Certified Data Engineer Professional Educational Qualifications: Master’s/bachelor’s degree in engineering or Master of Computer Applications is required. A Masters in Business Administration (MBA) is a plus. Primary Location : IN-Karnataka-Bangalore Schedule : Full-time Unposting Date : Ongoing

Job Title : Data Warehouse Administrator Job Summary We are seeking an experienced Data Warehouse Administrator with strong expertise in Snowflake to manage, monitor, and optimize our enterprise data warehousing environment. The ideal candidate will be responsible for implementing and maintaining secure, scalable, and high-performance Snowflake solutions while ensuring data availability and reliability. Key Responsibilities Snowflake Administration : Manage Snowflake accounts, warehouses, databases, roles, and users. Monitor performance, resource usage, and optimize warehouse configurations. Handle data replication, failover, and disaster recovery setup. Data Management & Security Implement security best practices : RBAC, masking, encryption. Support data governance and compliance requirements (e.g., GDPR, HIPAA). ETL/ELT & Data Integration Support Work closely with data engineers to support data pipelines and transformations. Manage integrations between Snowflake and tools like DBT, Fivetran, Airflow, etc. Monitoring & Troubleshooting Proactively identify performance bottlenecks and resolve issues. Implement alerts, usage monitoring, and cost tracking in Snowflake. Upgrades & Maintenance Stay current with Snowflake updates and implement new features. Schedule and manage routine maintenance, backups, and data archiving. Documentation & Support Create and maintain system documentation, runbooks, and best practices. Provide L2/L3 support for data warehouse-related issues. Required Skills & Qualifications Bachelor's degree in Computer Science, Information Systems, or related field. 3-5+ years of experience with data warehouse administration. 2+ years of hands-on experience with Snowflake. Proficiency in SQL, scripting (Python or Bash), and version control (Git). Experience with cloud platforms (AWS, Azure, or GCP). Familiarity with data modeling, ELT frameworks, and CI/CD practices. Preferred Qualifications Snowflake certifications (e.g., SnowPro Core/Advanced). Experience with tools like DBT, Airflow, Fivetran, or Matillion. Exposure to data cataloging, data governance tools (e.g., Collibra, Alation). Soft Skills Strong problem-solving and analytical skills. Effective communication with technical and non-technical teams. Ability to work independently and in a team-oriented environment. (ref:hirist.tech)

Company Profile Since year 2003, Oceaneering’s India Center has been an integral part of operations for Oceaneering’s robust product and service offerings across the globe. This center caters to diverse business needs, from oil and gas field infrastructure, subsea robotics to automated material handling & logistics. Our multidisciplinary team offers a wide spectrum of solutions, encompassing Subsea Engineering, Robotics, Automation, Control Systems, Software Development, Asset Integrity Management, Inspection, ROV operations, Field Network Management, Graphics Design & Animation, and more. In addition to these technical functions, Oceaneering India Center plays host to several crucial business functions, including Finance, Supply Chain Management (SCM), Information Technology (IT), Human Resources (HR), and Health, Safety & Environment (HSE). Our world class infrastructure in India includes modern offices, industry-leading tools and software, equipped labs, and beautiful campuses aligned with the future way of work. Oceaneering in India as well as globally has a great work culture that is flexible, transparent, and collaborative with great team synergy. At Oceaneering India Center, we take pride in “Solving the Unsolvable” by leveraging the diverse expertise within our team. Join us in shaping the future of technology and engineering solutions on a global scale. Position Summary Responsible for identifying data quality issues, analyzing data sets, and working with various teams to improve data quality across the organization. Duties And Responsibilities Perform data profiling and analysis to assess the quality of data across different systems and sources. Identify and report data quality issues, including missing, duplicate, or inconsistent data, and recommend corrective actions. Monitor data quality KPIs (e.g., completeness, accuracy, timeliness, consistency) and track improvements over time. Implement data quality checks and validation rules to ensure that data meets the organization’s standards. Collaborate with data stewards, business analysts, and other teams to perform data cleansing activities, including data correction, enrichment, and de-duplication. Support the development and implementation of data standardization practices across the organization to ensure consistency in data entry and processing. Conduct root cause analysis of data quality issues and work closely with technical teams to identify and resolve the underlying problems. Track recurring data quality issues and develop long-term strategies to prevent them from reoccurring. Work with data governance and infrastructure teams to implement automated processes to improve data quality. Support data governance initiatives by helping define and enforce data quality standards, policies, and procedures. Document data quality processes and contribute to data governance documentation, including data dictionaries and metadata management. Collaborate with data engineering, data management, business intelligence, and IT teams to implement data quality best practices. Work with business units to understand their data needs and ensure data quality processes align with business objectives. Qualifications Bachelor’s degree in data management, Information Systems, Computer Science, Statistics, or a related field. Certification in Data Quality, Data Governance, or a similar area is a plus. Experience : 2+ years of experience in data quality analysis, data management, or data governance. Experience with data profiling, cleansing, and validation tools (e.g., Informatica Data Quality, Talend, Microsoft Purview, Trillium). Strong proficiency in SQL for querying and analyzing large datasets. Knowledge, Skills, Abilities, And Other Characteristics Strong understanding of data quality dimensions (accuracy, completeness, consistency, uniqueness, and timeliness). Experience with data profiling and analysis techniques to identify data anomalies and issues. Ability to perform data validation, root cause analysis, and data cleansing tasks. Proficiency in data visualization and reporting tools like Tableau, Power BI, or Excel. Strong analytical skills with the ability to problem-solve and make data-driven recommendations. Excellent attention to detail and ability to handle complex data sets. Preferred Qualifications: Experience with data governance tools or data catalog systems (e.g., Collibra, Alation). Familiarity with cloud-based data platforms (e.g., AWS, Azure, Google Cloud). Knowledge of data privacy and compliance regulations (GDPR, CCPA) and how they impact data quality practices. How To Apply Oceaneering’s policy is to provide equal employment opportunity to all applicants. How To Apply Regular full-time employees who apply will be considered along with external candidates. Employees with less than six months with their current position are not eligible to apply for job postings. Please discuss your interest in the position with your current manager/supervisor prior to submitting your completed application. It is highly recommended to apply through the PeopleSoft or Oceanet portals. How To Apply In addition, we make a priority of providing learning and development opportunities to enable employees to achieve their potential and take charge of their future. As well as developing employees in a specific role, we are committed to lifelong learning and ongoing education, including developing people skills and identifying future supervisors and managers. Every month, hundreds of employees are provided training, including HSE awareness, apprenticeships, entry and advanced level technical courses, management development seminars, and leadership and supervisory training. We have a strong ethos of internal promotion. We can offer long-term employment and career advancement across countries and continents. Working at Oceaneering means that if you have the ability, drive, and ambition to take charge of your future-you will be supported to do so and the possibilities are endless.

Job Title: Senior Data Analyst - Data Governance About Us “Capco, a Wipro company, is a global technology and management consulting firm. Awarded with Consultancy of the year in the British Bank Award and has been ranked Top 100 Best Companies for Women in India 2022 by Avtar & Seramount . With our presence across 32 cities across globe, we support 100+ clients across banking, financial and Energy sectors. We are recognized for our deep transformation execution and delivery. WHY JOIN CAPCO? You will work on engaging projects with the largest international and local banks, insurance companies, payment service providers and other key players in the industry. The projects that will transform the financial services industry. MAKE AN IMPACT Innovative thinking, delivery excellence and thought leadership to help our clients transform their business. Together with our clients and industry partners, we deliver disruptive work that is changing energy and financial services. #BEYOURSELFATWORK Capco has a tolerant, open culture that values diversity, inclusivity, and creativity. CAREER ADVANCEMENT With no forced hierarchy at Capco, everyone has the opportunity to grow as we grow, taking their career into their own hands. DIVERSITY & INCLUSION We believe that diversity of people and perspective gives us a competitive advantage. Job Description: Mandate Skills : Data Analysis + Data Governance, Collibra, Python Location : Bangalore, Pune, Chennai, Hyderabad Notice: immediate to 30 Days Level: M3/M4 (7+ Years) Job Description Design, document and advise on implementing Data Discovery and Data Control Fix for a premier global bank in the wealth and personal banking segment extensively using Collibra Responsible for updating and maintaining process metadata along with critical data elements, preferred business glossary and respective technical metadata for critical global services from various regions in the DG Understand functions of various enterprise information management applications, map the data lineage of data elements along with the flow-types and consumption status Work with data quality team and establish proactive data quality controls by implementing a strong and scalable governance process Create and promote the use of common data assets, such as business glossaries, reference data, data inventories, data models and data catalogs within the organization thereby improving awareness about Data Governance Monitor adherence to data policies and standards, governing potential policy deviations and escalating where necessary Establish data quality standards, procedures and protocols to ensure the accuracy, completeness, and consistency of data across the organization Assist in the implementation of data classification processes to protect sensitive information appropriately

You Lead the Way. We’ve Got Your Back, At American Express, we know that with the right backing, people and businesses have the power to progress in incredible ways. Whether we’re supporting our customers’ financial confidence to move ahead, taking commerce to new heights, or encouraging people to explore the world, our colleagues are constantly redefining what’s possible - and we’re proud to back each other every step of the way. When you join #TeamAmex, you become part of a diverse community of over 70,000 colleagues, all with a common goal to deliver an exceptional customer experience every day. Enterprise Data Management & Products (EDMP), a key part of our Technology organization, focuses on delivering data products that fuel business growth and unlock value, while also shaping robust data management strategies and governance solutions. Our aim is to propel growth, unlock potential, enhance efficiency, manage risk, and foster talent. By prioritizing enterprise growth across all sectors, we create solutions that enhance satisfaction and value, streamline operations for scalability, and maintain trust and security. The Analyst, Enterprise Data Office India Data Activation role will support the activation of Critical data elements (as outlined in AEMP 70 Policy) across business units at American Express. This role will also provide support in training, communications, and change management related to data governance across the enterprise. The Analyst will be responsible for: 0-3 years of Power App Experience must Data Governance Ownership: Lead the development, implementation, and maintenance of data governance frameworks, policies, and procedures to ensure data integrity, quality, and compliance across the organization. Project Management: Manage data governance projects from inception to completion, including planning, execution, monitoring, and reporting, ensuring alignment with organizational goals and timelines. Risk Data Expertise: Serve as the subject matter expert on risk data management, identifying potential data risks, and implementing mitigation strategies to safeguard the organization's data assets. Collaboration and Communication: Work closely with data stewards, custodians, and various stakeholders to promote data governance awareness, provide training, and ensure adherence to established data management practices. Data Quality Monitoring: Establish and monitor data quality metrics, facilitating the resolution of data quality issues, and implementing continuous improvement initiatives. Regulatory Compliance: Ensure that data governance practices comply with relevant regulations and standards, staying abreast of changes in data protection laws and industry best practices. Tool Implementation: Collaborate with IT teams to implement and manage data governance tools and technologies, such as Collibra, to support data governance activities. Mandatory Skills Required: Expertise in Collibra. Project management skills. Good understanding of Lumi platform. Exposure to RCSA (Risk Control Self-Assessment). Power App Developer Experience. Required Qualifications: Educational Background: Bachelor’s degree in Information Management, Computer Science, Business Administration, or a related field. A Master’s degree is a plus. Experience: Minimum of 0-3 years of experience in data governance, data management, or related roles, preferably within the financial services industry. Project Management Skills: Proven ability to manage multiple projects simultaneously, with strong organizational and time-management skills. Project Management Professional (PMP) certification is desirable. Data Governance Expertise: In-depth understanding of data governance principles, including metadata management, data lineage, data quality, and data stewardship. Familiarity with the Data Management Body of Knowledge (DMBOK) is advantageous. Risk Management Knowledge: Strong knowledge of risk data management practices, including identifying, assessing, and mitigating data-related risks. Technical Proficiency: Experience with data governance tools (e.g., Collibra) and data visualization tools (e.g., Tableau, Power BI). Proficiency in SQL and familiarity with database structures are beneficial. Communication Skills: Excellent verbal and written communication skills, with the ability to convey complex data concepts to non-technical stakeholders and influence across all levels of the organization. Analytical Skills: Strong analytical and problem-solving abilities, with a keen attention to detail. Adaptability: Ability to work independently and take initiative with minimal supervision, demonstrating flexibility and resilience in a dynamic environment. Preferred Qualifications: Certifications: Certified Data Management Professional (CDMP) or equivalent certification. Technical Skills: Experience with data integration tools and familiarity with cloud platforms (e.g., AWS, Lumi, Cornerstone). Industry Knowledge: Understanding of the financial services industry's regulatory environment and data-related compliance requirements. We back you with benefits that support your holistic well-being so you can be and deliver your best. This means caring for you and your loved ones' physical, financial, and mental health, as well as providing the flexibility you need to thrive personally and professionally: 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.