866 Collibra Jobs - Page 15

Introduction In this role, you'll work in one of our IBM Consulting Client Innovation Centers (Delivery Centers), where we deliver deep technical and industry expertise to a wide range of public and private sector clients around the world. Our delivery centers offer our clients locally based skills and technical expertise to drive innovation and adoption of new technology. Your Role And Responsibilities Create Solution Outline and Macro Design to describe end to end product implementation in Data Platforms including, System integration, Data ingestion, Data processing, Serving layer, Design Patterns, Platform Architecture Principles for Data platform Contribute to pre-sales, sales support through RfP responses, Solution Architecture, Planning and Estimation Contribute to reusable components / asset / accelerator development to support capability development Participate in Customer presentations as Platform Architects / Subject Matter Experts on Big Data, Azure Cloud and related technologies Participate in customer PoCs to deliver the outcomes Participate in delivery reviews / product reviews, quality assurance and work as design authority Preferred Education Master's Degree Required Technical And Professional Expertise Experience in designing of data products providing descriptive, prescriptive, and predictive analytics to end users or other systems Experience in data engineering and architecting data platforms Experience in architecting and implementing Data Platforms Azure Cloud Platform Experience on Azure cloud is mandatory (ADLS Gen 1 / Gen2, Data Factory, Databricks, Synapse Analytics, Azure SQL, Cosmos DB, Event hub, Snowflake), Azure Purview, Microsoft Fabric, Kubernetes, Terraform, Airflow Experience in Big Data stack (Hadoop ecosystem Hive, HBase, Kafka, Spark, Scala PySpark, Python etc.) with Cloudera or Hortonworks Preferred Technical And Professional Experience Experience in architecting complex data platforms on Azure Cloud Platform and On-Prem Experience and exposure to implementation of Data Fabric and Data Mesh concepts and solutions like Microsoft Fabric or Starburst or Denodo or IBM Data Virtualisation or Talend or Tibco Data Fabric Exposure to Data Cataloging and Governance solutions like Collibra, Alation, Watson Knowledge Catalog, dataBricks unity Catalog, Apache Atlas, Snowflake Data Glossary etc

Position Overview Job Title: Data Analyst, GSA Data Divisional Office – GCOO Corporate Title: AVP Location: Mumbai, India Role Description Group Strategic Analytics is part of Group Chief Operation Office (COO) which acts as the bridge between the Bank’s businesses and infrastructure functions to help deliver the efficiency, control, and transformation goals of the Bank. As a member of the GCOO Divisional Data Office (GCOO DDO) in Group Strategic Analytics (GSA), you will be part of the team responsible for driving implementation and compliance with data principles, policies and standards covering data management and all data lifecycle disciplines (records management, archiving, data disposal, data quality & data lineage & ownership) for the COO division. This is an exciting opportunity to collaborate with various groups who actively originate and consume data, including business lines, infrastructure functions and large-scale change programmes. As part of your role, you will gain a thorough understanding of how data is an integral component of our business, with oversight of data assets, the enterprise data management lifecycle and upholding expected standards to maintain global Regulatory compliance. Deutsche Bank is investing heavily in optimizing our business processes and regulatory outcomes by using data in the best ways possible, and you will be directly shaping the strategy to do so. What We’ll Offer You As part of our flexible scheme, here are just some of the benefits that you’ll enjoy, Best in class leave policy. Gender neutral parental leaves 100% reimbursement under childcare assistance benefit (gender neutral) Sponsorship for Industry relevant certifications and education Employee Assistance Program for you and your family members Comprehensive Hospitalization Insurance for you and your dependents Accident and Term life Insurance Complementary Health screening for 35 yrs. and above Your Key Responsibilities Coordination across GCOO to ensure compliance with Data & Records management policies Identification and oversee delivery of relevant data priorities in partnership with Divisional & Regional Stakeholders. Monitor data management related regulatory changes and gap analysis to DB processes. Drive implementation of Data Quality Control Framework to ensure completeness / accuracy / timeliness for the COO critical & mandated scope Data, ensure compliance with Strategic Data KPIs Identify most critical and strategic Data to be brought under governance and facilitate right sourcing via strategic platforms In context of the Information Security Policy, ensure compliance and MI for relevant applications. Your Skills And Experience 5+ years of experience in Banking 5+ years experience with data management (e.g. records management, archiving, data disposal, data quality & data lineage) Data analysis: ability to investigate and present details of lineage, completeness, and transformations performed upon data via flows and processes Ideally experience in the usage of Industry standard data management tools such as Collibra and Solidatus Excellent organizational skills and a high attention to detail with the ability to work under pressure and to deliver to tight deadlines. Excellent interpersonal skills with demonstrable ability to engage and influence senior stakeholders. Strong communication skills, both written and verbal, ability to explain complex problem in a clear and structure way. How We’ll Support You Training and development to help you excel in your career. Coaching and support from experts in your team. A culture of continuous learning to aid progression. A range of flexible benefits that you can tailor to suit your needs. About Us And Our Teams Please visit our company website for further information: https://www.db.com/company/company.htm We strive for a culture in which we are empowered to excel together every day. This includes acting responsibly, thinking commercially, taking initiative and working collaboratively. Together we share and celebrate the successes of our people. Together we are Deutsche Bank Group. We welcome applications from all people and promote a positive, fair and inclusive work environment.

Position Overview Job Title: Data Analyst, GSA Data Divisional Office – GCOO Corporate Title: AVP Location: Mumbai, India Role Description Group Strategic Analytics is part of Group Chief Operation Office (COO) which acts as the bridge between the Bank’s businesses and infrastructure functions to help deliver the efficiency, control, and transformation goals of the Bank. As a member of the GCOO Divisional Data Office (GCOO DDO) in Group Strategic Analytics (GSA), you will be part of the team responsible for driving implementation and compliance with data principles, policies and standards covering data management and all data lifecycle disciplines (records management, archiving, data disposal, data quality & data lineage & ownership) for the COO division. This is an exciting opportunity to collaborate with various groups who actively originate and consume data, including business lines, infrastructure functions and large-scale change programmes. As part of your role, you will gain a thorough understanding of how data is an integral component of our business, with oversight of data assets, the enterprise data management lifecycle and upholding expected standards to maintain global Regulatory compliance. Deutsche Bank is investing heavily in optimizing our business processes and regulatory outcomes by using data in the best ways possible, and you will be directly shaping the strategy to do so. What We’ll Offer You As part of our flexible scheme, here are just some of the benefits that you’ll enjoy, Best in class leave policy. Gender neutral parental leaves 100% reimbursement under childcare assistance benefit (gender neutral) Sponsorship for Industry relevant certifications and education Employee Assistance Program for you and your family members Comprehensive Hospitalization Insurance for you and your dependents Accident and Term life Insurance Complementary Health screening for 35 yrs. and above Your Key Responsibilities Coordination across GCOO to ensure compliance with Data & Records management policies Identification and oversee delivery of relevant data priorities in partnership with Divisional & Regional Stakeholders. Monitor data management related regulatory changes and gap analysis to DB processes. Drive implementation of Data Quality Control Framework to ensure completeness / accuracy / timeliness for the COO critical & mandated scope Data, ensure compliance with Strategic Data KPIs Identify most critical and strategic Data to be brought under governance and facilitate right sourcing via strategic platforms In context of the Information Security Policy, ensure compliance and MI for relevant applications. Your Skills And Experience 5+ years of experience in Banking 5+ years’ experience with data management (e.g. records management, archiving, data disposal, data quality & data lineage) Data analysis: ability to investigate and present details of lineage, completeness, and transformations performed upon data via flows and processes Ideally experience in the usage of Industry standard data management tools such as Collibra and Solidatus Excellent organizational skills and a high attention to detail with the ability to work under pressure and to deliver to tight deadlines. Excellent interpersonal skills with demonstrable ability to engage and influence senior stakeholders. Strong communication skills, both written and verbal, ability to explain complex problem in a clear and structure way. How We’ll Support You Training and development to help you excel in your career. Coaching and support from experts in your team. A culture of continuous learning to aid progression. A range of flexible benefits that you can tailor to suit your needs. About Us And Our Teams Please visit our company website for further information: https://www.db.com/company/company.htm We strive for a culture in which we are empowered to excel together every day. This includes acting responsibly, thinking commercially, taking initiative and working collaboratively. Together we share and celebrate the successes of our people. Together we are Deutsche Bank Group. We welcome applications from all people and promote a positive, fair and inclusive work environment.

Company Description Entain India is the engineering and delivery powerhouse for Entain, one of the world’s leading global sports and gaming groups. Established in Hyderabad in 2001, we’ve grown from a small tech hub into a dynamic force, delivering cutting-edge software solutions and support services that power billions of transactions for millions of users worldwide. Our focus on quality at scale drives us to create innovative technology that supports Entain’s mission to lead the change in global sports and gaming sector. At Entain India, we make the impossible possible, together. Job Description As a Data Governance Analyst you will be responsible in supporting and execution of the Data Trust & Integrity Use Case program within our organisation. Reporting to the Data Governance Manager, you will work with our internal partners to understand our data issues, help negotiate organisation wide data definitions, and identify opportunities for improved data governance and quality monitoring across the organisation. The successful candidate will join a small high-performance team who are tasked with championing and showcasing the benefits of data governance and quality, helping to deliver a broad portfolio of use cases that deliver tangible and meaningful benefits to the organisation. Working from a business benefits prioritized pipeline, you will be confident supporting the discovery and definition for individual use cases, with support from the wider team for the technical execution of recommendations and monitoring. Identification and Definition of Critical Data Elements (CDEs): Assisting in identifying and defining CDEs across the organisation. Working with business and technical stakeholders to ensure CDEs are well-documented and understood. Verification of Data Lineage: Supporting in verifying data lineage to ensure data traceability from source to destination. Recommendation of authorised sources for data elements based on lineage verification. Defining Data Quality Business Rules: Collaboration with business users to define and document data quality business rules. Ensuring that data quality rules align with business requirements and regulatory standards. Identification of Data Owners and Data Stewards: Assisting in identifying potential data owners and data stewards within the organisation. Facilitating communications and collaboration between data owners, stewards, and governance teams. Collaboration with Technical Teams: Working closely with technical teams to deliver data quality reporting and alerting solutions. Assisting in the development and implementation of automated data quality checks. Identification of KPIs for Data Improvement: Identifying Key Performance Indicators (KPIs) to track the progress of data quality and governance initiatives. Monitoring and reporting on data improvement KPIs to stakeholders. Recommendation of Data Governance Controls: Recommending appropriate data governance controls to ensure data integrity, security, and compliance. Supporting the implementation and monitoring of data governance controls. Qualifications Experience working within a team that has implemented data governance and quality initiatives in diverse data environments. Proven experience in data cleansing and enrichment to address data quality issues. Demonstrated ability to deliver data profiling and data quality reporting. Working knowledge of data quality and profiling tools such as SǪL, Ataccama, Informatica, and Monte Carlo. Hands-on experience with data visualization tools for creating dashboards and reports, like Power BI and Tableau. Familiarity with data management tools and frameworks, including Precisely, Microsoft Purview, Collibra, Informatica Data Governance, and DCAM. Strong understanding of data governance and quality principles, practices, and methodologies. Insight into data governance and quality policies, frameworks, processes, and controls. Knowledge of Master Data Management (MDM) and Reference Data Management (RDM) principles, practices, and methodologies. Experience in managing both business and technical stakeholders effectively. Desired: Bachelor's degree in computer science, information systems, data management, or a related field Professional certification in data governance or related fields is a plus. Experience in a complex, global, scale B2C on-line and retail business/es Experience with data quality automation and/or AI tools to streamline data quality processes Additional Information We know that signing top players requires a great starting package, and plenty of support to inspire peak performance. Join us, and a competitive salary is just the beginning. Working for us in Hyderabad, you can expect to receive great benefits like: Safe home pickup and home drop (Hyderabad Office Only) Group Mediclaim policy Group Critical Illness policy Communication & Relocation allowance Annual Health check And outside of this, you’ll have the chance to turn recognition from leaders and colleagues into amazing prizes. Join a winning team of talented people and be a part of an inclusive and supporting community where everyone is celebrated for being themselves. At Entain India, we do what’s right. It’s one of our core values and that’s why we're taking the lead when it comes to creating a diverse, equitable and inclusive future - for our people, and the wider global sports betting and gaming sector. However you identify, across any protected characteristic, our ambition is to ensure our people across the globe feel valued, respected and their individuality celebrated. We comply with all applicable recruitment regulations and employment laws in the jurisdictions where we operate, ensuring ethical and compliant hiring practices globally. Should you need any adjustments or accommodations to the recruitment process, at either application or interview, please contact us.

Job Title Product Management Principal Specialist Key Accountabilities Data Governance: Establish and oversee a federated data governance model across distribution, with clear responsibilities defined between Business Domains with respect to documentation, support, quality, security, commercialisation, and ownership of data, to ensure the optimal use of this asset Enhance the culture within Amadeus that normalises sharing data and making informed decisions on how to best utilise this asset Design and implement data strategies and systems to manage data as an asset Advise on, monitor, and govern TRD data Lead Amadeus Product Life Cycle (PLC) definition, process and documents linked to data and ensure the completion by Product Managers Data Platform: Develop and execute platform strategy for data collection, storage and sharing Represent TRD unit in the transversal data train interacting with the engineer community Establish standards of data quality and oversee compliance with data protection and privacy policies Develop further collaboration cross-Business Lines Support enterprise digital transformation and cost reduction Data Acquisition & Monetisation: Enable and steer new transversal data opportunities and innovation This is an individual contributor role, where candidate will have no direct reports however needs to engage the community of product managers, data and analytics experts. Education Master degree in Engineering (Information Technology, Data Science or related field) or equivalent. OR Bachelor degree in Engineering (Information Technology) with prior experience in Data Management/Governance. Work Experience At least 5 years of experience in a complex business environment or international organisation matrix. Must have experience and knowledge in data governance. Strong IT background, including expertise in big data, cloud technology, monitoring solutions, machine learning ML, and artificial intelligence AI. Familiarity with data governance tools such as Collibra (preferred) or similar alternatives. Proven track record in product management, data management, and information technology systems and tools. Experience with the SAFe Agile framework. Knowledge of data analytics/dashboard tools like Qlik and Microsoft PowerBI is a plus. Nice to have experience in travel domain. Specific Competencies Big data, data governance, data management, ML and AI Product management Budget and planning Negotiation skills Stakeholder management Flexibility Accountability & proactivity Customer focus Diversity & Inclusion Amadeus aspires to be a leader in Diversity, Equity and Inclusion in the tech industry, enabling every employee to reach their full potential by fostering a culture of belonging and fair treatment, attracting the best talent from all backgrounds, and as a role model for an inclusive employee experience. Amadeus is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to gender, race, ethnicity, sexual orientation, age, beliefs, disability or any other characteristics protected by law.

Job Title: Data Steward With Unity Catalog, Databricks Exp :7+yrs Location : Chennai /Hyderabad Mode: WFO · Perform data profiling and structural analysis to identify critical data elements, definitions, and usage patterns. · Develop and maintain comprehensive documentation including policies, standards, manuals, and process flows to support data governance. · Collaborate with business SMEs to define data domains, establish data products, and identify data stewards and governance artifacts. · Ensure all data management practices align with established data governance policies, procedures, and compliance requirements. · Contribute to the design, development, and deployment of data systems by combining technical expertise with hands-on implementation. · Define and enforce data standards in collaboration with stakeholders to optimize data collection, storage, access, and utilization. · Lead the implementation of data governance frameworks encompassing data quality, metadata management, and data lineage. · Drive data stewardship programs and provide expert guidance on governance best practices to business and technical teams. · Manage and operate data governance platforms such as Collibra, Infosphere, Erwin, and Unity Catalog. · Design and automate data quality metrics, dashboards, and reports to monitor governance effectiveness and support continuous improvement. Basic Qualifications · Bachelor’s degree in data science, Computer Science, Information Management, or related field. · Minimum 7 years of professional experience in Data Governance or related data management roles. · Strong knowledge of data governance frameworks, data quality management, and compliance standards. · Hands-on experience with Databricks and Unity Catalog. · Experience with governance tools such as Collibra, Infosphere, Erwin, or similar platforms. Preferred Qualifications · Certifications in data governance or data management (e.g., Certified Information Management Professional - CIMAP · Familiarity with data privacy regulations such as GDPR, CCPA. · Experience with AWS cloud services such as S3, Redshift etc. · Proficiency in SQL, Python, or other scripting languages for data analysis and automation. · Prior experience working in life science industry is a plus.

Primary skills:Technology->Data Management Meta Data->Collibra A day in the life of an Infoscion As part of the Infosys delivery team, your primary role would be to interface with the client for quality assurance, issue resolution and ensuring high customer satisfaction. You will understand requirements, create and review designs, validate the architecture and ensure high levels of service offerings to clients in the technology domain. You will participate in project estimation, provide inputs for solution delivery, conduct technical risk planning, perform code reviews and unit test plan reviews. You will lead and guide your teams towards developing optimized high quality code deliverables, continual knowledge management and adherence to the organizational guidelines and processes. You would be a key contributor to building efficient programs/ systems and if you think you fit right in to help our clients navigate their next in their digital transformation journey, this is the place for you! If you think you fit right in to help our clients navigate their next in their digital transformation journey, this is the place for you! Knowledge of more than one technology Basics of Architecture and Design fundamentals Knowledge of Testing tools Knowledge of agile methodologies Understanding of Project life cycle activities on development and maintenance projects Understanding of one or more Estimation methodologies, Knowledge of Quality processes Basics of business domain to understand the business requirements Analytical abilities, Strong Technical Skills, Good communication skills Good understanding of the technology and domain Ability to demonstrate a sound understanding of software quality assurance principles, SOLID design principles and modelling methods Awareness of latest technologies and trends Excellent problem solving, analytical and debugging skills

At PwC, our people in managed services focus on a variety of outsourced solutions and support clients across numerous functions. These individuals help organisations streamline their operations, reduce costs, and improve efficiency by managing key processes and functions on their behalf. They are skilled in project management, technology, and process optimization to deliver high-quality services to clients. Those in managed service management and strategy at PwC will focus on transitioning and running services, along with managing delivery teams, programmes, commercials, performance and delivery risk. Your work will involve the process of continuous improvement and optimising of the managed services process, tools and services. You are a reliable, contributing member of a team. In our fast-paced environment, you are expected to adapt, take ownership and consistently deliver quality work that drives value for our clients and success as a team. Skills Examples of the skills, knowledge, and experiences you need to lead and deliver value at this level include but are not limited to: Apply a learning mindset and take ownership for your own development. Appreciate diverse perspectives, needs, and feelings of others. Adopt habits to sustain high performance and develop your potential. Actively listen, ask questions to check understanding, and clearly express ideas. Seek, reflect, act on, and give feedback. Gather information from a range of sources to analyse facts and discern patterns. Commit to understanding how the business works and building commercial awareness. Learn and apply professional and technical standards (e.g. refer to specific PwC tax and audit guidance), uphold the Firm's code of conduct and independence requirements. Role: Specialist Tower: Data, Analytics & Specialist Managed Service Experience: 0.6-2 years Key Skills: Azure Educational Qualification: BE / B Tech / ME / M Tech / MBA Work Location: India Job Description As a Specialist, you will work as part of a team of problem solvers, helping to solve complex business issues from strategy to execution. PwC Professional skills and responsibilities for this management level include but are not limited to: Use feedback and reflection to develop self-awareness, personal strengths, and address development areas. Flexible to work in stretch opportunities/assignments. Demonstrate critical thinking and the ability to bring order to unstructured problems. Ticket Quality and deliverables review, Status Reporting for the project. Adherence to SLAs, experience in incident management, change management and problem management. Seek and embrace opportunities which give exposure to different situations, environments, and perspectives. Use straightforward communication, in a structured way, when influencing and connecting with others. Able to read situations and modify behavior to build quality relationships. Uphold the firm's code of ethics and business conduct. Demonstrate leadership capabilities by working, with clients directly and leading the engagement. Work in a team environment that includes client interactions, workstream management, and cross-team collaboration. Good team player, take up cross competency work and contribute to COE activities. Escalation/Risk management. Position Requirements: Required Skills: Azure Cloud Engineer: Job description: Candidate is expected to demonstrate extensive knowledge and/or a proven record of success in the following areas: Should have minimum 6 years hand on experience building advanced Data warehousing solutions on leading cloud platforms. Should have minimum 3-5 years of Operate/Managed Services/Production Support Experience Should have extensive experience in developing scalable, repeatable, and secure data structures and pipelines to ingest, store, collect, standardize, and integrate data for downstream consumption like Business Intelligence systems, Analytics modeling, Data scientists etc. Designing and implementing data pipelines to extract, transform, and load (ETL) data from various sources into data storage systems, such as data warehouses or data lakes. Should have experience in building efficient ETL/ELT processes using industry leading tools like Informatica, Talend, SSIS, AWS, Azure, Spark, SQL, Python etc. Should have Hands-on experience with Data analytics tools like Informatica, Collibra, Hadoop, Spark, Snowflake etc. Design, implement, and maintain data pipelines for data ingestion, processing, and transformation in Azure. Work together with data scientists and analysts to understand the needs for data and create effective data workflows. Create and maintain data storage solutions including Azure SQL Database, Azure Data Lake, and Azure Blob Storage. Utilizing Azure Data Factory or comparable technologies, create and maintain ETL (Extract, Transform, Load) operations. Perform data transformation and processing tasks to prepare the data for analysis and reporting in Azure Databricks or Azure Synapse Analytics for large-scale data transformations using tools like Apache Spark. Implementing data validation and cleansing procedures will ensure the quality, integrity, and dependability of the data. Improve the scalability, efficiency, and cost-effectiveness of data pipelines. Monitoring and troubleshooting data pipelines and resolving issues related to data processing, transformation, or storage. Implementing and maintaining data security and privacy measures, including access controls and encryption, to protect sensitive data Advanced working SQL knowledge and experience working with relational databases, query authoring (SQL) as well as working familiarity with a variety of databases Should have experience in Building and maintaining Data Governance solutions (Data Quality, Metadata management, Lineage, Master Data Management and Data security) using industry leading tools Scaling and optimizing schema and performance tuning SQL and ETL pipelines in data lake and data warehouse environments. Should have Hands-on experience with Data analytics tools like Informatica, Collibra, Hadoop, Spark, Snowflake etc. Should have Experience of ITIL processes like Incident management, Problem Management, Knowledge management, Release management, Data DevOps etc. Should have Strong communication, problem solving, quantitative and analytical abilities. Nice to have: Azure certification Managed Services- Data, Analytics & Insights Managed Service At PwC we relentlessly focus on working with our clients to bring the power of technology and humans together and create simple, yet powerful solutions. We imagine a day when our clients can simply focus on their business knowing that they have a trusted partner for their IT needs. Every day we are motivated and passionate about making our clients’ better. Within our Managed Services platform, PwC delivers integrated services and solutions that are grounded in deep industry experience and powered by the talent that you would expect from the PwC brand. The PwC Managed Services platform delivers scalable solutions that add greater value to our client’s enterprise through technology and human-enabled experiences. Our team of highly skilled and trained global professionals, combined with the use of the latest advancements in technology and process, allows us to provide effective and efficient outcomes. With PwC’s Managed Services our clients are able to focus on accelerating their priorities, including optimizing operations and accelerating outcomes. PwC brings a consultative first approach to operations, leveraging our deep industry insights combined with world class talent and assets to enable transformational journeys that drive sustained client outcomes. Our clients need flexible access to world class business and technology capabilities that keep pace with today’s dynamic business environment. Within our global, Managed Services platform, we provide Data, Analytics & Insights where we focus more so on the evolution of our clients’ Data and Analytics ecosystem. Our focus is to empower our clients to navigate and capture the value of their Data & Analytics portfolio while cost-effectively operating and protecting their solutions. We do this so that our clients can focus on what matters most to your business: accelerating growth that is dynamic, efficient and cost-effective. As a member of our Data, Analytics & Insights Managed Service team, we are looking for candidates who thrive working in a high-paced work environment capable of working on a mix of critical Data, Analytics & Insights offerings and engagement including help desk support, enhancement, and optimization work, as well as strategic roadmap and advisory level work. It will also be key to lend experience and effort in helping win and support customer engagements from not only a technical perspective, but also a relationship perspective.

About Us We are developers of digital futures! Tietoevry creates purposeful technology that reinvents the world for good. We are a leading technology company with a strong Nordic heritage and global capabilities. Based on our core values of openness, trust, and diversity, we work with our customers to develop digital futures where businesses, societies, and humanity thrive. Our 24,000 experts globally specialize in cloud, data, and software, serving thousands of enterprise and public-sector customers in approximately 90 countries. Tietoevry's annual turnover is approximately EUR 3 billion, and the company's shares are listed on the NASDAQ exchange in Helsinki and Stockholm, as well as on Oslo Brs (www.tietoevry.com). About EVRY USA EVRY USA delivers IT services to a wide range of customers in the USA through its global delivery centers and India offices (EVRY India) in Bangalore & Chandigarh, India. We offer a comprehensive IT services portfolio and drive digital transformation across Banking & Financial Services, Insurance, Healthcare, Retail & Logistics, and Energy, Utilities & Manufacturing sectors. EVRY India's process and project maturity is very high the two offshore development centers in India are appraised at CMMI DEV Maturity Level 5 & CMMI SVC Maturity Level 5 and certified under ISO 9001:2015 & ISO/IEC 27001:2013. Roles And Responsibility Skillsets Job Summary We are looking for an experienced Data Governance Architect with deep expertise in Alation and Azure cloud platforms. This role involves partnering with senior stakeholders to define and champion an enterprise data catalog and dictionary strategy, oversee the entire lifecycle of the data catalog from establishing metadata standards and initial MVPs to executing full-scale enterprise rollouts. Pre-requisites 10 years of experience in data governance Proven expertise in Alation tool on Azure platform Understanding of the Snowflake platform Proven expertise in at least two areas: Data Governance Operating Models, Metadata Management, Data Cataloging, Data Lineage or Data Quality Deep understanding of governance frameworks such as DAMA or DCAM, with practical implementation experience. Strong capability in conducting maturity assessments, gap analyses, and delivering actionable strategic roadmaps. Excellent communication skills, with the ability to articulate complex topics clearly and deliver precise documentation. Key Responsibilities Assess current cataloging and dictionary capabilities, identify gaps, and develop actionable roadmaps to enrich metadata quality, accelerate catalog population, and drive adoption. Identify different data personas using the data catalog and design persona specific playbooks to promote adoption. Design, deploy, and manage scalable data catalog and dictionary solutions using platforms like Alation. Understanding of the leading Data Governance tools like Collibra, Purview. Oversee the entire lifecycle of the data catalog from establishing metadata standards and initial MVPs to executing full-scale enterprise rollouts. Define architecture and best practices for metadata management to ensure consistency, scalability, and sustainability of the catalog and dictionary. Identify and catalog critical data elements by capturing clear business terms, glossaries, KPIs, lineage, and persona-specific guides to build a trusted, comprehensive data dictionary. Develop and enforce policies to maintain metadata quality, manage access, and protect sensitive information within the catalog. Implement robust processes for catalog population including automated metadata ingestion, leveraging APIs, glossary management, lineage tracking, and data classification. Develop workflow management approach to notify of changes to certified catalog content to stewards. Create reusable frameworks and templates for data definitions and best practices to streamline catalog adoption across teams.

Join our Data Management team and you will have the opportunity to work in a dynamic and collaborative environment. We are comprised of team members dedicated to maintaining data quality and governance offering relevant experience in data model design, integration, case resolution and analysis. At Macquarie, our advantage is bringing together diverse people and empowering them to shape all kinds of possibilities. We are a global financial services group operating in 31 markets and with 56 years of unbroken profitability. You’ll be part of a friendly and supportive team where everyone - no matter what role - contributes ideas and drives outcomes. What role will you play? In this role, you will play a significant role in working closely with finance and technology teams to maintain high quality data. Your experience in a financial services industry will help support in daily fund operations initiatives which include acting as point of contact for various stakeholders and being responsible in identifying, escalating and documenting questions. What You Offer Tertiary qualification in a business discipline with 1 to 5 years of post-qualification experience in the fund management industry Proficient in SQL, Microsoft Office particularly in Word and Excel Good knowledge of Collibra, Python and dashboarding tools like PowerBI, and Tableau Stakeholder management and good written and verbal communication skills Previous experience in private equity markets, fund of funds, structured products, managing eFront, Bloomberg or master data systems is desirable We love hearing from anyone inspired to build a better future with us, if you're excited about the role or working at Macquarie we encourage you to apply. About Macquarie Asset Management Macquarie Asset Management is a global asset manager that aims to deliver positive impact. We’re trusted by institutions, pension funds, governments, and individuals to manage billions in assets globally. We provide access to specialist investment expertise across a range of capabilities including fixed income, equities, multi-asset solutions, private credit, infrastructure, green investments, natural assets, real estate, and asset finance. Our commitment to diversity, equity and inclusion We are committed to fostering a diverse, equitable and inclusive workplace. We encourage people from all backgrounds to apply and welcome all identities, including race, ethnicity, cultural identity, nationality, gender (including gender identity or expression), age, sexual orientation, marital or partnership status, parental, caregiving or family status, neurodiversity, religion or belief, disability, or socio-economic background. We welcome further discussions on how you can feel included and belong at Macquarie as you progress through our recruitment process. Our aim is to provide reasonable adjustments to individuals who may need support during the recruitment process and through working arrangements. If you require additional assistance, please let us know in the application process.

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.

Position Overview This role is responsible for defining and delivering ZURU’s next-generation data architecture—built for global scalability, real-time analytics, and AI enablement. You will lead the unification of fragmented data systems into a cohesive, cloud-native platform that supports advanced business intelligence and decision-making. Sitting at the intersection of data strategy, engineering, and commercial enablement, this role demands both deep technical acumen and strong cross-functional influence. You will drive the vision and implementation of robust data infrastructure, champion governance standards, and embed a culture of data excellence across the organisation. Position Impact In the first six months, the Head of Data Architecture will gain deep understanding of ZURU’s operating model, technology stack, and data fragmentation challenges. You’ll conduct a comprehensive review of current architecture, identifying performance gaps, security concerns, and integration challenges across systems like SAP, Odoo, POS, and marketing platforms. By month twelve, you’ll have delivered a fully aligned architecture roadmap—implementing cloud-native infrastructure, data governance standards, and scalable models and pipelines to support AI and analytics. You will have stood up a Centre of Excellence for Data, formalised global data team structures, and established yourself as a trusted partner to senior leadership. What are you Going to do? Lead Global Data Architecture: Own the design, evolution, and delivery of ZURU’s enterprise data architecture across cloud and hybrid environments. Consolidate Core Systems: Unify data sources across SAP, Odoo, POS, IoT, and media into a single analytical platform optimised for business value. Build Scalable Infrastructure: Architect cloud-native solutions that support both batch and streaming data workflows using tools like Databricks, Kafka, and Snowflake. Implement Governance Frameworks: Define and enforce enterprise-wide data standards for access control, privacy, quality, security, and lineage. Enable Metadata & Cataloguing: Deploy metadata management and cataloguing tools to enhance data discoverability and self-service analytics. Operationalise AI/ML Pipelines: Lead data architecture that supports AI/ML initiatives, including demand forecasting, pricing models, and personalisation. Partner Across Functions: Translate business needs into data architecture solutions by collaborating with leaders in Marketing, Finance, Supply Chain, R&D, and Technology. Optimize Cloud Cost & Performance: Roll out compute and storage systems that balance cost efficiency, performance, and observability across platforms. Establish Data Leadership: Build and mentor a high-performing data team across India and NZ, and drive alignment across engineering, analytics, and governance. Vendor and Tool Strategy: Evaluate external tools and partners to ensure the data ecosystem is future-ready, scalable, and cost-effective. What are we Looking for? 8+ years of experience in data architecture, with 3+ years in a senior or leadership role across cloud or hybrid environments Proven ability to design and scale large data platforms supporting analytics, real-time reporting, and AI/ML use cases Hands-on expertise with ingestion, transformation, and orchestration pipelines (e.g. Kafka, Airflow, DBT, Fivetran) Strong knowledge of ERP data models, especially SAP and Odoo Experience with data governance, compliance (GDPR/CCPA) , metadata cataloguing, and security practices Familiarity with distributed systems and streaming frameworks like Spark or Flink Strong stakeholder management and communication skills, with the ability to influence both technical and business teams Experience building and leading cross-regional data teams Tools & Technologies Cloud Platforms: AWS (S3, EMR, Kinesis, Glue), Azure (Synapse, ADLS), GCP Big Data: Hadoop, Apache Spark, Apache Flink Streaming: Kafka, Kinesis, Pub/Sub Orchestration: Airflow, Prefect, Dagster, DBT Warehousing: Snowflake, Redshift, BigQuery, Databricks Delta NoSQL: Cassandra, DynamoDB, HBase, Redis Query Engines: Presto/Trino, Athena IaC & CI/CD: Terraform, GitLab Actions Monitoring: Prometheus, Grafana, ELK, OpenTelemetry Security/Governance: IAM, TLS, KMS, Amundsen, DataHub, Collibra, DBT for lineage What do we Offer? Competitive compensation ️ 5 Working Days with Flexible Working Hours Medical Insurance for self & family Training & skill development programs Work with the Global team, Make the most of the diverse knowledge Several discussions over Multiple Pizza Parties A lot more! Come and discover us!

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.

Summary Data Steward has accountability for day-to-day management of data. They are the Subject Matter Experts who understand and communicate the meaning and use of information. They are responsible for working with the Data & Business Owners to implement data quality standards & process. About The Role Key Responsibilities: Execute data stewardship tasks, using common methods & tools. Collaborate with business in defining business rules for the data and documenting metadata for various data elements Collaborate with Data Governance team providing input for Data Standards and Process as per insights gained from the data Develop good understanding of Finance business processes, end-to-end business and data functionality Work closely with the Data Owners, Data Governance and Data Quality, Global Process Owner (GPO) to ensure execution of data stewardship tasks as per aligned stewardship process and standards Liaise with the Functional Data Owners, Business Owner, Data Maintainers, to discuss and resolve Data Quality issues. Continuously monitor the progress of Data Quality KPIs and ensure adherence Ensure continuous and effective communication with relevant team members, stakeholders and colleagues in relation to stewardship activities. Review and approve data exceptions for the data created by Data Owner/Maintenance team Collaborate effectively with data community, to facilitate shared learning between Business Users and Stewards and to promote active Data Quality Governance through the Finance Master Data Team. Adherence to the Novartis Values & Behaviors Ensure exemplary communication with all stakeholders including internal associates through regular updates with focus on accomplishments, KPIs, best practices, change management, key events etc. Implement continuous process improvement projects to improve data quality & productivity. Implementation of Data Quality Strategy & framework .Ensure to maintain the Quality of Master Data throughout the business process Provide guidance and set standards of functional excellence in methodologies, processes and SOPs to enable enhancement of Global & Local data operations Essential Requirements Chartered Accountant /MBA finance or equivalent. CA Preferred. 5+ years of experience working as a data steward for key business functions such as Finance, Pharmaceutical, Healthcare Hands-on experience in working in Data Quality, Data Governance, Master data and data management domain Hands-on experience in Collibra, Informatica Data Quality, Informatica Analyst, Ataccama, Alation or any such tools. Familiar with process set-up, Data Quality KPIs and operational issues / management Exposure to tools like Power BI, Service Now, Jira, Confluence, Excel, PowerPoint, and SharePoint for analysis & documentation. Strong understanding of data models, data lifecycle, and enterprise systems (e.g., SAP ECC/S4 Hana, SAP EDW). Proficiency in Data Stewardship process, Data Quality monitoring and issue remediation Excellent analytical, communication, Presentation, and stakeholder management skills Why Novartis: Helping people with disease and their families takes more than innovative science. It takes a community of smart, passionate people like you. Collaborating, supporting and inspiring each other. Combining to achieve breakthroughs that change patients’ lives. Ready to create a brighter future together? https://www.novartis.com/about/strategy/people-and-culture Join our Novartis Network: Not the right Novartis role for you? Sign up to our talent community to stay connected and learn about suitable career opportunities as soon as they come up: https://talentnetwork.novartis.com/network Benefits and Rewards: Read our handbook to learn about all the ways we’ll help you thrive personally and professionally: https://www.novartis.com/careers/benefits-rewards

At PwC, our people in managed services focus on a variety of outsourced solutions and support clients across numerous functions. These individuals help organisations streamline their operations, reduce costs, and improve efficiency by managing key processes and functions on their behalf. They are skilled in project management, technology, and process optimization to deliver high-quality services to clients. Those in managed service management and strategy at PwC will focus on transitioning and running services, along with managing delivery teams, programmes, commercials, performance and delivery risk. Your work will involve the process of continuous improvement and optimising of the managed services process, tools and services. You are a reliable, contributing member of a team. In our fast-paced environment, you are expected to adapt, take ownership and consistently deliver quality work that drives value for our clients and success as a team. Skills Examples of the skills, knowledge, and experiences you need to lead and deliver value at this level include but are not limited to: Apply a learning mindset and take ownership for your own development. Appreciate diverse perspectives, needs, and feelings of others. Adopt habits to sustain high performance and develop your potential. Actively listen, ask questions to check understanding, and clearly express ideas. Seek, reflect, act on, and give feedback. Gather information from a range of sources to analyse facts and discern patterns. Commit to understanding how the business works and building commercial awareness. Learn and apply professional and technical standards (e.g. refer to specific PwC tax and audit guidance), uphold the Firm's code of conduct and independence requirements. Role: Specialist Tower: Data Analytics & Insights Managed Service Experience: 1 - 3 years Key Skills: Data Engineering Educational Qualification: Bachelor's degree in computer science/IT or relevant field Work Location: Bangalore, India Job Description As a Specialist, you'll work as part of a team of problem solvers, helping to solve complex business issues from strategy to execution by using Data, Analytics & Insights Skills. PwC Professional skills and responsibilities for this management level include but are not limited to: Use feedback and reflection to develop self-awareness, personal strengths, and address development areas. Flexible to work in stretch opportunities/assignments. Demonstrate critical thinking and the ability to bring order to unstructured problems. Ticket Quality and deliverables review, Status Reporting for the project. Adherence to SLAs, experience in incident management, change management and problem management. Review your work and that of others for quality, accuracy, and relevance. Know how and when to use tools available for a given situation and can explain the reasons for this choice. Seek and embrace opportunities which give exposure to different situations, environments, and perspectives. Use straightforward communication, in a structured way, when influencing and connecting with others. Able to read situations and modify behavior to build quality relationships. Uphold the firm's code of ethics and business conduct. Demonstrate leadership capabilities by working with clients directly and leading the engagement. Work in a team environment that includes client interactions, workstream management, and cross-team collaboration. Good Team player. Take up cross competency work and contribute to COE activities. Escalation/Risk management. Position Requirements Required Skills: Primary Skill: ETL/ELT, SQL, Informatica, Python Secondary Skill: Azure/AWS/GCP, Talend, DataStage, etc. Data Engineer Should have minimum 1 years of Operate/Managed Services/Production Support Experience Should have extensive experience in developing scalable, repeatable, and secure data structures and pipelines to ingest, store, collect, standardize, and integrate data that for downstream consumption like Business Intelligence systems, Analytics modelling, Data scientists etc. Designing and implementing data pipelines to extract, transform, and load (ETL) data from various sources into data storage systems, such as data warehouses or data lakes. Should have experience in building efficient, ETL/ELT processes using industry leading tools like Informatica, Talend, SSIS, SSRS, AWS, Azure, ADF, GCP, Snowflake, Spark, SQL, Python etc. Should have Hands-on experience with Data analytics tools like Informatica, Collibra, Hadoop, Spark, Snowflake etc. Monitoring and troubleshooting data pipelines and resolving issues related to data processing, transformation, or storage. Implementing and maintaining data security and privacy measures, including access controls and encryption, to protect sensitive data. Advanced working SQL knowledge and experience working with relational databases, query authoring (SQL) as well as working familiarity with a variety of databases. Scaling and optimizing schema and performance tuning SQL and ETL pipelines in data lake and data warehouse environments. Should have Experience of ITIL processes like Incident management, Problem Management, Knowledge management, Release management, Data DevOps etc. Should have Strong communication, problem solving, quantitative and analytical abilities. Nice To Have Certifications in Cloud Technology is an added advantage. Experience in Visualization tools like Power BI, Tableau, Qlik, etc. Managed Services- Data, Analytics & Insights At PwC we relentlessly focus on working with our clients to bring the power of technology and humans together and create simple, yet powerful solutions. We imagine a day when our clients can simply focus on their business knowing that they have a trusted partner for their IT needs. Every day we are motivated and passionate about making our clients’ better. Within our Managed Services platform, PwC delivers integrated services and solutions that are grounded in deep industry experience and powered by the talent that you would expect from the PwC brand. The PwC Managed Services platform delivers scalable solutions that add greater value to our client’s enterprise through technology and human-enabled experiences. Our team of highly skilled and trained global professionals, combined with the use of the latest advancements in technology and process, allows us to provide effective and efficient outcomes. With PwC’s Managed Services our clients are able to focus on accelerating their priorities, including optimizing operations and accelerating outcomes. PwC brings a consultative first approach to operations, leveraging our deep industry insights combined with world class talent and assets to enable transformational journeys that drive sustained client outcomes. Our clients need flexible access to world class business and technology capabilities that keep pace with today’s dynamic business environment. Within our global, Managed Services platform, we provide Data, Analytics & Insights Managed Service where we focus more so on the evolution of our clients’ Data, Analytics, Insights and cloud portfolio. Our focus is to empower our clients to navigate and capture the value of their application portfolio while cost-effectively operating and protecting their solutions. We do this so that our clients can focus on what matters most to your business: accelerating growth that is dynamic, efficient and cost-effective. As a member of our Data, Analytics & Insights Managed Service team, we are looking for candidates who thrive working in a high-paced work environment capable of working on a mix of critical Application Evolution Service offerings and engagement including help desk support, enhancement and optimization work, as well as strategic roadmap and advisory level work. It will also be key to lend experience and effort in helping win and support customer engagements from not only a technical perspective, but also a relationship perspective.

At PwC, our managed services team focuses on providing outsourced solutions and support to clients across various functions. We help organizations streamline operations, reduce costs, and enhance efficiency by managing key processes and functions on their behalf. Our team is skilled in project management, technology, and process optimization to deliver high-quality services to clients. Those in managed service management and strategy at PwC are responsible for transitioning and running services, managing delivery teams, programs, commercials, performance, and delivery risk. Your role will involve continuous improvement and optimization of managed services processes, tools, and services. As an Associate at PwC, you will work as part of a team of problem solvers, assisting in solving complex business issues from strategy to execution. Professional skills and responsibilities at this level include using feedback and reflection to develop self-awareness, demonstrating critical thinking, and bringing order to unstructured problems. You will be involved in ticket quality review, status reporting for projects, adherence to SLAs, incident management, change management, and problem management. Additionally, you will seek opportunities for exposure to different situations, environments, and perspectives, uphold the firm's code of ethics, demonstrate leadership capabilities, and work in a team environment that includes client interactions and cross-team collaboration. Required Skills: - AWS Cloud Engineer - Minimum 2 years of hands-on experience in building advanced data warehousing solutions on leading cloud platforms - Minimum 1-3 years of Operate/Managed Services/Production Support Experience - Extensive experience in developing scalable, repeatable, and secure data structures and pipelines - Designing and implementing data pipelines for data ingestion, processing, and transformation in AWS - Building efficient ETL/ELT processes using industry-leading tools like AWS, PySpark, SQL, Python, etc. - Implementing data validation and cleansing procedures - Monitoring and troubleshooting data pipelines - Implementing and maintaining data security and privacy measures - Strong communication, problem-solving, quantitative, and analytical abilities Nice To Have: - AWS certification In our Managed Services platform, we deliver integrated services and solutions grounded in deep industry experience and powered by talent. Our team provides scalable solutions that add value to our clients" enterprise through technology and human-enabled experiences. We focus on empowering clients to navigate and capture the value of their Data & Analytics portfolio while cost-effectively operating and protecting their solutions. As a member of our Data, Analytics & Insights Managed Service team, you will work on critical offerings, help desk support, enhancement, optimization work, and strategic roadmap and advisory level work. Your contribution will be crucial in supporting customer engagements both technically and relationally.,

We are seeking an experienced Data Governance Architect with specialized knowledge in Alation and Azure cloud platforms. In this role, you will collaborate with senior stakeholders to establish and advocate for an enterprise data catalog and dictionary strategy. Your responsibilities will encompass overseeing the complete data catalog lifecycle, from defining metadata standards and initial MVPs to executing large-scale enterprise rollouts. To qualify for this position, you should have over 10 years of experience in data governance and demonstrate proficiency in Alation tool on Azure platform. Additionally, familiarity with the Snowflake platform is required. Expertise in at least two of the following areas is essential: Data Governance Operating Models, Metadata Management, Data Cataloging, Data Lineage, or Data Quality. A deep understanding of governance frameworks like DAMA or DCAM, along with practical implementation experience, is crucial. As a Data Governance Architect, you must possess strong capabilities in conducting maturity assessments, gap analyses, and delivering strategic roadmaps. Excellent communication skills are necessary for articulating complex topics clearly and producing precise documentation. Key Responsibilities: - Evaluate existing cataloging and dictionary capabilities, identify gaps, and create roadmaps to enhance metadata quality, speed up catalog population, and foster adoption. - Recognize various data personas utilizing the data catalog and develop persona-specific playbooks to encourage adoption. - Plan, implement, and supervise scalable data catalog and dictionary solutions using platforms such as Alation. - Comprehend leading Data Governance tools like Collibra and Purview. - Supervise the entire data catalog lifecycle, including setting metadata standards, developing initial MVPs, and executing large-scale enterprise rollouts. - Define architecture and best practices for metadata management to ensure catalog and dictionary consistency, scalability, and sustainability. - Identify and categorize critical data elements by documenting clear business terms, glossaries, KPIs, lineage, and persona-specific guides to construct a reliable data dictionary. - Establish and enforce policies to uphold metadata quality, regulate access, and safeguard sensitive information within the catalog. - Implement robust processes for catalog population through automated metadata ingestion, API utilization, glossary management, lineage tracking, and data classification. - Create a workflow management approach to notify stewards of changes to certified catalog content. - Develop reusable frameworks and templates for data definitions and best practices to streamline catalog adoption across teams.,

As a Vice President (C13) Data Governance Manager at Citi, you will be part of the Analytics Information Management (AIM) global community, contributing to the data-driven transformation across the organization. Your role will involve managing the implementation of data quality measurement programs within the Personal Banking Data team, supporting regulatory programs like CCAR and AML, metrics design, data governance, DQ scorecards, issue management, audit support, compliance, and data certification. You will be required to possess analytical and project management skills to liaise with business, operations, and technology stakeholders, define data quality rules, implement data governance initiatives, and lead efforts to enhance data quality. Your expertise should include being a subject matter expert on data management policy, issue management & resolution, and familiarity with data-related policies and standards. Preferred expertise in tools and platforms such as SAS, SQL, Teradata, Collibra, JIRA, MS Excel, and PowerPoint is desired. Domain skills in banking, audit framework, data quality framework, and risk & control metrics are essential. Knowledge of finance regulations and understanding of the audit process would be an advantage. Soft skills required for this role include the ability to solve complex business problems, excellent communication, interpersonal skills, good process/project management skills, mentoring abilities, and the capacity to work well in a dynamic environment. Educational qualifications preferred include an MBA or Masters Degree in Economics, Statistics, Mathematics, Information Technology, or Computer Applications from a premier institute, along with 12+ years of hands-on experience in data management, with at least 2-3 years in the banking industry. If you are proactive, detail-oriented, and a strong team player with a proactive approach to problem-solving, this role offers the opportunity to contribute to organizational initiatives and work in a fast-paced environment. Your ability to collaborate across functional areas, thrive in dynamic settings, and engage in competency development activities will be key to success in this position.,

As an Associate in the Data Transfer, Integration & Quality II role at BNY, you will have the opportunity to be a key part of the Wealth Management Data Governance team. Located in Pune, MH HYBRID, you will play a crucial role in the transformation of data within Wealth Management, ensuring information is accessible and actionable for our business partners. Your responsibilities will include learning industry best practices for data management, data quality, refining data wrangling skills, and providing data-driven insights to our front-line business partners. Your main focus will be on implementing a collaborative data platform to streamline the movement, transformation, analysis, and communication of information. This will involve building relationships with key stakeholders, understanding data needs of internal clients, and collaborating with IT to deliver data solutions. You will utilize tools such as Collibra, CDQ, and DataIku to perform your duties effectively, including connecting to databases, SQL functions, and creating reports upon request. To excel in this role, we are looking for candidates with a B Tech/BE/BS Degree, with a preference for stats, math, or engineering degrees. You should have at least 3 years of experience in Data Quality and Data Management, along with 2+ years of experience with Collibra and CDQ. Strong interpersonal skills, SQL proficiency, knowledge of Snowflake, and a passion for helping others and learning new skills are essential. Experience with Dataiku, the financial industry, Excel, and Agile methodologies would be advantageous. Joining BNY means becoming part of a culture that has been recognized with numerous awards, including being named America's Most Innovative Company and one of the World's Most Admired Companies by Fortune. We are committed to diversity and inclusivity, as demonstrated by our high scores in the Corporate Equality Index and Best Places to Work for Disability Inclusion. Additionally, we have been recognized for our sustainability efforts and gender equality initiatives. At BNY, you will enjoy equal employment opportunities and affirmative action, with a focus on supporting underrepresented groups, females, individuals with disabilities, and protected veterans.,

Job Title: Data Catalogue Specialist Career Level : D2 Introduction To Role Are you ready to make a significant impact in the world of data management? As a Data Catalogue Specialist, you'll play a crucial role in ensuring data is findable, accessible, and fit for use across various business units. You'll be responsible for capturing metadata and developing the data catalogue, supporting Commercial and Enabling Units business areas. Join us in shaping the future of data governance and management! Accountabilities Support the Data Catalogue Principal to define Information Asset Registers across business areas to help profile information risk/value. Participate in projects to mitigate and control identified priority risk areas. Take responsibility for nominated markets/business areas, develop domain knowledge and leverage internal customer relationships to respond to localized use cases. Act as point of contact for nominated business areas or markets. Support initiatives to enhance the reusability and transparency of our data by making it available in our global data catalogue. Support the capture of user requirements for functionality and usability, and document technical requirements. Work with IT partners to capture metadata for relevant data sets and lineage, and populate the catalogue. Work with data stewards and business users to enrich catalogue entries with business data dictionary, business rules, glossaries. Execute monitoring controls to assure metadata quality remains at a high level. Support catalogue principles and data governance leads for tool evaluation and UAT. Essential Skills/Experience Demonstrable experience of working in a data management, data governance or data engineering domain. Strong business and system analysis skills. Proven experience with Data Catalogue, Search and Automation software (Collibra, Informatica, Talend etc). Ability to interpret and communicate technical information into business language and in alignment with AZ business. Solid understanding of metadata harvesting methodologies and ability to create business and technical metadata sets. Strong engagement, communication and stakeholder management skills, including excellent organisational, presentation and influencing skills. High level of proficiency with common business applications (Excel, Visio, Word, PowerPoint & SAP business user). Desirable Skills/Experience Proven experience of working with Commercial or Finance data and systems (Veeva, Reltio, SAP) and consumption. Domain knowledge of life sciences/pharmaceuticals; manufacturing; corporate finance; or sales & marketing. Experience with data quality and profiling software. Experience of working in a complex, diverse global organisation. When we put unexpected teams in the same room, we unleash bold thinking with the power to inspire life-changing medicines. In-person working gives us the platform we need to connect, work at pace and challenge perceptions. That's why we work, on average, a minimum of three days per week from the office. But that doesn't mean we're not flexible. We balance the expectation of being in the office while respecting individual flexibility. Join us in our unique and ambitious world. At AstraZeneca, you'll be part of a global team that drives excellence and breakthroughs. Here, your skills can genuinely impact patients' lives. With a focus on innovation and intelligent risk-taking, we empower every function to run faster and achieve more. Our collaborative environment encourages you to speak up, take initiative, and make your mark. Surrounded by high performers, you'll be inspired to learn and grow while contributing to our digital transformation journey. Ready to take on this exciting challenge? Apply now and become a key player in our dynamic team! Date Posted 17-Jul-2025 Closing Date 23-Jul-2025 AstraZeneca embraces diversity and equality of opportunity. We are committed to building an inclusive and diverse team representing all backgrounds, with as wide a range of perspectives as possible, and harnessing industry-leading skills. We believe that the more inclusive we are, the better our work will be. We welcome and consider applications to join our team from all qualified candidates, regardless of their characteristics. We comply with all applicable laws and regulations on non-discrimination in employment (and recruitment), as well as work authorization and employment eligibility verification requirements.

Position Overview This role is responsible for defining and delivering ZURU’s next-generation data architecture—built for global scalability, real-time analytics, and AI enablement. You will lead the unification of fragmented data systems into a cohesive, cloud-native platform that supports advanced business intelligence and decision-making. Sitting at the intersection of data strategy, engineering, and commercial enablement, this role demands both deep technical acumen and strong cross-functional influence. You will drive the vision and implementation of robust data infrastructure, champion governance standards, and embed a culture of data excellence across the organisation. Position Impact In the first six months, the Head of Data Architecture will gain deep understanding of ZURU’s operating model, technology stack, and data fragmentation challenges. You’ll conduct a comprehensive review of current architecture, identifying performance gaps, security concerns, and integration challenges across systems like SAP, Odoo, POS, and marketing platforms. By month twelve, you’ll have delivered a fully aligned architecture roadmap—implementing cloud-native infrastructure, data governance standards, and scalable models and pipelines to support AI and analytics. You will have stood up a Centre of Excellence for Data, formalised global data team structures, and established yourself as a trusted partner to senior leadership. What are you Going to do? Lead Global Data Architecture: Own the design, evolution, and delivery of ZURU’s enterprise data architecture across cloud and hybrid environments. Consolidate Core Systems: Unify data sources across SAP, Odoo, POS, IoT, and media into a single analytical platform optimised for business value. Build Scalable Infrastructure: Architect cloud-native solutions that support both batch and streaming data workflows using tools like Databricks, Kafka, and Snowflake. Implement Governance Frameworks: Define and enforce enterprise-wide data standards for access control, privacy, quality, security, and lineage. Enable Metadata & Cataloguing: Deploy metadata management and cataloguing tools to enhance data discoverability and self-service analytics. Operationalise AI/ML Pipelines: Lead data architecture that supports AI/ML initiatives, including demand forecasting, pricing models, and personalisation. Partner Across Functions: Translate business needs into data architecture solutions by collaborating with leaders in Marketing, Finance, Supply Chain, R&D, and Technology. Optimize Cloud Cost & Performance: Roll out compute and storage systems that balance cost efficiency, performance, and observability across platforms. Establish Data Leadership: Build and mentor a high-performing data team across India and NZ, and drive alignment across engineering, analytics, and governance. Vendor and Tool Strategy: Evaluate external tools and partners to ensure the data ecosystem is future-ready, scalable, and cost-effective. What are we Looking for? 8+ years of experience in data architecture, with 3+ years in a senior or leadership role across cloud or hybrid environments Proven ability to design and scale large data platforms supporting analytics, real-time reporting, and AI/ML use cases Hands-on expertise with ingestion, transformation, and orchestration pipelines (e.g. Kafka, Airflow, DBT, Fivetran) Strong knowledge of ERP data models, especially SAP and Odoo Experience with data governance, compliance (GDPR/CCPA), metadata cataloguing, and security practices Familiarity with distributed systems and streaming frameworks like Spark or Flink Strong stakeholder management and communication skills, with the ability to influence both technical and business teams Experience building and leading cross-regional data teams Tools & Technologies Cloud Platforms: AWS (S3, EMR, Kinesis, Glue), Azure (Synapse, ADLS), GCP Big Data: Hadoop, Apache Spark, Apache Flink Streaming: Kafka, Kinesis, Pub/Sub Orchestration: Airflow, Prefect, Dagster, DBT Warehousing: Snowflake, Redshift, BigQuery, Databricks Delta NoSQL: Cassandra, DynamoDB, HBase, Redis Query Engines: Presto/Trino, Athena IaC & CI/CD: Terraform, GitLab Actions Monitoring: Prometheus, Grafana, ELK, OpenTelemetry Security/Governance: IAM, TLS, KMS, Amundsen, DataHub, Collibra, DBT for lineage What do we Offer? 💰 Competitive compensation 💰 Annual Performance Bonus ⌛️ 5 Working Days with Flexible Working Hours 🚑 Medical Insurance for self & family 🚩 Training & skill development programs 🤘🏼 Work with the Global team, Make the most of the diverse knowledge 🍕 Several discussions over Multiple Pizza Parties A lot more! Come and discover us!

Senior Python Developer Location - Pune/ C hennai Years of Experience - 6+ Availability to Join - Immediate Role - Full time Job Description We are seeking a skilled Software Engineer with strong Python experience to join our team. The ideal candidate will have a solid technical background, a good business understanding of Collibra DIP (preferred), and excellent communication skills to collaborate effectively with stakeholders. Key Responsibilities: Design, develop, and enhance Python-based web applications that automate manual Excel modifications through integration with the Collibra API. Collaborate with business stakeholders to understand processes and translate requirements into technical solutions. Support data governance initiatives with knowledge of Collibra DIP as a plus. Communicate effectively across teams to facilitate smooth project delivery. Problem-solving mindset and attention to detail.

Role: Senior Associate Tower: Data, Analytics & Specialist Managed Service Experience: 6 - 10 years Key Skills: Azure Educational Qualification: BE / B Tech / ME / M Tech / MBA Work Location: Bangalore Job Description As a Senior Associate, you will work as part of a team of problem solvers, helping to solve complex business issues from strategy to execution. PwC Professional skills and responsibilities for this management level include but are not limited to: Use feedback and reflection to develop self-awareness, personal strengths, and address development areas. Flexible to work in stretch opportunities/assignments. Demonstrate critical thinking and the ability to bring order to unstructured problems. Ticket Quality and deliverables review, Status Reporting for the project. Adherence to SLAs, experience in incident management, change management and problem management. Seek and embrace opportunities which give exposure to different situations, environments, and perspectives. Use straightforward communication, in a structured way, when influencing and connecting with others. Able to read situations and modify behavior to build quality relationships. Uphold the firm's code of ethics and business conduct. Demonstrate leadership capabilities by working, with clients directly and leading the engagement. Work in a team environment that includes client interactions, workstream management, and cross-team collaboration. Good team player, take up cross competency work and contribute to COE activities. Escalation/Risk management. Position Requirements: Required Skills: Azure Cloud Engineer: Job description: Candidate is expected to demonstrate extensive knowledge and/or a proven record of success in the following areas: Should have minimum 6 years hand on experience building advanced Data warehousing solutions on leading cloud platforms. Should have minimum 3-5 years of Operate/Managed Services/Production Support Experience Should have extensive experience in developing scalable, repeatable, and secure data structures and pipelines to ingest, store, collect, standardize, and integrate data that for downstream consumption like Business Intelligence systems, Analytics modelling, Data scientists etc. Designing and implementing data pipelines to extract, transform, and load (ETL) data from various sources into data storage systems, such as data warehouses or data lakes. Should have experience in building efficient, ETL/ELT processes using industry leading tools like Informatica, Talend, SSIS, AWS, Azure, Spark, SQL, Python etc. Should have Hands-on experience with Data analytics tools like Informatica, Collibra, Hadoop, Spark, Snowflake etc. Design, implement, and maintain data pipelines for data ingestion, processing, and transformation in Azure. Work together with data scientists and analysts to understand the needs for data and create effective data workflows. Create and maintain data storage solutions including Azure SQL Database, Azure Data Lake, and Azure Blob Storage. Utilizing Azure Data Factory or comparable technologies, create and maintain ETL (Extract, Transform, Load) operations. Perform data transformation and processing tasks to prepare the data for analysis and reporting in Azure Databricks or Azure Synapse Analytics for large-scale data transformations using tools like Apache Spark. Implementing data validation and cleansing procedures will ensure the quality, integrity, and dependability of the data. Improve the scalability, efficiency, and cost-effectiveness of data pipelines. Monitoring and troubleshooting data pipelines and resolving issues related to data processing, transformation, or storage. Implementing and maintaining data security and privacy measures, including access controls and encryption, to protect sensitive data Advanced working SQL knowledge and experience working with relational databases, query authoring (SQL) as well as working familiarity with a variety of databases Should have experience in Building and maintaining Data Governance solutions (Data Quality, Metadata management, Lineage, Master Data Management and Data security) using industry leading tools Scaling and optimizing schema and performance tuning SQL and ETL pipelines in data lake and data warehouse environments. Should have Hands-on experience with Data analytics tools like databricks Should have Experience of ITIL processes like Incident management, Problem Management, Knowledge management, Release management, Data DevOps etc. Should have Strong communication, problem solving, quantitative and analytical abilities. Nice to have: Azure certification Managed Services- Data, Analytics & Insights Managed Service At PwC we relentlessly focus on working with our clients to bring the power of technology and humans together and create simple, yet powerful solutions. We imagine a day when our clients can simply focus on their business knowing that they have a trusted partner for their IT needs. Every day we are motivated and passionate about making our clients’ better. Within our Managed Services platform, PwC delivers integrated services and solutions that are grounded in deep industry experience and powered by the talent that you would expect from the PwC brand. The PwC Managed Services platform delivers scalable solutions that add greater value to our client’s enterprise through technology and human-enabled experiences. Our team of highly skilled and trained global professionals, combined with the use of the latest advancements in technology and process, allows us to provide effective and efficient outcomes. With PwC’s Managed Services our clients are able to focus on accelerating their priorities, including optimizing operations and accelerating outcomes. PwC brings a consultative first approach to operations, leveraging our deep industry insights combined with world class talent and assets to enable transformational journeys that drive sustained client outcomes. Our clients need flexible access to world class business and technology capabilities that keep pace with today’s dynamic business environment. Within our global, Managed Services platform, we provide Data, Analytics & Insights where we focus more so on the evolution of our clients’ Data and Analytics ecosystem. Our focus is to empower our clients to navigate and capture the value of their Data & Analytics portfolio while cost-effectively operating and protecting their solutions. We do this so that our clients can focus on what matters most to your business: accelerating growth that is dynamic, efficient and cost-effective. As a member of our Data, Analytics & Insights Managed Service team, we are looking for candidates who thrive working in a high-paced work environment capable of working on a mix of critical Data, Analytics & Insights offerings and engagement including help desk support, enhancement, and optimization work, as well as strategic roadmap and advisory level work. It will also be key to lend experience and effort in helping win and support customer engagements from not only a technical perspective, but also a relationship perspective.

Role: Associate Tower: Data, Analytics & Specialist Managed Service Experience: : 6-9.5 years Key Skills: AWS Educational Qualification: BE / B Tech / ME / M Tech / MBA Work Location: Bangalore Job Description As a Associate, you will work as part of a team of problem solvers, helping to solve complex business issues from strategy to execution. PwC Professional skills and responsibilities for this management level include but are not limited to: Use feedback and reflection to develop self-awareness, personal strengths, and address development areas. Flexible to work in stretch opportunities/assignments. Demonstrate critical thinking and the ability to bring order to unstructured problems. Ticket Quality and deliverables review, Status Reporting for the project. Adherence to SLAs, experience in incident management, change management and problem management. Seek and embrace opportunities which give exposure to different situations, environments, and perspectives. Use straightforward communication, in a structured way, when influencing and connecting with others. Able to read situations and modify behavior to build quality relationships. Uphold the firm's code of ethics and business conduct. Demonstrate leadership capabilities by working, with clients directly and leading the engagement. Work in a team environment that includes client interactions, workstream management, and cross-team collaboration. Good team player, take up cross competency work and contribute to COE activities. Escalation/Risk management. Position Requirements: Required Skills: AWS Cloud Engineer: Job description: Candidate is expected to demonstrate extensive knowledge and/or a proven record of success in the following areas: Should have minimum 2 years hand on experience building advanced Data warehousing solutions on leading cloud platforms. Should have minimum 1-3 years of Operate/Managed Services/Production Support Experience Should have extensive experience in developing scalable, repeatable, and secure data structures and pipelines to ingest, store, collect, standardize, and integrate data that for downstream consumption like Business Intelligence systems, Analytics modelling, Data scientists etc. Designing and implementing data pipelines to extract, transform, and load (ETL) data from various sources into data storage systems, such as data warehouses or data lakes. Should have experience in building efficient, ETL/ELT processes using industry leading tools like AWS, AWS GLUE, AWS Lambda, AWS DMS, PySpark, SQL, Python, DBT, Prefect, Snowflake, etc. Design, implement, and maintain data pipelines for data ingestion, processing, and transformation in AWS. Work together with data scientists and analysts to understand the needs for data and create effective data workflows. Implementing data validation and cleansing procedures will ensure the quality, integrity, and dependability of the data. Improve the scalability, efficiency, and cost-effectiveness of data pipelines. Monitoring and troubleshooting data pipelines and resolving issues related to data processing, transformation, or storage. Implementing and maintaining data security and privacy measures, including access controls and encryption, to protect sensitive data Advanced working SQL knowledge and experience working with relational databases, query authoring (SQL) as well as working familiarity with a variety of databases Should have experience in Building and maintaining Data Governance solutions (Data Quality, Metadata management, Lineage, Master Data Management and Data security) using industry leading tools Scaling and optimizing schema and performance tuning SQL and ETL pipelines in data lake and data warehouse environments. Should have Hands-on experience with Data analytics tools like Informatica, Collibra, Hadoop, Spark, Snowflake etc. Should have Experience of ITIL processes like Incident management, Problem Management, Knowledge management, Release management, Data DevOps etc. Should have Strong communication, problem solving, quantitative and analytical abilities. Nice to have: AWS certification Managed Services- Data, Analytics & Insights Managed Service At PwC we relentlessly focus on working with our clients to bring the power of technology and humans together and create simple, yet powerful solutions. We imagine a day when our clients can simply focus on their business knowing that they have a trusted partner for their IT needs. Every day we are motivated and passionate about making our clients’ better. Within our Managed Services platform, PwC delivers integrated services and solutions that are grounded in deep industry experience and powered by the talent that you would expect from the PwC brand. The PwC Managed Services platform delivers scalable solutions that add greater value to our client’s enterprise through technology and human-enabled experiences. Our team of highly skilled and trained global professionals, combined with the use of the latest advancements in technology and process, allows us to provide effective and efficient outcomes. With PwC’s Managed Services our clients are able to focus on accelerating their priorities, including optimizing operations and accelerating outcomes. PwC brings a consultative first approach to operations, leveraging our deep industry insights combined with world class talent and assets to enable transformational journeys that drive sustained client outcomes. Our clients need flexible access to world class business and technology capabilities that keep pace with today’s dynamic business environment. Within our global, Managed Services platform, we provide Data, Analytics & Insights where we focus more so on the evolution of our clients’ Data and Analytics ecosystem. Our focus is to empower our clients to navigate and capture the value of their Data & Analytics portfolio while cost-effectively operating and protecting their solutions. We do this so that our clients can focus on what matters most to your business: accelerating growth that is dynamic, efficient and cost-effective. As a member of our Data, Analytics & Insights Managed Service team, we are looking for candidates who thrive working in a high-paced work environment capable of working on a mix of critical Data, Analytics & Insights offerings and engagement including help desk support, enhancement, and optimization work, as well as strategic roadmap and advisory level work. It will also be key to lend experience and effort in helping win and support customer engagements from not only a technical perspective, but also a relationship perspective. Kindly share your resume to deepa.radhakrishnan.nair@pwc.com Regards, Deepa Radhakrishnan

Role: Azure Data Engineer - Senior Associate Experience: 5.5 - 9.9 years Key Skills: Azure Educational Qualification: BE / B Tech / ME / M Tech / MBA Work Location: Bangalore Job Description As a Senior Associate, you will work as part of a team of problem solvers, helping to solve complex business issues from strategy to execution. PwC Professional skills and responsibilities for this management level include but are not limited to: Use feedback and reflection to develop self-awareness, personal strengths, and address development areas. Flexible to work in stretch opportunities/assignments. Demonstrate critical thinking and the ability to bring order to unstructured problems. Ticket Quality and deliverables review, Status Reporting for the project. Adherence to SLAs, experience in incident management, change management and problem management. Seek and embrace opportunities which give exposure to different situations, environments, and perspectives. Use straightforward communication, in a structured way, when influencing and connecting with others. Able to read situations and modify behavior to build quality relationships. Uphold the firm's code of ethics and business conduct. Demonstrate leadership capabilities by working, with clients directly and leading the engagement. Work in a team environment that includes client interactions, workstream management, and cross-team collaboration. Good team player, take up cross competency work and contribute to COE activities. Escalation/Risk management. Position Requirements: Required Skills: Azure Cloud Engineer: Job description: Candidate is expected to demonstrate extensive knowledge and/or a proven record of success in the following areas: Should have minimum 6 years hand on experience building advanced Data warehousing solutions on leading cloud platforms. Should have minimum 3-5 years of Operate/Managed Services/Production Support Experience Should have extensive experience in developing scalable, repeatable, and secure data structures and pipelines to ingest, store, collect, standardize, and integrate data that for downstream consumption like Business Intelligence systems, Analytics modelling, Data scientists etc. Designing and implementing data pipelines to extract, transform, and load (ETL) data from various sources into data storage systems, such as data warehouses or data lakes. Should have experience in building efficient, ETL/ELT processes using industry leading tools like Informatica, Talend, SSIS, AWS, Azure, Spark, SQL, Python etc. Should have Hands-on experience with Data analytics tools like Informatica, Collibra, Hadoop, Spark, Snowflake etc. Design, implement, and maintain data pipelines for data ingestion, processing, and transformation in Azure. Work together with data scientists and analysts to understand the needs for data and create effective data workflows. Create and maintain data storage solutions including Azure SQL Database, Azure Data Lake, and Azure Blob Storage. Utilizing Azure Data Factory or comparable technologies, create and maintain ETL (Extract, Transform, Load) operations. Perform data transformation and processing tasks to prepare the data for analysis and reporting in Azure Databricks or Azure Synapse Analytics for large-scale data transformations using tools like Apache Spark. Implementing data validation and cleansing procedures will ensure the quality, integrity, and dependability of the data. Improve the scalability, efficiency, and cost-effectiveness of data pipelines. Monitoring and troubleshooting data pipelines and resolving issues related to data processing, transformation, or storage. Implementing and maintaining data security and privacy measures, including access controls and encryption, to protect sensitive data Advanced working SQL knowledge and experience working with relational databases, query authoring (SQL) as well as working familiarity with a variety of databases Should have experience in Building and maintaining Data Governance solutions (Data Quality, Metadata management, Lineage, Master Data Management and Data security) using industry leading tools Scaling and optimizing schema and performance tuning SQL and ETL pipelines in data lake and data warehouse environments. Should have Hands-on experience with Data analytics tools like databricks Should have Experience of ITIL processes like Incident management, Problem Management, Knowledge management, Release management, Data DevOps etc. Should have Strong communication, problem solving, quantitative and analytical abilities. Nice to have: Azure certification Managed Services- Data, Analytics & Insights Managed Service At PwC we relentlessly focus on working with our clients to bring the power of technology and humans together and create simple, yet powerful solutions. We imagine a day when our clients can simply focus on their business knowing that they have a trusted partner for their IT needs. Every day we are motivated and passionate about making our clients’ better. Within our Managed Services platform, PwC delivers integrated services and solutions that are grounded in deep industry experience and powered by the talent that you would expect from the PwC brand. The PwC Managed Services platform delivers scalable solutions that add greater value to our client’s enterprise through technology and human-enabled experiences. Our team of highly skilled and trained global professionals, combined with the use of the latest advancements in technology and process, allows us to provide effective and efficient outcomes. With PwC’s Managed Services our clients are able to focus on accelerating their priorities, including optimizing operations and accelerating outcomes. PwC brings a consultative first approach to operations, leveraging our deep industry insights combined with world class talent and assets to enable transformational journeys that drive sustained client outcomes. Our clients need flexible access to world class business and technology capabilities that keep pace with today’s dynamic business environment. Within our global, Managed Services platform, we provide Data, Analytics & Insights where we focus more so on the evolution of our clients’ Data and Analytics ecosystem. Our focus is to empower our clients to navigate and capture the value of their Data & Analytics portfolio while cost-effectively operating and protecting their solutions. We do this so that our clients can focus on what matters most to your business: accelerating growth that is dynamic, efficient and cost-effective. As a member of our Data, Analytics & Insights Managed Service team, we are looking for candidates who thrive working in a high-paced work environment capable of working on a mix of critical Data, Analytics & Insights offerings and engagement including help desk support, enhancement, and optimization work, as well as strategic roadmap and advisory level work. It will also be key to lend experience and effort in helping win and support customer engagements from not only a technical perspective, but also a relationship perspective.