1411 Data Governance Jobs - Page 26

Loction :Mumbai Job Description: Looking for Candidates with 8 to 10 years of experience Hands on experience of implementing data pipelines using traditional DWH, Big data & Cloud ecosystem Good exposure to data architecture design, cost and size estimation Good understanding of handling Realtime/streaming pipelines Have experience of Data Quality and Data Governance Have experience of handling & interacting clients and managing vendors Having knowledge on AI/ML, GenAI is a plus Exposure of managing and leading teams

Role & responsibilities Collaborate with stakeholders to enhance Issuer Services' data management framework. Define and promote data principles, standards, and best practices. Represent the Data Office in enterprise-wide data initiatives. Identify key data attributes and implement quality controls. Support data governance tools, processes, and continuous improvement. Provide guidance on data governance issues and resolutions. Work with business and tech teams on analysis, documentation, and data roadmaps. Evaluate and recommend objectives to advance data management services. Preferred candidate profile Strong stakeholder, team, and project management skills. Experienced in Agile (scrum, sprint planning, backlog refinement). Solid background in data governance, management, and best practices. Skilled in enterprise data processes, database, and schema design. Excellent communication, problem-solving, and leadership abilities. Tools: Collibra, Solidatus, Excel; large data sets. Domain experience in banking/financial services, especially issuer services.

Dear Candidate, We are hiring a Data Quality Analyst to ensure the accuracy, integrity, and consistency of enterprise data assets. This role supports data-driven decision-making through validation, profiling, and quality improvement initiatives. Key Responsibilities: Monitor, measure, and report on data quality metrics. Identify data anomalies and work with teams to resolve issues. Perform data profiling and root cause analysis. Design and execute data validation tests and quality rules. Collaborate with data stewards, engineers, and business teams. Required Skills & Qualifications: Strong SQL skills and experience with data profiling tools. Familiarity with data governance and MDM concepts. Experience with ETL processes and reporting platforms. Analytical mindset with attention to detail. Knowledge of tools like Talend, Informatica, or Collibra is a plus. Note: If interested, please share your updated resume and preferred time for a discussion. If shortlisted, our HR team will contact you. Kandi Srinivasa Delivery Manager Integra Technologies

Skill : Salesforce Developer/ Lead Experience: 3 Years - 12 Years Location : Kochi Job Summary The Sr. Developer role is crucial for driving technical excellence within our Salesforce platform. With a hybrid work model and day shift the candidate will leverage their extensive experience to enhance data governance practices. This position does not require travel ensuring focus on delivering impactful solutions. Responsibilities Develop and implement Salesforce solutions that align with business objectives and enhance operational efficiency. Collaborate with cross-functional teams to gather requirements and translate them into technical specifications. Ensure the integrity and security of data within the Salesforce platform adhering to best practices in data governance. Optimize Salesforce functionalities to improve user experience and streamline business processes. Troubleshoot and resolve technical issues promptly to minimize downtime and maintain system reliability. Provide technical guidance and mentorship to junior developers fostering a culture of continuous learning and improvement. Conduct regular system audits to ensure compliance with organizational standards and industry regulations. Stay updated with the latest Salesforce features and technologies to drive innovation and competitive advantage. Design and execute test plans to validate system performance and functionality. Implement automation strategies to reduce manual tasks and increase productivity. Collaborate with stakeholders to identify opportunities for system enhancements and process improvements. Document technical specifications and system configurations for future reference and training purposes. Monitor system performance and make necessary adjustments to optimize resource utilization. Qualifications Possess a strong background in Salesforce development with proven expertise in customizing and configuring the platform. Demonstrate proficiency in Apex Visualforce and Lightning components to create robust and scalable solutions. Exhibit knowledge of data governance principles and practices contributing to effective data management strategies. Have experience in integrating Salesforce with other enterprise systems ensuring seamless data flow and interoperability. Show capability in developing and executing test plans to ensure system reliability and performance. Display excellent problem-solving skills with the ability to troubleshoot complex technical issues efficiently. Maintain a proactive approach to learning staying abreast of industry trends and emerging technologies. Certifications Required Salesforce Certified Platform Developer I Salesforce Certified Administrator

Job Summary The Sr. Developer role is crucial for driving technical excellence within our Salesforce platform. With a hybrid work model and day shift the candidate will leverage their extensive experience to enhance data governance practices. This position does not require travel ensuring focus on delivering impactful solutions. Responsibilities Develop and implement Salesforce solutions that align with business objectives and enhance operational efficiency. Collaborate with cross-functional teams to gather requirements and translate them into technical specifications. Ensure the integrity and security of data within the Salesforce platform adhering to best practices in data governance. Optimize Salesforce functionalities to improve user experience and streamline business processes. Troubleshoot and resolve technical issues promptly to minimize downtime and maintain system reliability. Provide technical guidance and mentorship to junior developers fostering a culture of continuous learning and improvement. Conduct regular system audits to ensure compliance with organizational standards and industry regulations. Stay updated with the latest Salesforce features and technologies to drive innovation and competitive advantage. Design and execute test plans to validate system performance and functionality. Implement automation strategies to reduce manual tasks and increase productivity. Collaborate with stakeholders to identify opportunities for system enhancements and process improvements. Document technical specifications and system configurations for future reference and training purposes. Monitor system performance and make necessary adjustments to optimize resource utilization. Qualifications Possess a strong background in Salesforce development with proven expertise in customizing and configuring the platform. Demonstrate proficiency in Apex Visualforce and Lightning components to create robust and scalable solutions. Exhibit knowledge of data governance principles and practices contributing to effective data management strategies. Have experience in integrating Salesforce with other enterprise systems ensuring seamless data flow and interoperability. Show capability in developing and executing test plans to ensure system reliability and performance. Display excellent problem-solving skills with the ability to troubleshoot complex technical issues efficiently. Maintain a proactive approach to learning staying abreast of industry trends and emerging technologies. Certifications Required Salesforce Certified Platform Developer I Salesforce Certified Administrator

Role & responsibilities Shape technical strategy (e.g., build vs. buy decisions, technical road-mapping) in collaboration with architects Evaluate and identify appropriate technology stacks, platforms and vendors, including web application frameworks and cloud providers for solution development Attend team ceremonies as required; in particular, feature refinement and cross-team iteration reviews/demos Drive the resolution of technical impediments Own the 'success' of foundational enablers Champion for Research and Innovation Lead in scaled agile ceremonies and activities, like quarterly reviews, quarterly increment planning and OKR writing Collaborate with the Platform Owner in the writing and prioritization of technical capabilities and enablers Present platform delivery metrics, OKR health and platform finance status to Executive audiences Collaborate with other Technical Leads Create and maintain the technical roadmap for in-scope products and services at the platform. Preferred candidate profile Total work experience 15-22 years B.E. / B.Tech or equivalent Engineering professional Masters degree or equivalent experience in Marketing, Business or finance is an added advantage 10+ yrs. of experience in technical architecture, solution design, and platform engineering Strong experience in MDM, Data Quality and Data Governance practices including tool stack such as Informatica MDM SaaS, Informatica Data Quality, and Collibra is a plus Good experience with major cloud platforms and data tools in cloud including but not limited to AWS, Microsoft Azure, Kafka, CDC, Tableau, and Data virtualization tools Good experience in ETL and BI solution development and tool stack Informatica ETL experience is a plus Good experience in Data Architecture, SQL, NoSQL, REST API, data security, and AI concepts Familiarity with agile methodologies and data factory operations processes including usage of tools like confluence, Jira and Miro Strong knowledge of industry standards and regulations: A data platform owner should have knowledge of industry standards and regulations related to data management, such as HIPAA, PCI-DSS, and GDPR.

About The Role Role The purpose of this role is to provide strategic guidance and recommendations on pricing of contracts being executed in the assigned SBU while maintaining the competitive advantage and profit margins. Responsible for ensuring the SoW adherence to internal guidelines of all contracts in the SBU. ? Do - Contract pricing review and advise - Pricing strategy deployment - Drive the deployment of pricing strategy for the SBU/ Vertical / Account in line with the overall pricing strategy for Wipro - Partner and educate the Business Leaders about adherence to the pricing strategy, internal guidelines and SoW. - Business partnering for advice on contract commercials - Work closely with pre-sales and BU leadership to review the contracts about to be finalized and provide inputs on its structuring, payment milestones and terms & conditions - Review the Resources Loading Sheet (RLS)) submitted by pre-sales / delivery team and work on the contract pricing - Collaborate with the business leaders to propose a competitive pricing basis the effort estimate by considering the cost of resources, skills availability and identified premium skills - Review adherence of contract's commercial terms and conditions - Review the commercial terms and conditions proposed in the SoW - Ensure they are aligned with internal guidelines for credit period and the existing MSAs and recommend payment milestones - Ensure accurate revenue recognition and provide forecast - Implement and drive adherence to revenue recognition guidelines - Ensure revenue recognition by the BFMs / Service Line Finance Manage are done as per the IFRS standards - Partner with Finance Managers and educate them on revenue recognition standards and internal guidelines of Wipro - Provide accurate and timely forecast of revenue for the assigned SBU/ Vertical / Cluster / Accounts - Validation of order booking - Adherence to order booking guidelines - Oversee and ensure all documents, approvals and guidelines are adhered before the order is confirmed in the books of accounts - Highlight any deviations to the internal guidelines / standards and work with the concerned teams to address the deviations - Team Management - Team Management - Clearly define the expectations for the team - Assign goals for the team, conduct timely performance reviews and provide constructive feedback to own direct reports - Guide the team members in acquiring relevant knowledge and develop their professional competence - Educate and build awareness in the team in Wipro guidelines on revenue recognition, pricing strategy, contract terms and MSA - Ensure that the Performance Nxt is followed for the entire team - Employee Satisfaction and Engagement - Lead and drive engagement initiatives for the team - Track team satisfaction scores and identify initiatives to build engagement within the team ? Deliver 1. Financials Monetizing Wipro's efforts and value additions Comprehensiveness of pricing recommendations Accurate inputs in forecasting of revenue as per revenue recognition guidelines 2. Internal Customer Completeness of contracts checklist before order booking 3. Team Management Team attrition %, Employee satisfaction score, localization %, gender diversity % Training and skill building of team on pricing operations ? ? Mandatory Skills: Data Governance. Experience5-8 Years. Reinvent your world. We are building a modern Wipro. We are an end-to-end digital transformation partner with the boldest ambitions. To realize them, we need people inspired by reinvention. Of yourself, your career, and your skills. We want to see the constant evolution of our business and our industry. It has always been in our DNA - as the world around us changes, so do we. Join a business powered by purpose and a place that empowers you to design your own reinvention. Come to Wipro. Realize your ambitions. Applications from people with disabilities are explicitly welcome.

Wipro Limited (NYSE:WIT, BSE:507685, NSE:WIPRO) is a leading technology services and consulting company focused on building innovative solutions that address clients most complex digital transformation needs. Leveraging our holistic portfolio of capabilities in consulting, design, engineering, and operations, we help clients realize their boldest ambitions and build future-ready, sustainable businesses. With over 230,000 employees and business partners across 65 countries, we deliver on the promise of helping our customers, colleagues, and communities thrive in an ever-changing world. For additional information, visit us at www.wipro.com. About The Role : Role Purpose The purpose of the role is to define and develop Enterprise Data Structure along with Data Warehouse, Master Data, Integration and transaction processing with maintaining and strengthening the modelling standards and business information. Do 1. Define and Develop Data Architecture that aids organization and clients in new/ existing deals a. Partnering with business leadership (adopting the rationalization of the data value chain) to provide strategic, information-based recommendations to maximize the value of data and information assets, and protect the organization from disruptions while also embracing innovation b. Assess the benefits and risks of data by using tools such as business capability models to create an data-centric view to quickly visualize what data matters most to the organization, based on the defined business strategy c. Create data strategy and road maps for the Reference Data Architecture as required by the clients d. Engage all the stakeholders to implement data governance models and ensure that the implementation is done based on every change request e. Ensure that the data storage and database technologies are supported by the data management and infrastructure of the enterprise f. Develop, communicate, support and monitor compliance with Data Modelling standards g. Oversee and monitor all frameworks to manage data across organization h. Provide insights for database storage and platform for ease of use and least manual work i. Collaborate with vendors to ensure integrity, objectives and system configuration j. Collaborate with functional & technical teams and clients to understand the implications of data architecture and maximize the value of information across the organization k. Presenting data repository, objects, source systems along with data scenarios for the front end and back end usage l. Define high-level data migration plans to transition the data from source to target system/ application addressing the gaps between the current and future state, typically in sync with the IT budgeting or other capital planning processes m. Knowledge of all the Data service provider platforms and ensure end to end view. n. Oversight all the data standards/ reference/ papers for proper governance o. Promote, guard and guide the organization towards common semantics and the proper use of metadata p. Collecting, aggregating, matching, consolidating, quality-assuring, persisting and distributing such data throughout an organization to ensure a common understanding, consistency, accuracy and control q. Provide solution of RFPs received from clients and ensure overall implementation assurance i. Develop a direction to manage the portfolio of all the databases including systems, shared infrastructure services in order to better match business outcome objectives ii. Analyse technology environment, enterprise specifics, client requirements to set a collaboration solution for the big/small data iii. Provide technical leadership to the implementation of custom solutions through thoughtful use of modern technology iv. Define and understand current issues and problems and identify improvements v. Evaluate and recommend solutions to integrate with overall technology ecosystem keeping consistency throughout vi. Understand the root cause problem in integrating business and product units vii. Validate the solution/ prototype from technology, cost structure and customer differentiation point of view viii. Collaborating with sales and delivery leadership teams to identify future needs and requirements ix. Tracks industry and application trends and relates these to planning current and future IT needs 2. Building enterprise technology environment for data architecture management a. Develop, maintain and implement standard patterns for data layers, data stores, data hub & lake and data management processes b. Evaluate all the implemented systems to determine their viability in terms of cost effectiveness c. Collect all the structural and non-structural data from different places integrate all the data in one database form d. Work through every stage of data processing:analysing, creating, physical data model designs, solutions and reports e. Build the enterprise conceptual and logical data models for analytics, operational and data mart structures in accordance with industry best practices f. Implement the best security practices across all the data bases based on the accessibility and technology g. Strong understanding of activities within primary discipline such as Master Data Management (MDM), Metadata Management and Data Governance (DG) h. Demonstrate strong experience in Conceptual, Logical and physical database architectures, design patterns, best practices and programming techniques around relational data modelling and data integration 3. Enable Delivery Teams by providing optimal delivery solutions/ frameworks a. Build and maintain relationships with delivery and practice leadership teams and other key stakeholders to become a trusted advisor b. Define database physical structure, functional capabilities, security, back-up and recovery specifications c. Develops and establishes relevant technical, business process and overall support metrics (KPI/SLA) to drive results d. Monitor system capabilities and performance by performing tests and configurations e. Integrate new solutions and troubleshoot previously occurred errors f. Manages multiple projects and accurately reports the status of all major assignments while adhering to all project management standards g. Identify technical, process, structural risks and prepare a risk mitigation plan for all the projects h. Ensure quality assurance of all the architecture or design decisions and provides technical mitigation support to the delivery teams i. Recommend tools for reuse, automation for improved productivity and reduced cycle times j. Help the support and integration team for better efficiency and client experience for ease of use by using AI methods. k. Develops trust and builds effective working relationships through respectful, collaborative engagement across individual product teams l. Ensures architecture principles and standards are consistently applied to all the projects m. Ensure optimal Client Engagement i. Support pre-sales team while presenting the entire solution design and its principles to the client ii. Negotiate, manage and coordinate with the client teams to ensure all requirements are met iii. Demonstrate thought leadership with strong technical capability in front of the client to win the confidence and act as a trusted advisor Reinvent your world.We are building a modern Wipro. We are an end-to-end digital transformation partner with the boldest ambitions. To realize them, we need people inspired by reinvention. Of yourself, your career, and your skills. We want to see the constant evolution of our business and our industry. It has always been in our DNA - as the world around us changes, so do we. Join a business powered by purpose and a place that empowers you to design your own reinvention. Come to Wipro. Realize your ambitions. Applications from people with disabilities are explicitly welcome.

About The Role : Job Title:Sr. Analyst Location:Gurgaon, India About The Role :: Candidates will gain exposure to a wide range of industries and investment structures. As a result of the breadth of the experience, candidates will develop a unique understanding of companies, capital structures, and credit markets. Responsibilities: Analyzing investment guidelines and interpret them to build logic-based rules to implement into automated investment compliance system for monitoring. Deliver daily/monthly/quarterly compliance reports to PM team for the new violations across all investment policies. Support onshore team by assisting them in post trade compliance monitoring activities across all the investment strategies. Assist in identifying the data governance and data reconciliation issues. Must be good with people management skills, must have on papers experience Qualifications: Bachelors degree with a preference to advanced degree or progression towards CFA/FRM/CAIA 4-6 years of relevant experience in investment compliance monitoring with an exposure towards rule coding. Knowledge of guideline monitoring or coding in compliance systems e.g., Charles River, Bloomberg, LZ Sentinel, Aladdin or Clearwater Analytics would be an added advantage. Good to have experience in querying database and analyzing large data sets Deliver NoPerformance ParameterMeasure1ProcessNo. of cases resolved per day, compliance to process and quality standards, meeting process level SLAs, Pulse score, Customer feedback2Self- ManagementProductivity, efficiency, absenteeism, Training Hours, No of technical training completed

Wipro Limited (NYSEWIT, BSE507685, NSEWIPRO) is a leading technology services and consulting company focused on building innovative solutions that address clients’ most complex digital transformation needs. Leveraging our holistic portfolio of capabilities in consulting, design, engineering, and operations, we help clients realize their boldest ambitions and build future-ready, sustainable businesses. With over 230,000 employees and business partners across 65 countries, we deliver on the promise of helping our customers, colleagues, and communities thrive in an ever-changing world. For additional information, visit us at www.wipro.com. About The Role Timings 07 PM to 4.30 AM IST. The role also demands support to various process related project initiatives, Monthly MIS Reporting, stakeholder management, risk management, handling escalations, and addressing queries of Data Governance team. Working closely with Trade support Team for smooth flow of Transactions. Fund Master Data Management: Maintain and manage the fund master database, ensuring data integrity and accuracy. Collaborate with investment teams to gather and validate fund-related data. Implement processes for the onboarding and offboarding of funds. Data Quality ManagementExpertise in Data Quality processes and Reference Data Maintenance for Term Loans, Bonds, Equities, Derivatives, and Structured Products. Analytical ExcellenceConduct detailed analyses to ensure timely, accurate delivery within a compliant, "no error" framework. Application ProficiencyExperience with Reuters Eikon, Markit, Bloomberg, and familiarity with BlackRock Aladdin preferred. Corporate Structure KnowledgeUnderstanding of corporate structures and relationship between legal entities and parent issuers, and proficient in researching government registry database. Ratings Agency InsightKnowledge of ratings agencies and their relevance to financial products, especially Term Loans. Client InteractionCollaborate with clients and onshore teams to gather requirements and identify process improvements. Operational SupportAssist Middle and Back Office operations, ensuring efficient and accurate task completion. Qualifications: Bachelor’s degree in Finance. Proven experience in data governance, data management, or fund administration. Strong understanding of data quality principles and data governance frameworks. Familiarity with regulatory requirements in the financial services industry. Excellent analytical, problem-solving, and communication skills. Proficiency in data management tools and software (e.g., SQL, data visualization tools,Excel). Ability to work collaboratively in a team-oriented environment. Preferred Skills: Experience with fund accounting or investment management systems. ? Deliver NoPerformance ParameterMeasure1ProcessNo. of cases resolved per day, compliance to process and quality standards, meeting process level SLAs, Pulse score, Customer feedback2Self- ManagementProductivity, efficiency, absenteeism, Training Hours, No of technical training completed Reinvent your world.We are building a modern Wipro. We are an end-to-end digital transformation partner with the boldest ambitions. To realize them, we need people inspired by reinvention. Of yourself, your career, and your skills. We want to see the constant evolution of our business and our industry. It has always been in our DNA - as the world around us changes, so do we. Join a business powered by purpose and a place that empowers you to design your own reinvention. Come to Wipro. Realize your ambitions. Applications from people with disabilities are explicitly welcome.

Job : Data Governance/Data Management About Us Capco, a Wipro company, is a global technology and management consulting firm. Awarded with Consultancy of the year in the British Bank Award and has been ranked Top 100 Best Companies for Women in India 2022 by Avtar & Seramount . With our presence across 32 cities across globe, we support 100+ clients across banking, financial and Energy sectors. We are recognized for our deep transformation execution and delivery. WHY JOIN CAPCO? You will work on engaging projects with the largest international and local banks, insurance companies, payment service providers and other key players in the industry. The projects that will transform the financial services industry. MAKE AN IMPACT Innovative thinking, delivery excellence and thought leadership to help our clients transform their business. Together with our clients and industry partners, we deliver disruptive work that is changing energy and financial services. #BEYOURSELFATWORK Capco has a tolerant, open culture that values diversity, inclusivity, and creativity. CAREER ADVANCEMENT With no forced hierarchy at Capco, everyone has the opportunity to grow as we grow, taking their career into their own hands. DIVERSITY & INCLUSION We believe that diversity of people and perspective gives us a competitive advantage. Job : Data Governance/Data Management Location - Bangalore Exp - 4+ years Key Skills : Data Governance/Data Management (Mandatory) , Collibra / Informatica IDQ Domain : BFSI Responsibilities : Support the business in driving Data Governance principles according to the regulatory reporting requirements like BCBS 239 / CCAR /Liquidity. Work with the Business Owners to identify and understand data used for a business process and create a Business Glossary and Metadata in Collibra. Work with Data Architecture team to identify and document the physical data elements in order to build data quality controls. Document data lineage for a business concept. Issue Management related to Data Quality controls / Data Lineage / Data policies and procedures Role Requirements: Understanding/ experience of Collibra or other data governance tools. Working experience in a Data Governance role. Understanding of banking regulation's risk and controls. Example BCBS 239 / CCAR / GDPR / Liquidity

Job Description: We are looking for a Master Data Management (MDM) specialist with an experience of 3-4 years for SAP Public Cloud, particularly with expertise in Materials Management (MM) and Sales & Distribution (SD), is responsible for ensuring data accuracy, consistency, and governance within the SAP system. The role include creation of master data on regular basis as a part of operations management. This includes developing MDM strategies, defining data standards, and implementing data governance frameworks. They also work with various departments to maintain data quality and provide expertise in SAP MDM, ensuring end-users are properly trained and supported. Responsibilities Master Data Entry and Updation: To create and manage the master data for SAP Public Cloud on regular basis for effective operations running. This includes Item Creation, Customer Creation, Vendor Creation, Tax Code allocation, Plant related parameters, GL Etc. Data Management Strategy: Develop and implement MDM strategies and policies to ensure data integrity and consistency across the SAP Public Cloud environment. Data Governance: Design and execute data governance frameworks to maintain high data quality, focusing on accuracy, completeness, and timeliness Data Standardization: Collaborate with business units to define master data requirements and standards, ensuring consistency across all master data domains (e.g., materials, customers, products). Data Quality Monitoring: Monitor and audit master data to identify and resolve discrepancies, ensuring the accuracy and reliability of business-critical data Training and Support: Train and support end-users on MDM processes and best practices, promoting a culture of data accuracy and consistency Data Consolidation: Ensure the creation of a single, trusted source of truth for master data, integrating data from various SAP and third-party sources. MM/SD Expertise: Possess a deep understanding of Materials Management and Sales & Distribution modules within SAP, including specific master data requirements and best practices. Qualifications A graduate from reupted institute with Extensive experience with SAP systems, particularly in MM and SD modules, and a strong understanding of SAP Public Cloud. Data Management Skills: Strong understanding of data management principles, including data governance, data quality, and data integration. Collaboration Skills: Ability to effectively collaborate with business users and IT teams to define and implement MDM strategies and processes. Analytical Skills: Strong analytical skills to identify data issues, evaluate data quality, and recommend solutions. Also perform Reconciliations. Communication Skills: Excellent communication skills to effectively train end-users and communicate MDM strategies and processes. Problem-Solving Skills: Strong problem-solving skills to identify and resolve data discrepancies and ensure data accuracy. Location: Coimbatore, Tamilnadu, India Type: Full Time

Job Description As a Data Engineer, your role is to spearhead the data engineering teams and elevate the team to the next level! You will be responsible for laying out the architecture of the new project as well as selecting the tech stack associated with it. You will plan out the development cycles deploying AGILE if possible and create the foundations for good data stewardship with our new data products! You will also set up a solid code framework that needs to be built to purpose yet have enough flexibility to adapt to new business use cases tough but rewarding challenge! Responsibilities Collaborate with several stakeholders to deeply understand the needs of data practitioners to deliver at scale Lead Data Engineers to define, build and maintain Data Platform Work on building Data Lake in Azure Fabric processing data from multiple sources Migrating existing data store from Azure Synapse to Azure Fabric Implement data governance and access control Drive development effort End-to-End for on-time delivery of high-quality solutions that conform to requirements, conform to the architectural vision, and comply with all applicable standards. Present technical solutions, capabilities, considerations, and features in business terms. Effectively communicate status, issues, and risks in a precise and timely manner. Further develop critical initiatives, such as Data Discovery, Data Lineage and Data Quality Leading team and Mentor junior resources Help your team members grow in their role and achieve their career aspirations Build data systems, pipelines, analytical tools and programs Conduct complex data analysis and report on results Qualifications 3+ Years of Experience as a data engineer or similar role in Azure Synapses, ADF or relevant exp in Azure Fabric Degree in Computer Science, Data Science, Mathematics, IT, or similar fiel

Job Description As a Sr Data Engineer, your role is to spearhead the data engineering teams and elevate the team to the next level! You will be responsible for laying out the architecture of the new project as well as selecting the tech stack associated with it. You will plan out the development cycles deploying AGILE if possible and create the foundations for good data stewardship with our new data products! You will also set up a solid code framework that needs to be built to purpose yet have enough flexibility to adapt to new business use cases tough but rewarding challenge! Responsibilities Collaborate with several stakeholders to deeply understand the needs of data practitioners to deliver at scale Lead Data Engineers to define, build and maintain Data Platform Work on building Data Lake in Azure Fabric processing data from multiple sources Migrating existing data store from Azure Synapse to Azure Fabric Implement data governance and access control Drive development effort End-to-End for on-time delivery of high-quality solutions that conform to requirements, conform to the architectural vision, and comply with all applicable standards. Present technical solutions, capabilities, considerations, and features in business terms. Effectively communicate status, issues, and risks in a precise and timely manner. Further develop critical initiatives, such as Data Discovery, Data Lineage and Data Quality Leading team and Mentor junior resources Help your team members grow in their role and achieve their career aspirations Build data systems, pipelines, analytical tools and programs Conduct complex data analysis and report on results Qualifications 7+ Years of Experience as a data engineer or similar role in Azure Synapses, ADF or relevant exp in Azure Fabric Degree in Computer Science, Data Science, Mathematics, IT, or similar fiel

Data Engineer (Azure) Jobs | 7+ years | Coimbatore, Tamil Nadu(Full-time) Job Description Purpose: IT applications (Implementation and support): The employee should be able to develop ETL pipelines, data visualizations and analysis. Minimum Qualifications and Knowledge: Bachelor s degree in computer science or information technologies. Minimum Experience: 8+ years in Data Engineering (design, model and building ETL pipelines, data/lake house design and development) 4+ years in Python and Spark (strong knowledge in PySpark, Pandas, Numpy) 4+ year in Azure Data Factory and Databricks (strong Performance Optimization skills) 8+ years in SQL Job-Specific Skills: Self-motivated and committed to quality. Interpersonal and analytical skills. Problem solving skills. Excellent organization skills. Required for 6-months, with the possibility of renewal based on project requirements Finance industry working experience is preferred (Insurance background is 01st preference). Candidates currently working in any region is fine ( Abu Dhabi/India) Application Development: Data modelling, development and deployment of end-to-end data analytics solutions in cloud environment - Azure. Data processing including big data processing, integration, data modelling in line with the concepts of lake house medallion architecture. Experience performing root cause analysis on internal and external data and processes to answer specific business questions and identify opportunities for improvement. Collaborate with vendor to create pipelines for Open Insurance project for four Line of Business Motor, Home, Medical & Travel Create robust data models, data catalogue & data mesh architecture for selfservice analytics, facilitating user-friendly data exploration and reporting. Data Governance - Ensure data quality, security, discoverability Application Support: Maintain and execute performance tuning and data quality fixes. Required Knowledge, Skills, and Abilities https://www.tebs.com Whom we are looking for p Purpose: br IT applications (Implementation and support): The employee should be able to develop ETL pipelines, data visualizations and analysis. br /p p Minimum Qualifications and Knowledge: br Bachelor s degree in computer science or information technologies. br Minimum Experience: br 8+ years in Data Engineering (design, model and building ETL pipelines, data/lake house design and development) br 4+ years in Python and Spark (strong knowledge in PySpark, Pandas, Numpy) br 4+ year in Azure Data Factory and Databricks (strong Performance Optimization skills) br 8+ years in SQL br Job-Specific Skills: br Self-motivated and committed to quality. Interpersonal and analytical skills. br Problem solving skills. br Excellent organization skills. br Required for 6-months, with the possibility of renewal based on project requirements br Finance industry working experience is preferred (Insurance background is 01st preference). br Candidates currently working in any region is fine ( Abu Dhabi/India) br /P p Application Development: br Data modelling, development and deployment of end-to-end data analytics solutions in cloud environment - Azure. br Data processing including big data processing, integration, data modelling in line with the concepts of lake house medallion architecture. br Experience performing root cause analysis on internal and external data and processes to answer specific business questions and identify opportunities for improvement. br Collaborate with vendor to create pipelines for Open Insurance project for four Line of Business Motor, Home, Medical & Travel br Create robust data models, data catalogue & data mesh architecture for selfservice analytics, facilitating user-friendly data exploration and reporting. br Data Governance - Ensure data quality, security, discoverability br /p p Application Support: br Maintain and execute performance tuning and data quality fixes. br /p

Job Description We are looking for an experienced and hands-on Snowflake Architect to lead and expand our data engineering capabilities. This role is ideal for a technically strong leader who can design scalable data architectures, manage a high-performing team, and collaborate cross-functionally to deliver reliable and secure data solutions. Responsibilities: Design and implement robust Snowflake data warehouse architectures and ETL pipelines to support business intelligence and advanced analytics use cases. Lead and mentor a team of data engineers, ensuring high-quality and timely delivery of projects. Collaborate closely with data analysts, data scientists, and business stakeholders to understand data needs and design effective data models. Develop, document, and enforce best practices for Snowflake architecture, data modeling, performance optimization, and ETL processes. Own the optimization of Snowflake environments to ensure low-latency and high-availability data access. Drive process improvements, evaluate emerging tools, and continuously enhance our data engineering infrastructure. Ensure data pipelines are built with high levels of accuracy, completeness, and security, in compliance with data privacy regulations (GDPR, CCPA, etc.). Partner with cloud engineering and DevOps teams to integrate data solutions seamlessly within the AWS ecosystem. Participate in capacity planning, budgeting, and resource allocation for the data engineering function. Qualifications Bachelor s degree in Computer Science, Information Technology, or a related field. 9+ years of overall experience in cloud-based data engineering, with at least 4 years of hands-on

Our Company We re Hitachi Digital, a company at the forefront of digital transformation and the fastest growing division of Hitachi Group. We re crucial to the company s strategy and ambition to become a premier global player in the massive and fast-moving digital transformation market. Our group companies, including GlobalLogic, Hitachi Digital Services, Hitachi Vantara and more, offer comprehensive services that span the entire digital lifecycle, from initial idea to full-scale operation and the infrastructure to run it on. Hitachi Digital represents One Hitachi, integrating domain knowledge and digital capabilities, and harnessing the power of the entire portfolio of services, technologies, and partnerships, to accelerate synergy creation and make real-world impact for our customers and society as a whole. Imagine the sheer breadth of talent it takes to unleash a digital future. We don t expect you to fit every requirement - your life experience, character, perspective, and passion for achieving great things in the world are equally as important to us. The team Hitachi Digital is a leader in digital transformation, leveraging advanced AI and data technologies to drive innovation and efficiency across various operational companies (OpCos) and departments. For the unique role of Data and AI Governance Lead, we are seeking a highly experienced Leader, to ensure robust data governance and ethical AI practices; we are looking for someone who can build and foster cross-functional collaboration throughout the enterprise. The role In this role you will be working with various legal, technical, and business teams to communicate risk findings and drive informed decision-making. You will conduct comprehensive risk assessments of divisional data management and AI projects while recommending mitigation strategies; you will develop and maintain AI governance guidance, ensuring alignment across the organization considering industry standards and regulatory requirements. An important aspect of the role is to promote transparency, fairness, and accountability in AI practices, while closely collaborating with information security teams to advise data management practices and address AI-specific security risks. You will adhere to data and AI policies and standards, offering guidance as needed. Additionally, you will help develop enterprise training to raise awareness of data management and AI risks and best practices. What you ll bring Bachelors or Masters degree in Computer Science, Data Science, AI, or a related field. 10+ years of experience in data governance, AI governance, or related fields. Extensive experience with Google Cloud Platform (GCP), AI, Agentic AI, Large Language Models (LLMs), and AI chatbots. Strong understanding of data governance frameworks and tools. Proven experience in developing and implementing data and AI governance policies. Excellent problem-solving skills and the ability to work independently and as part of a team. Strong communication skills and the ability to convey complex technical concepts to non-technical stakeholders. Proven leadership skills and experience in guiding governance projects from conception to deployment. Experience managing data and AI governance in a multi-company ecosystem. Big 5 consulting experience in AI and data is a plus. Preferred Qualifications: Familiarity with industry standards and regulatory requirements for data and AI governance. Previous experience in a similar role within a tech-driven company. About us We re a global, 1000-strong, diverse team of professional experts, promoting and delivering Social Innovation through our One Hitachi initiative (OT x IT x Product) and working on projects that have a real-world impact. We re curious, passionate and empowered, blending our legacy of 110 years of innovation with our shaping our future. Here you re not just another employee; you re part of a tradition of excellence and a community working towards creating a digital future. #LI-MS3 Championing diversity, equity, and inclusion Diversity, equity, and inclusion (DEI) are integral to our culture and identity. Diverse thinking, a commitment to allyship, and a culture of empowerment help us achieve powerful results. We want you to be you, with all the ideas, lived experience, and fresh perspective that brings. We support your uniqueness and encourage people from all backgrounds to apply and realize their full potential as part of our team. How we look after you We help take care of your today and tomorrow with industry-leading benefits, support, and services that look after your holistic health and wellbeing. We re also champions of life balance and offer flexible arrangements that work for you (role and location dependent). We re always looking for new ways of working that bring out our best, which leads to unexpected ideas. So here, you ll experience a sense of belonging, and discover autonomy, freedom, and ownership as you work alongside talented people you enjoy sharing knowledge with. We re proud to say we re an equal opportunity employer and welcome all applicants for employment without attention to race, colour, religion, sex, sexual orientation, gender identity, national origin, veteran, age, disability status or any other protected characteristic. Should you need reasonable accommodations during the recruitment process, please let us know so that we can do our best to set you up for success.

About TELUS Digital TELUS Digital (NYSE and TSX: TIXT) designs, builds, and delivers next-generation digital solutions to enhance the customer experience (CX) for global and disruptive brands. The companys services support the full lifecycle of its clients digital transformation journeys and enable them to more quickly embrace next-generation digital technologies to deliver better business outcomes. TELUS Digitals integrated solutions and capabilities span digital strategy, innovation, consulting and design, digital transformation and IT lifecycle solutions, data annotation, and intelligent automation, and omnichannel CX solutions that include content moderation, trust and safety solutions, and other managed solutions. Fueling all stages of company growth, TELUS Digital partners with brands across high-growth industry verticals, including tech and games, communications and media, eCommerce and fintech, healthcare, and travel and hospitality. Learn more at: telusinternational.com. Position Overview: We have an ambitious Enterprise Data Office and are building a class-leading data team that works to solve complex business challenges and provide insights to improve our business and customer experience. To enhance the team, we are looking for an innovative and enterprising Data Governance Engineer who plays a critical role in shaping and implementing our enterprise- wide data governance and data management roadmap and strategy. The Data Governance Engineer will focus their work on 'data is an asset' thinking across the enterprise, integrating the Data Governance tools implementations of Collibra Data Intelligence Platform, Collibra Data Quality, Google Cloud Data Related Tools, and Informatica MDM/RDM. This person will work with internal partners and developers to brainstorm and evaluate technical solutions, product integration opportunities and demonstrations. This role requires creative thinking, a deep curiosity and understanding of data models and usage, as well as empathy for partner/client challenges and pain points. Essential Responsibilities:

As a Sr Data Engineer, your role is to spearhead the data engineering teams and elevate the team to the next level! You will be responsible for laying out the architecture of the new project as well as selecting the tech stack associated with it. You will plan out the development cycles deploying AGILE if possible and create the foundations for good data stewardship with our new data products! You will also set up a solid code framework that needs to be built to purpose yet have enough flexibility to adapt to new business use cases tough but rewarding challenge! Responsibilities Collaborate with several stakeholders to deeply understand the needs of data practitioners to deliver at scale Lead Data Engineers to define, build and maintain Data Platform Work on building Data Lake in Azure Fabric processing data from multiple sources Migrating existing data store from Azure Synapse to Azure Fabric Implement data governance and access control Drive development effort End-to-End for on-time delivery of high-quality solutions that conform to requirements, conform to the architectural vision, and comply with all applicable standards. Present technical solutions, capabilities, considerations, and features in business terms. Effectively communicate status, issues, and risks in a precise and timely manner. Further develop critical initiatives, such as Data Discovery, Data Lineage and Data Quality Leading team and Mentor junior resources Help your team members grow in their role and achieve their career aspirations Build data systems, pipelines, analytical tools and programs Conduct complex data analysis and report on results 7+ Years of Experience as a data engineer or similar role in Azure Synapses, ADF or relevant exp in Azure Fabric Degree in Computer Science, Data Science, Mathematics, IT, or similar field Must have experience e

As a Data Engineer, your role is to spearhead the data engineering teams and elevate the team to the next level! You will be responsible for laying out the architecture of the new project as well as selecting the tech stack associated with it. You will plan out the development cycles deploying AGILE if possible and create the foundations for good data stewardship with our new data products! You will also set up a solid code framework that needs to be built to purpose yet have enough flexibility to adapt to new business use cases tough but rewarding challenge! Responsibilities Collaborate with several stakeholders to deeply understand the needs of data practitioners to deliver at scale Lead Data Engineers to define, build and maintain Data Platform Work on building Data Lake in Azure Fabric processing data from multiple sources Migrating existing data store from Azure Synapse to Azure Fabric Implement data governance and access control Drive development effort End-to-End for on-time delivery of high-quality solutions that conform to requirements, conform to the architectural vision, and comply with all applicable standards. Present technical solutions, capabilities, considerations, and features in business terms. Effectively communicate status, issues, and risks in a precise and timely manner. Further develop critical initiatives, such as Data Discovery, Data Lineage and Data Quality Leading team and Mentor junior resources Help your team members grow in their role and achieve their career aspirations Build data systems, pipelines, analytical tools and programs Conduct complex data analysis and report on results 3+ Years of Experience as a data engineer or similar role in Azure Synapses, ADF or relevant exp in Azure Fabric Degree in Computer Science, Data Science, Mathematics, IT, or similar field Must have experience e

We are looking for an experienced and hands-on Snowflake Architect to lead and expand our data engineering capabilities. This role is ideal for a technically strong leader who can design scalable data architectures, manage a high-performing team, and collaborate cross-functionally to deliver reliable and secure data solutions. Responsibilities: Design and implement robust Snowflake data warehouse architectures and ETL pipelines to support business intelligence and advanced analytics use cases. Lead and mentor a team of data engineers, ensuring high-quality and timely delivery of projects. Collaborate closely with data analysts, data scientists, and business stakeholders to understand data needs and design effective data models. Develop, document, and enforce best practices for Snowflake architecture, data modeling, performance optimization, and ETL processes. Own the optimization of Snowflake environments to ensure low-latency and high-availability data access. Drive process improvements, evaluate emerging tools, and continuously enhance our data engineering infrastructure. Ensure data pipelines are built with high levels of accuracy, completeness, and security, in compliance with data privacy regulations (GDPR, CCPA, etc.). Partner with cloud engineering and DevOps teams to integrate data solutions seamlessly within the AWS ecosystem. Participate in capacity planning, budgeting, and resource allocation for the data engineering function. Bachelor s degree in Computer Science, Information Technology, or a related field. 9+ years of overall experience in cloud-based data engineering, with at least 4 years of hands-on experience in Snowflake.

We are looking for an experienced and hands-on Manager - Snowflake Data Engineering to lead and expand our data engineering capabilities. This role is ideal for a technically strong leader who can design scalable data architectures, manage a high-performing team, and collaborate cross-functionally to deliver reliable and secure data solutions. Responsibilities: Design and implement robust Snowflake data warehouse architectures and ETL pipelines to support business intelligence and advanced analytics use cases. Lead and mentor a team of data engineers, ensuring high-quality and timely delivery of projects. Collaborate closely with data analysts, data scientists, and business stakeholders to understand data needs and design effective data models. Develop, document, and enforce best practices for Snowflake architecture, data modeling, performance optimization, and ETL processes. Own the optimization of Snowflake environments to ensure low-latency and high-availability data access. Drive process improvements, evaluate emerging tools, and continuously enhance our data engineering infrastructure. Ensure data pipelines are built with high levels of accuracy, completeness, and security, in compliance with data privacy regulations (GDPR, CCPA, etc.). Partner with cloud engineering and DevOps teams to integrate data solutions seamlessly within the AWS ecosystem. Participate in capacity planning, budgeting, and resource allocation for the data engineering function. Bachelor s degree in Computer Science, Information Technology, or a related field. 9+ years of overall experience in cloud-based data engineering, with at least 4 years of hands-on experience in Snowflake.

We are seeking a highly skilled and experienced Ab Initio Lead with 10 years of hands-on experience in ETL development preferably Ab Initio. The ideal candidate should have strong technical expertise, leadership qualities, and the ability to guide teams and collaborate with cross-functional stakeholders. This role involves end-to-end ownership of data integration and ETL processes using Ab Initio tools. Lead the design, development, and implementation of complex ETL solutions using Ab Initio (GDE, EME, Co>Operating System, and related components). Work closely with business analysts, data architects, and stakeholders to gather requirements and translate them into scalable data pipelines. Optimize performance of ETL jobs and troubleshoot data issues in large-scale production environments. Lead a team of Ab Initio developers and ensure adherence to development standards and best practices. Manage code reviews, performance tuning, and deployment activities. Ensure high levels of data quality and integrity through effective testing and validation procedures. Work with DevOps and infrastructure teams to support deployments and release management. Required Skills: 10+ years of hands-on experience with Ab Initio development (GDE, EME, Conduct>It, Co>Operating System, Continuous Flows, etc.). Strong experience in data warehousing concepts and ETL design patterns. Expertise in performance tuning and handling large volumes of data. Knowledge of data modeling, data governance, and metadata management. Strong problem-solving and debugging skills. Excellent communication and stakeholder management skills. Ability to lead and mentor a team of developers effectively. Lead, Abinitio

Role Overview: We are looking for an experienced SAP Master Data Management (MDM) Lead to oversee the strategy, governance, and execution of master data processes within the SAP ecosystem. This role involves collaborating with cross-functional teams to ensure data accuracy, consistency, and compliance, enabling efficient business operations. Key Responsibilities: A unique opportunity, combining a high-end SAP landscape and very dynamic business areas is waiting for you. You are responsible for the management and optimization of our SAP Master Data processes across the organization. You bring SQL skills to own and improve our internal master data tool for quality checks. You work close together with the Process Owners to optimize the existing Data Governance strategy to ensure data accuracy, completeness, stewardship, consistency and accountability Manage and guide the SAP Master Data team to be recognized as a business partner promoting efficiency and enable profitable business growth Demonstrate ownership of data integration, maintenance, the workflow of the data as well as data quality Drive the IT system enhancements and new technologies to automate and improve efficiency of Master Data / Data Governance processes Stay up-to-date with industry trends and best practices in SAP Master Data Management, continuously seeking opportunities for process improvement and innovations What are we looking for Minimum Bachelors Degree in any stream with 7-10 years of experience in SAP Master Data Management, with a proven track record of successfully leading MDM initiatives. Strong knowledge and technical expertise of SAP Master Data Management tools, processes, and data governance principles. Ability to drive the SAP master data system enhancements and improvements based on latest technologies to automate and improve efficiency of master data / data governance processes. Excellent technical SQL skills to maintain and improve our internal data quality tool. Demonstrated leadership skills in guiding and mentoring a master data team. Ability to define project plans, allocate tasks, monitor progress, and ensure successful delivery of master data solutions. Excellent analytical and problem-solving skills, understand complex data models and business processes and have the ability to develop innovative solutions. Effective communication and interpersonal skills, with the ability to build relationships and influence stakeholders at all levels of the organization Manufacturing industry process know-how will be an advantage. Working Days: Monday to Saturday (2 Saturday off) Work Location: Gurgaon Please Note: Candidates from manufacturing set up or experience will be only considered.

Working as SME in data governance, metadata management and data catalog solutions, specifically on Collibra Data Governance. Client interface and consulting skills required Experience in Data Governance of wide variety of data types (structured, semi-structured and unstructured data) and wide variety of data sources (HDFS, S3, Kafka, Cassandra, Hive, HBase, Elastic Search) Partner with Data Stewards for requirements, integrations and processes, participate in meetings and working sessions Partner with Data Management and integration leads to improve Data Management technologies and processes. Working experience of Collibra operating model, workflow BPMN development, and how to integrate various applications or systems with Collibra Experience in setting up peoples roles, responsibilities and controls, data ownership, workflows and common processes Integrate Collibra with other enterprise toolsData Quality Tool, Data Catalog Tool, Master Data Management Solutions Develop and configure all Collibra customized workflows 10. Develop API (REST, SOAP) to expose the metadata functionalities to the end-users Location :Pan India