1949 Data Governance Jobs - Page 48

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:

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.

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

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.

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 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

InfoCepts is looking for Data Architect- Snowflake & DBT to join our dynamic team and embark on a rewarding career journey Design and Development: Create and implement data warehouse solutions using Snowflake, including data modeling, schema design, and ETL (Extract, Transform, Load) processes Performance Optimization: Optimize queries, performance-tune databases, and ensure efficient use of Snowflake resources for faster data retrieval and processing Data Integration: Integrate data from various sources, ensuring compatibility, consistency, and accuracy Security and Compliance: Implement security measures and ensure compliance with data governance and regulatory requirements, including access control and data encryption Monitoring and Maintenance: Monitor system performance, troubleshoot issues, and perform routine maintenance tasks to ensure system health and reliability Collaboration: Collaborate with other teams, such as data engineers, analysts, and business stakeholders, to understand requirements and deliver effective data solutions Skills and Qualifications:Snowflake Expertise: In-depth knowledge and hands-on experience working with Snowflake's architecture, features, and functionalities SQL and Database Skills: Proficiency in SQL querying and database management, with a strong understanding of relational databases and data warehousing concepts Data Modeling: Experience in designing and implementing effective data models for optimal performance and scalability ETL Tools and Processes: Familiarity with ETL tools and processes to extract, transform, and load data into Snowflake Performance Tuning: Ability to identify and resolve performance bottlenecks, optimize queries, and improve overall system performance Data Security and Compliance: Understanding of data security best practices, encryption methods, and compliance standards (such as GDPR, HIPAA, etc) Problem-Solving and Troubleshooting: Strong analytical and problem-solving skills to diagnose and resolve issues within the Snowflake environment Communication and Collaboration: Good communication skills to interact with cross-functional teams and effectively translate business requirements into technical solutions Scripting and Automation: Knowledge of scripting languages (like Python) and experience in automating processes within Snowflake

We are seeking a skilled Salesforce Administrator to manage and optimize Salesforce instance. The successful candidate will be responsible for configuring and maintaining the platform, integrating third-party applications, and translating business requirements into effective Salesforce solutions. This role requires collaboration with various stakeholders to ensure user adoption, data integrity, and system performance. Must Have Skillsets (Mandatory): - Salesforce Administration: Minimum 5+ years of experience managing Salesforce environments, including sandbox management. - User Management: Experience in user setup, roles, profiles, permissions, and public groups. - Configuration Changes: Proficient in implementing Salesforce configuration changes including Flow, custom objects, fields, dashboards, and reports; exposure to root cause analysis (RCA) for production issues. - Integration Experience: Familiarity with third-party applications such as DocuSign and Nintex Drawloop for document generation and automation. - Reporting and Analytics: Ability to design and implement complex reports and dashboards to provide business insights. - Data Management: Experience in data governance, cleansing, deduplication, and migration to maintain data integrity. - Communication Skills: Excellent written and verbal communication skills. - Salesforce Certifications: Admin Certification is mandatory; Advanced Admin and Developer certifications preferred. Good to Have Skillsets (Optional): - Experience with Additional Clouds: Hands-on experience with Sales Cloud, Service Cloud, or Marketing Cloud. - User Training: Ability to develop user training materials and conduct training sessions. - Proactive Improvement: A proactive attitude toward platform enhancements and best practice implementations. - Technical Solution Proposals: Skill in gathering requirements and proposing technical solutions. - Understanding of Security Models: Knowledge of Salesforce sharing rules, roles, and organization-wide defaults (OWD). Qualifications and Experience: - Education: bachelors degree in a related field preferred. - Experience Level: 1-2 years for junior roles; 5+ years for senior roles.

As a Data Architect, you'll design and optimize data architecture to ensure data is accurate, secure, and accessible. you'll collaborate across teams to shape the data strategy, implement governance, and promote best practices enabling the business to gain insights, innovate, and make data-driven decisions at scale. Your responsibilites Responsible for defining the enterprise data architecture which streamlines, standardises, and enhances accessibility of organisational data. Elicits data requirements from senior Business stakeholders and the broader IS function, translating their needs into conceptual, logical, and physical data models. Oversees the effective integration of data from various sources, ensuring data quality and consistency. Monitors and optimises data performance, collaborating with Data Integration and Product teams to deliver changes that improve data performance. Supports the Business, Data Integration Platforms team and wider IS management to define a data governance framework that sets out how data will be governed, accessed, and secured across the organisation; supports the operation of the data governance model as a subject matter advisor. Provides advisory to Data Platform teams in defining the Data Platform architecture, providing advisory on metadata, data integration, business intelligence, and data storage needs. Supports the Data Integration Platforms team, and other senior IS stakeholders to define a data vision and strategy, setting out how the organisation will exploit its data for maximum Business value. Builds and maintains a repository of data architecture artefacts (eg, data dictionary). What we're Looking For Proven track record in defining enterprise data architectures, data models, and database/data warehouse solutions. Evidenced ability to advise on the use of key data platform architectural components (eg, Azure Lakehouse, Data Bricks, etc) to deliver and optimise the enterprise data architecture. Experience in data integration technologies, real-time data ingestion, and API-based integrations. Experience in SQL and other database management systems. Strong problem-solving skills for interpreting complex data requirements and translating them into feasible data architecture solutions and models. Experience in supporting the definition of an enterprise data vision and strategy, advising on implications and/or uplifts required to the enterprise data architecture. Experience designing and establishing data governance models and data management practices, ensuring data is correct and secure whilst still being accessible, in line with regulations and wider organisational policies. Able to present complex data-related initiatives and issues to senior non-data conversant audiences. Proven experience working with AI and Machine Learning models preferred, but not essential. What We Can Offer You We support your growth within the role, department, and across the company through internal opportunities. We offer a hybrid working model, allowing you to combine remote work with the opportunity to connect with your team in modern, welcoming office spaces. We encourage continuous learning with access to online platforms (eg, LinkedIn Learning), language courses, soft skills training, and various we'llbeing initiatives, including workshops and webinars. Join a diverse and inclusive work environment where your ideas are valued and your contributions make a difference.

Minimum of 5 years experience as a software tester with proven experience in defining and leading QA cycles Strong experience with DBT (Data Build Tool) and writing/validating SQL models. Hands-on experience with Collibra for metadata management and data governance validation. Solid understanding of data warehousing concepts and ETL/ELT processes. Proficiency in SQL for data validation and transformation testing. Familiarity with version control tools like Git. Understanding of data governance, metadata, and data quality principles. Strong analytical and problem-solving skills with attention to detail.

Capgemini Invent Capgemini Invent is the digital innovation, consulting and transformation brand of the Capgemini Group, a global business line that combines market leading expertise in strategy, technology, data science and creative design, to help CxOs envision and build whats next for their businesses. Your Role Conduct comprehensive current state analysis of existing data systems, processes, and frameworks of an organization. Provide strategic recommendations and design target state for optimizing data-related processes, structures, and systems. Participate in Data Maturity assessments. Drive CXO conversations effectively. Lead and facilitate engagements in data governance, establishing policies, procedures, and frameworks to ensure metadata, master data, data quality, security, and compliance. Develop and define future state data architectures aligned with industry best practices and organizational needs. Collaborate closely with cross-functional teams and stakeholders to ensure seamless integration of data strategies with business objectives. Utilize expertise in cloud technologies e.g., GCP, Azure, and AWS, to guide and implement data strategies in cloud-based environments. Help in providing tools/technology advisory to customers by creating market scan reports, technology comparison frameworks and selection, creating technology architecture. Drive RFI/RFP and presales engagements. Lead and contribute to offerings development, provide thought leadership. Leverage industry knowledge to drive business discussions, identify industry wise data strategy challenges and provide industry specific best practices. Following industry experience is preferred Retail/CPG and Automobile. Ability to understand data and derive key performance indicators (KPIs) Your Profile Bachelors degree in computer science, Information Technology, or any related field. MBA from a tier 1 and tier 2 college preferred. Proven experience in advisory and consultancy roles focused on data strategy and architecture. At least 1 end to end consulting engagement experience. Proficiency in cloud technologies, particularly GCP, Azure, and AWS, with relevant certifications preferred. Experience in leading and managing data governance, data modeling, and operating model initiatives. Should be aware of latest tech trends in data and applications of advanced AI technologies across Industry sectors. Strong knowledge of DAMA and TOGAF frameworks and principles. Certifications preferred. What you will love about working here We recognize the significance of flexible work arrangements to provide support. Be it remote work, or flexible work hours, you will get an environment to maintain healthy work life balance. At the heart of our mission is your career growth. Our array of career growth programs and diverse professions are crafted to support you in exploring a world of opportunities. Equip yourself with valuable certifications in the latest technologies such as Generative AI.

Capgemini Invent Capgemini Invent is the digital innovation, consulting and transformation brand of the Capgemini Group, a global business line that combines market leading expertise in strategy, technology, data science and creative design, to help CxOs envision and build whats next for their businesses. Your Role Work in an IC role ensuring adherence to best practices in BI development and data visualization. Collaborate with stakeholders to define business requirements and design impactful dashboards using Power BI. Use Python to automate data extraction and transformation. Oversee ETL processes and integrate data from various sources into Power BI. Enhance Power BI reports with Python scripts for advanced analytics and custom calculations. Ensure strong data governance, quality, and user-friendly visualization practices. Communicate complex data concepts clearly to both technical and non-technical teams. Good documentation skills to deliver BRDs, specifications document etc. Your Profile 4+ years of experience in DWH/BI domain with a focus on Power BI development. Proficiency in at least two BI toolsQlik, Power BI, Tableau. Showcase experience in 2-3 complete life cycle implementation of BI projects. Willingness and readiness to cross-skill in multiple BI tools and platforms. Experience with Power Platform (Power Apps, Power Automate), including building apps and automating workflows. Advanced SQL skills for querying and manipulating data from relational databases. Basic Python skills for ETL automation, with experience in Pandas, NumPy, and python What youll love about working here We recognize the significance of flexible work arrangements to provide support. Be it remote work, or flexible work hours, you will get an environment to maintain healthy work life balance. At the heart of our mission is your career growth. Our array of career growth programs and diverse professions are crafted to support you in exploring a world of opportunities. Equip yourself with valuable certifications in the latest technologies such as Generative AI. About Capgemini Capgemini is a global business and technology transformation partner, helping organizations to accelerate their dual transition to a digital and sustainable world, while creating tangible impact for enterprises and society. It is a responsible and diverse group of 340,000 team members in more than 50 countries. With its strong over 55-year heritage, Capgemini is trusted by its clients to unlock the value of technology to address the entire breadth of their business needs. It delivers end-to-end services and solutions leveraging strengths from strategy and design to engineering, all fueled by its market leading capabilities in AI, cloud and data, combined with its deep industry expertise and partner ecosystem. The Group reported 2023 global revenues of 22.5 billion.

Project Role : Application Developer Project Role Description : Design, build and configure applications to meet business process and application requirements. Must have skills : SAP Master Data Governance MDG Tool Good to have skills : NAMinimum 15 year(s) of experience is required Educational Qualification : 15 years full time education Summary :As an Application Developer, you will design, build, and configure applications to meet business process and application requirements. A typical day involves collaborating with various teams to understand their needs, developing solutions that align with business objectives, and ensuring that applications are optimized for performance and usability. You will also engage in problem-solving activities, providing insights and recommendations to enhance application functionality and user experience. Roles & Responsibilities:- Expected to be a Subject Matter Expert with deep knowledge and experience.- Should have influencing and advisory skills.- Responsible for team decisions.- Engage with multiple teams and contribute on key decisions.- Expected to provide solutions to problems that apply across multiple teams.- Facilitate workshops and discussions to gather requirements and feedback from stakeholders.- Mentor junior professionals in best practices and application development methodologies. Professional & Technical Skills: - Must To Have Skills: Proficiency in SAP Master Data Governance MDG Tool.- Experience with application lifecycle management and deployment processes.- Strong understanding of data governance principles and practices.- Ability to analyze business requirements and translate them into technical specifications.- Familiarity with integration techniques and tools for seamless data flow. Additional Information:- The candidate should have minimum 15 years of experience in SAP Master Data Governance MDG Tool.- This position is based at our Mumbai office.- A 15 years full time education is required. Qualification 15 years full time education

Project Role : Data Platform Architect Project Role Description : Architects the data platform blueprint and implements the design, encompassing the relevant data platform components. Collaborates with the Integration Architects and Data Architects to ensure cohesive integration between systems and data models. Must have skills : Microsoft Azure Data Services Good to have skills : Microsoft SQL Server, Python (Programming Language), Microsoft Azure DatabricksMinimum 5 year(s) of experience is required Educational Qualification : 15 years full time education Summary :As a Data Platform Architect, you will be responsible for architecting the data platform blueprint and implementing the design, which includes various data platform components. Your typical day will involve collaborating with Integration Architects and Data Architects to ensure seamless integration between systems and data models, while also addressing any challenges that arise during the implementation process. You will engage in discussions with stakeholders to gather requirements and provide insights that drive the overall architecture of the data platform, ensuring it meets the needs of the organization effectively. Roles & Responsibilities:- Expected to be an SME.- Collaborate and manage the team to perform.- Responsible for team decisions.- Engage with multiple teams and contribute on key decisions.- Provide solutions to problems for their immediate team and across multiple teams.- Facilitate knowledge sharing sessions to enhance team capabilities.- Develop and maintain documentation related to architecture and design decisions. Professional & Technical Skills: - Must To Have Skills: Proficiency in Microsoft Azure Data Services.- Good To Have Skills: Experience with Microsoft Azure Databricks, Microsoft SQL Server, Python (Programming Language).- Strong understanding of data architecture principles and best practices.- Experience with cloud-based data solutions and services.- Familiarity with data governance and compliance standards. Additional Information:- The candidate should have minimum 5 years of experience in Microsoft Azure Data Services.- This position is based in Hyderabad.- A 15 years full time education is required. Qualification 15 years full time education

Project Role : Data Platform Architect Project Role Description : Architects the data platform blueprint and implements the design, encompassing the relevant data platform components. Collaborates with the Integration Architects and Data Architects to ensure cohesive integration between systems and data models. Must have skills : Microsoft Azure Data Services Good to have skills : Microsoft SQL Server, Python (Programming Language), Microsoft Azure DatabricksMinimum 7.5 year(s) of experience is required Educational Qualification : 15 years full time education Summary :As a Data Platform Architect, you will be responsible for architecting the data platform blueprint and implementing the design, which includes various data platform components. Your typical day will involve collaborating with Integration Architects and Data Architects to ensure seamless integration between systems and data models, while also addressing any challenges that arise during the implementation process. You will engage in discussions with stakeholders to gather requirements and provide insights that drive the overall architecture of the data platform, ensuring it meets the needs of the organization effectively. Roles & Responsibilities:- Expected to be an SME.- Collaborate and manage the team to perform.- Responsible for team decisions.- Engage with multiple teams and contribute on key decisions.- Provide solutions to problems for their immediate team and across multiple teams.- Facilitate knowledge sharing sessions to enhance team capabilities.- Develop and maintain documentation related to data architecture and design. Professional & Technical Skills: - Must To Have Skills: Proficiency in Microsoft Azure Data Services.- Good To Have Skills: Experience with Microsoft Azure Databricks, Python (Programming Language), Microsoft SQL Server.- Strong understanding of data modeling techniques and best practices.- Experience with cloud-based data storage solutions and data processing frameworks.- Familiarity with data governance and compliance standards. Additional Information:- The candidate should have minimum 7.5 years of experience in Microsoft Azure Data Services.- This position is based at our Hyderabad office.- A 15 years full time education is required. Qualification 15 years full time education

Project Role : Application Lead Project Role Description : Lead the effort to design, build and configure applications, acting as the primary point of contact. Must have skills : OneStream Extensive Finance SmartCPM Good to have skills : NAMinimum 5 year(s) of experience is required Educational Qualification : Finance Background MBAPGCACFA in Finance RecommendedBachelor of EngineeringMS Azure Certification preferred Summary :As an Application Lead, you will lead the effort to design, build, and configure applications, acting as the primary point of contact. Your typical day will involve collaborating with various teams to ensure that application development aligns with business objectives, overseeing project timelines, and providing guidance to team members to foster a productive work environment. You will also engage in problem-solving discussions, ensuring that solutions are effectively implemented and meet the needs of stakeholders. Key Responsibilities:1.Lead the design, development, and enhancement of OneStream solutions to support financial consolidation, planning, and reporting.2.Collaborate with Finance, Accounting, and IT teams to gather business requirements and translate them into technical solutions within OneStream.3.Manage and maintain metadata, business rules, data integrations, and reporting structures in OneStream.4.Develop and maintain calculation scripts, business rules, and custom solutions using VB.NET or related scripting languages.5.Drive the monthly and quarterly close processes by ensuring timely and accurate data loads, validations, and reporting outputs.6.Develop and maintain dashboards, reports, and cube views for end-users across the organization.7.Provide end-user support and training, acting as a subject matter expert (SME) for OneStream across the company.8.Conduct system testing and troubleshooting, working with stakeholders and vendors as needed.9.Work on break-fixes and enhancement requests10.Deliver assigned work successfully and on-time with high-quality11.Develop documentation for delivered solution12.The candidate must have good troubleshooting skills and be able to think through issues and problems in a logical manner Technical Experience:1.3+ years of development Experience in ONESTREAM focused on but not limited to Financial Forecasting, Supply Chain Planning and HR/Sales/Incentive Compensation Management or similar use cases.2.6+ years of strong background and experience in consulting roles focused on Financial Planning/ Supply chain / Sales Performance Planning.3.Familiarity with SCRUM/Agile.4.Hands on in MS Excel using advanced formulae to develop Mock-Ups for clients.5.Ability to effectively communicate with client team and in client facing roles.6.Ability to effectively work remotely & if required Willing to travel out of Base Location Professional Attributes1.Good Communication skills as candidate will be speaking (in calls) and writing mails directly to Client.2.Candidate should have Leadership qualities and positive attitude to take the challenging task.3.Ability to manage a Team of 10 person in development and support projects4.Candidate should have good analytical and presentation skills.5.Strong sense of responsibility and positive attitude Educational Qualification :Finance Background (MBA/PG/CA/CFA in Finance) RecommendedBachelor of EngineeringMS Azure Certification preferred Qualification Finance Background MBAPGCACFA in Finance RecommendedBachelor of EngineeringMS Azure Certification preferred

Project Role : Application Lead Project Role Description : Lead the effort to design, build and configure applications, acting as the primary point of contact. Must have skills : Informatica MDM Good to have skills : NAMinimum 2 year(s) of experience is required Educational Qualification : 15 years full time education Summary :As an Application Lead, you will lead the effort to design, build, and configure applications, acting as the primary point of contact. Your typical day will involve collaborating with various stakeholders to gather requirements, overseeing the development process, and ensuring that the applications meet the specified needs. You will also engage in problem-solving discussions and provide guidance to team members, fostering a collaborative environment that encourages innovation and efficiency. Roles & Responsibilities:- Expected to perform independently and become an SME.- Required active participation/contribution in team discussions.- Contribute in providing solutions to work related problems.- Facilitate knowledge sharing sessions to enhance team capabilities.- Monitor project progress and provide regular updates to stakeholders. Professional & Technical Skills: - Must To Have Skills: Proficiency in Informatica MDM.- Good To Have Skills: Experience with data integration tools and techniques.- Strong understanding of data governance principles.- Experience in application design and architecture.- Familiarity with database management systems and data modeling. Additional Information:- The candidate should have minimum 2 years of experience in Informatica MDM.- This position is based at our Hyderabad office.- A 15 years full time education is required. Qualification 15 years full time education

Project Role : Application Lead Project Role Description : Lead the effort to design, build and configure applications, acting as the primary point of contact. Must have skills : SAP Master Data Governance MDG Tool Good to have skills : NAMinimum 5 year(s) of experience is required Educational Qualification : 15 years full time education Summary :As an Application Lead, you will lead the effort to design, build, and configure applications, acting as the primary point of contact. Your day will involve overseeing project progress, coordinating with teams, and ensuring successful application development. Roles & Responsibilities:- Expected to be an SME- Collaborate and manage the team to perform- Responsible for team decisions- Engage with multiple teams and contribute on key decisions- Provide solutions to problems for their immediate team and across multiple teams- Lead the application development process- Coordinate with stakeholders to gather requirements- Ensure timely delivery of projects Professional & Technical Skills: - Must To Have Skills: Proficiency in SAP Master Data Governance MDG Tool- Strong understanding of data governance principles- Experience in configuring and customizing SAP MDG Tool- Knowledge of SAP data models and structures- Hands-on experience in data migration and data quality management Additional Information:- The candidate should have a minimum of 5 years of experience in SAP Master Data Governance MDG Tool- This position is based at our Bengaluru office- A 15 years full-time education is required Qualification 15 years full time education