4955 Data Governance Jobs - Page 7

As an AI Champion at Enreap, your primary focus will be on driving strategic and operational AI leadership. You will collaborate with internal teams to identify high-impact AI use cases, lead quick win internal AI pilot projects, and establish essential data governance practices with the IT team. Additionally, you will contribute to the vision and roadmap for AI-oriented product offerings, conduct market research and customer analysis, and work with the Product Management Core team for the development of AI-oriented products. Your role will also involve translating successful internal operational AI solutions into customer-facing products. Furthermore, you will champion internal AI literacy, act as the primary liaison for external AI/Data Strategy consulting, and foster a data-driven culture within the organization. Qualifications required for this role include a Bachelor's degree in Business, Computer Science, Engineering, Information Systems, or a related field, along with 3-5 years of experience in solutioning for domains such as PPM, ITSM, or DevOps. You should have at least 1 year of experience in solutioning and implementing Data and AI technologies, a solid understanding of core AI/ML concepts, and familiarity with enterprise software platforms like Atlassian, Google Workspace, AWS, Monday.com, and GitLab. Additionally, you should have domain knowledge in areas such as DevOps, ITSM, PPM, Business Support Operations, and Cloud migrations and adoptions. Demonstrated understanding of product management principles, experience with agile/lean methodologies, exceptional communication and interpersonal skills, strong problem-solving abilities, and the ability to build strong cross-functional relationships are also essential for this role.,

Role Overview: You will be a part of the enterprise data office and product solution team, focusing on ensuring accurate, timely, and fit for purpose data for business, risk management, and regulatory reporting requirements. Your average day will involve collaborating with Markets, Risk, Finance, Tech, Client org, and Data Engineering Teams to gather requirements, understand application processing, identify gaps, and design systematic solutions for business needs. You will document product data flows and transformations within enterprise systems. Key Responsibilities: - Understand Derivatives data flows within CITI for Equities, FX, IRS, Fixed Income, Commodities, etc. - Conduct data analysis for derivatives products across systems for target state adoption and resolution of data gaps/issues. - Work closely with Technology, Business Managers, and other stakeholders to fulfill delivery objectives. - Create a product vision aligned with business priorities and develop a roadmap for delivery. - Collaborate with senior team members and leaders to define and implement solutions for a global user community. - Assess end-to-end data flows for all data elements used in Regulatory Reports. - Document current and target states data mapping and produce gap assessments. - Coordinate with the business to identify critical data elements, define standards and quality expectations, and prioritize data issue remediation. - Identify strategic sources for critical data elements. - Design and implement data governance controls, including data quality rules and data reconciliation. - Design systematic solutions for the elimination of manual processes/adjustments and remediation of tactical solutions. - Prepare detailed requirement specifications containing calculations, data transformations, and aggregation logic. - Perform functional testing and data validations. Qualifications Required: - 10+ years of combined experience in banking and financial services industry, information technology, and/or data controls and governance. - Preferably an Engineering Graduate with Post Graduation in Finance. - Extensive experience in capital markets business and processes. - Deep understanding of Derivative products (Equities, FX, IRS, Commodities, etc.). - Strong data analysis skills using Excel, SQL, Python, Pyspark, etc. - Experience with data management processes, tools, and applications, including process mapping and lineage toolsets. - Ability to identify and solve problems throughout the product development process. - Strong knowledge of structured/unstructured databases, data modeling, data management, rapid/iterative development methodologies, and data governance tools. - Strong understanding of data governance issues, policies, regulatory requirements, and industry information affecting the business environment. - Demonstrated stakeholder management skills. - Excellent communication skills to gather requirements and develop clear documentation. - Excellent problem-solving and critical thinking skills to recognize and comprehend complex data flow and designs. - Self-motivated and able to determine priorities dynamically. - Data visualization skills to create visual representations of data models and provide input to UX/UI teams. (Note: Any additional details of the company were not present in the provided job description.),

Role Overview: As a Data Governance Specialist at Wipro Limited, your role involves establishing and maintaining a robust data governance framework that aligns with the organization's business objectives and compliance requirements. You will be responsible for ensuring the availability, integrity, security, and usability of data assets while promoting accountability and ownership of data across the enterprise. Key Responsibilities: - Develop and maintain a comprehensive data governance strategy and roadmap. - Define enterprise-wide data governance policies, procedures, and standards. - Establish a data stewardship model including assigning data owners and custodians. - Define and implement data quality metrics, rules, and controls. - Monitor data quality across critical data domains; identify and remediate issues. - Work with data stewards to implement data profiling and cleansing activities. - Define standards for metadata management and data lineage tracking. - Oversee the creation and maintenance of business glossaries and metadata repositories. - Support technical metadata capture and integration with data catalogs. - Ensure adherence to data protection regulations (GDPR, HIPAA, CCPA, etc.). - Work with legal and compliance teams to evaluate data-related risks and implement controls. - Conduct data privacy impact assessments where necessary. - Drive cultural change and stakeholder buy-in through training and workshops. - Act as a liaison between IT and business stakeholders to resolve data governance issues. - Facilitate data governance councils and steering committee meetings. - Evaluate, implement, and administer governance tools such as Collibra, Alation, Informatica Axon, or Microsoft Purview. - Collaborate with Data Platform teams to integrate governance into data pipelines and reporting layers. Qualification Required: - Mandatory Skills: Data Governance. - Experience: 5-8 Years. In this role at Wipro Limited, you will have the opportunity to be part of a dynamic team that is focused on digital transformation and innovation. Join us in building a modern Wipro where constant evolution and reinvention are encouraged. Realize your ambitions and be empowered to design your own reinvention. Applications from people with disabilities are explicitly welcome.,

You will be responsible for contributing to the development of new techniques and improvement of processes and workflow for Issuer Services Business as it relates to the Data Governance Policy. You must have an in-depth understanding of how areas collectively integrate within the sub-function and coordinate and contribute to the objectives of the function and overall business. Your role will involve evaluating moderately complex and variable issues with substantial potential impact, where development of an approach/taking of an action involves weighing various alternatives and balancing potentially conflicting situations using multiple sources of information. Good analytical skills will be necessary in order to filter, prioritize, and validate potentially complex and dynamic material from multiple sources. Strong communication and diplomacy skills are required. You will regularly assume informal/formal leadership roles within teams and be involved in coaching and training of new recruits. Your influence will have a significant impact in terms of project size, geography, etc. by influencing decisions through advice, counsel, and/or facilitating services to others in the area of specialization. Responsibilities: - Consult with end users to support defining, and/or integrating CEAM processes to align with the enterprise Data Governance roadmap and/or Data Risk and Control framework and taxonomy - Provide technical knowledge to ensure efficient design, development, and implementation of complex projects - Review and evaluate work of others - Lead system change process from requirements through implementation - Monitor and report governance metrics including Data Governance adoption and maturity - Monitor alignment of processes across business, functions, and lines of business to the Enterprise Data Governance Policy and standards to meet its specific requirements - Contribute to producing recommendations for enterprise-wide guiding policies, standards, and procedures - Map the Issuer Services key business processes (CEAM) against our data domains and associated critical data elements to onboard into the Data Lake Qualifications: - 5-8 years relevant experience in Data Governance, Data Management, or a related area - Strong project management skills - Ability to optimize work processes by knowing the most effective and efficient processes to get things done, with a focus on continuous improvement - Ability to anticipate and balance the needs of multiple stakeholders while monitoring tight deadlines or unexpected requirement changes - Effective communication skills - Proficient in the use of basic Microsoft applications (Word, Excel, PowerPoint) - Advanced experience in Business Processing mapping using Visio or equivalent tools Education: - Bachelors/University degree or equivalent experience required If you are a person with a disability and need a reasonable accommodation to use our search tools and/or apply for a career opportunity, review Accessibility at Citi. View Citi's EEO Policy Statement and the Know Your Rights poster.,

Dear Candidate, This is with reference for Opportunity for Data Integration Specialist (Collibra) professional PFB the JD Strong hands-on experience with data integration tools such as Informatica, SSIS, or equivalent ETL platforms. Strong expertise in Data Governance Advanced proficiency in SQL, including query design, optimization, and troubleshooting. Hands-on experience on Collibra. Preferably, experience in implementing or supporting Data Quality frameworks and solutions. Strong communication skills Skill - Data Integration Specialist (Collibra) Location - Chennai, Mumbai, Pune, Bangalore

Main Job Duties and Responsibilities Deep knowledge of advance excel & Analytics in transport operations. Excellent communication skills in English, both spoken and in writing. Excellent understanding of Transport Management System/similar platforms and applications in transport domain. Must have handled large teams with excellent man management skills. Good understanding and execution of MIS operations. Well versed with automation tools in transport operations. Hands on knowledge of Digital assistants. Vendor management. Budget monitoring and management. Ready to work in fast paced environment, various shifts, and travel in NCR. Be able to throw new solutions through Data analytics for faster enablement of economic streamlining of the transport operations. Be able to interact with project leads and undertake conflict resolution, presentations, vendor management etc. Education and Experience Qualification : Bachelor s Degree Industry Experience: Employee Logistics, Travels & Transport. Overall Experience: 4 or more years of data management related experience such as Data Analysis, Data Governance. Experience with standard data entry systems, excellent computer skills including proficiency in MS Excel 2010, Word and Outlook, standard analytic and reporting systems with some exposure to programming languages like SQL and tools like Excel etc. Technical Skills : 4 or more years of experience in related industry; employee logistics and transport management preferred. Key Competencies Good technical writing, documentation, and communication skills. Self-motivated, positive attitude and a team player. Strong organizational skills and the ability to deal with large volumes of data. Effectively prioritize and manage time and workload to meet timelines. Working and conceptual knowledge of databases is a plus. Experience in accessing and executing end user reports and dashboards from any reporting tool is a plus. Problem analysis Client service orientation Adaptability Teamwork Presentation skills Computer Knowledge Good knowledge of employee logistics. Innovative approach at work Quick learning ability & Positive thinking

Please find below the JD for BA/DA role: 1. Good experience in SQL and Collibra Governance tool. 2. Having knowledge of Collibra Data Quality is not mandatory but adds value. 3. Having good communication skills. 4. Collaborating with the business team like Data Stewards and Data Owners to understand the business requirements. 5. Good experience in banking domain. 6. Having good knowledge of regulator standards related to banking domain like BCBS and FCC Sanctions. Package - As per the industry norms. Preferably looking for immediate joiners or with a notice period of a month only.

Sustainability Data Quality Manager Duties & responsibilities The Sustainability Data Quality Manager role will join JLL’s Sustainability Data and Reporting team to support our data management, platform, compliance and reporting functions. The role will report to the team’s Regional Lead but work across our global client portfolio and multiple stakeholder groups to deliver regular data quality analytics reviews and reports, coordinating the resolution of issues found. The position is required to work collaboratively across internal global business lines including JLL’s Client Account, Technology and Operations teams to help manage stakeholder expectations and maintain high quality service delivery. The candidate will have experience in delivering multiple programs of work in parallel and applying a strategy that learns from and leverages challenges and opportunities observed from across the board. The role will be responsible for several tasks including: Partnering with business and technology teams to design, implement, and optimize data quality processes that support business operations and analytics Develop a detailed understanding of key tracking and reporting platforms, including internal tools and how we support our clients in measuring their sustainability performance. Coordinate and manage adherence to QAQC process for key business groups. Identify, assess, and document data quality issues and their impact on business operations Develop a detailed understanding of data structures within client’s data. Performance objectives Ability to actively manage concurrent projects and a strong talent for project coordination. Regularly communicate in a clear and non-technical way to internal JLL users. Be an integral part of the data and reporting team, completing a full review of data quality practices, identifying trends and potential issues, and communicating with others to implement changes and improvements as necessary. Identify support, training and management processes that can be improved to increase scalability and efficiency. Key skills Ability to see patterns and tell trends within and across large data sets, applying understanding of sustainability performance. Strong organizational and analytical skills, process-driven, with an orientation toward continuous improvement. Ability to clearly identify issues with data and raise them to the appropriate stakeholder. Ability to meet milestone dates and raise concerns early and often. Able to determine root causes of data discrepancies and recommend long-term solutions. Candidate specification 5+ years’ experience in similar role. High proficiency in Microsoft Excel and data management. Knowledge of other analytical tools such as Power BI, Tableau, Python, or SQL. Excellent communication skills including the ability to identify and describe data anomalies and provide solutions accordingly. Lateral thinking and problem-solving skills. Ability to multi-task and manage priorities to meet deadlines. Familiarity of sustainability and carbon emissions reporting will be a strong advantage. Project management experience would be an advantage. This role requires a high attention to detail and a strong process-driven approach. Location On-site –Bengaluru, KA, Mumbai, MH Scheduled Weekly Hours: 40 If this job description resonates with you, we encourage you to apply even if you don’t meet all of the requirements. We’re interested in getting to know you and what you bring to the table! JLL Privacy Notice Jones Lang LaSalle (JLL), together with its subsidiaries and affiliates, is a leading global provider of real estate and investment management services. We take our responsibility to protect the personal information provided to us seriously. Generally the personal information we collect from you are for the purposes of processing in connection with JLL’s recruitment process. We endeavour to keep your personal information secure with appropriate level of security and keep for as long as we need it for legitimate business or legal reasons. We will then delete it safely and securely. Candidate Privacy Statement . For candidates in the United States, please see a full copy of our Equal Employment Opportunity and Affirmative Action policy here. Jones Lang LaSalle (“JLL”) is an Equal Opportunity Employer and is committed to working with and providing reasonable accommodations to individuals with disabilities. If you need a reasonable accommodation because of a disability for any part of the employment process – including the online application and/or overall selection process – you may contact us at Accommodation Requests . This email is only to request an accommodation. Please direct any other general recruiting inquiries to our Contact Us page I want to work for JLL.

As an Software Developer at IBM you will harness the power of data to unveil captivating stories and intricate patterns. You'll contribute to data gathering, storage, and both batch and real-time processing. Collaborating closely with diverse teams, you'll play an important role in deciding the most suitable data management systems and identifying the crucial data required for insightful analysis. As a Data Engineer, you'll tackle obstacles related to database integration and untangle complex, unstructured data sets. In this role, your responsibilities may include: Implementing and validating predictive models as well as creating and maintain statistical models with a focus on big data, incorporating a variety of statistical and machine learning techniques Designing and implementing various enterprise search applications such as Elasticsearch and Splunk for client requirements Work in an Agile, collaborative environment, partnering with other scientists, engineers, consultants and database administrators of all backgrounds and disciplines to bring analytical rigor and statistical methods to the challenges of predicting behaviours. Build teams or writing programs to cleanse and integrate data in an efficient and reusable manner, developing predictive or prescriptive models, and evaluating modelling results Required education Bachelor's Degree Preferred education Master's Degree Required technical and professional expertise Bachelor’s degree in computer science, Supply Chain, Information Systems, or related field. Minimum of 5-7 years of experience in Master Data Management or related field. 3-5 years SAP experience / ERP experience required with strong exposure to at least two of the functional areas described above – Proven experience in leading an MDM team. Strong knowledge of data governance principles, best practices, and technologies. – Experience with data profiling, cleansing, and enrichment tools. Ability to work with cross-functional teams to understand and address their master data needs. Proven ability to build predictive analytics tools using PowerBI, Spotfire or otherwise Preferred technical and professional experience You thrive on teamwork and have excellent verbal and written communication skills. Ability to communicate with internal and external clients to understand and define business needs, providing analytical solutions Ability to communicate results to technical and non-technical audiences

Assists clients in the selection, implementation, and support of the SAP MDG Participate in SAP MDG implementations and develop master data maintenance solutions using the latest technology and tools Design and lead the overall strategic and tactical data migration initiatives, data cleansing initiatives and data profiling initiatives as well as data warehouse design, modeling and implementation for our customers. Experience in implementation planning, fit analysis, configuration, testing, rollout and post-implementation support. Good knowledge and experience within the Data Management Tools and a thorough understanding of SAP integration points Required education Bachelor's Degree Preferred education Master's Degree Required technical and professional expertise Minimum 4-5 years of Industry experience Technical Knowledge and Experience in working with SAP Data Management Tools like Data Services, Cockpit, MDG, HANA EIM. Hands on MDG configuration experience, configuration related to customer and core STE processes Experience in IM Architecture, Data Migrations, Data Profiling and Data quality. Implementation experience of MDG in key domains such as Finance, Customer, Supplier, Material & Business Partners Experience in implementation, development or configuration on one or more of the following solutions from Data Management Suite-SAP Data Services / SAP MDG / Migration Cockpit / HANA EIM SDI. Experience to write scripts and complex SQL statements Preferred technical and professional experience Experience in Data Migration methodologies, specifically around legacy to SAP migration using solutions like Data Services will be nice to have. Implementation experience and knowledge in at least two of these areas would be an added advantage Master Data Management

Note - This opportunity is on behalf of one of our esteemed clients were assisting them with the hiring process. They are looking to fill this position immediately (within this week). Only candidates from Bengaluru or nearby (commutable) locations will be considered. Role Overview We are looking for an experienced AI Data Architect to design and implement robust, scalable, and secure data architectures that power AI/ML solutions. The role involves defining data strategies, enabling advanced analytics, ensuring data quality/governance, and optimizing infrastructure to support modern AI-driven applications. Key Responsibilities Design and implement end-to-end data architectures to support AI/ML workloads. Define data strategy, governance, and frameworks for structured, semi-structured, and unstructured data. Architect scalable data pipelines, warehouses, and lakehouses optimized for AI/ML. Collaborate with Data Scientists, ML Engineers, and business teams to translate requirements into data architecture solutions. Ensure data security, compliance, lineage, and metadata management. Optimize data platforms for performance, scalability, and cost efficiency. Guide teams on best practices for integrating data platforms with AI/ML model training, deployment, and monitoring. Evaluate emerging tools and technologies in the Data & AI ecosystem. Required Skills & Experience Proven experience as a Data Architect with a focus on AI/ML workloads. Strong expertise in cloud platforms (AWS, Azure, GCP) and cloud-native data services. Hands-on experience with data lakehouse architectures (Databricks, Snowflake, Delta Lake, BigQuery, Synapse). Proficiency in data pipeline frameworks (Apache Spark, Kafka, Airflow, DBT). Strong understanding of ML data lifecycle feature engineering, data versioning, training pipelines, MLOps. Knowledge of data governance frameworks , security, and compliance standards. Experience with SQL, Python, and distributed data systems . Familiarity with AI/ML platforms (SageMaker, Vertex AI, Azure ML) is a plus. Excellent problem-solving and stakeholder management skills. Note - This opportunity is on behalf of one of our esteemed clients were assisting them with the hiring process. They are looking to fill this position immediately (within this week). Only candidates from Bengaluru or nearby (commutable) locations will be considered.

Role & responsibilities andidate must hold a degree in Mechanical or Electrical Engineering. Should have domain knowledge of valves, bearings, gaskets, and electrical drives. Must be skilled in data cleansing and accurate noun-modifier identification. Experience with the Sphera MM cleansing tool is required. Mandatory Skills(Hands on exp is must)-Spares finder or Sphera, UNSPSC classification, material data standardization, material data cleansing, material data enrichment, MDM, master data governance. Exp 5 to 6 years Location – Chennai Mandate skillset – Material Master data

About the Role: We're seeking a skilled Data Scientist to join our Data Science Innovation team in Research, combining expertise in data science with strong data management capabilities. The ideal candidate will possess profound knowledge in data science, data cleaning and wrangling, and a passion for continuous growth. This role requires the ability to effectively communicate with brokers and business stakeholders, translating data insights into actionable business strategies. Key Responsibilities: Develop, evaluate, and improve machine learning models using advanced data science approaches. Conduct exploratory data analysis, including visualization and statistical techniques. Design and implement data cleaning processes and maintain data pipelines. Create and manage databases, ensuring data quality, integrity, and accessibility. Interact with cross-functional teams, including brokers, account teams, Researchers, and stakeholders, to fill gaps in data and understand data context. Stay current with emerging technologies in data science and real estate. Required Qualifications: Bachelor's or Master's degree in Data Science, Computer Science, Mathematics, or related STEM field 3+ years of industry experience in machine learning and data science Strong programming skills with statistical languages, including Python, R and SQL Strong data management and cleansing skills, and extensive experience with products like Databricks Knowledge of GenAI applications in Data Science (e.g., prompt engineering, RAG techniques) Expertise in various data science aspects: classification, regression, NLP, time-series analysis, etc. Experience with data cleaning techniques and database management systems Strong problem-solving, analytical, and communication skills Ability to communicate effectively with brokers and members of the business Compatible with Europe time zone and working hours Preferred Qualifications: Experience in the commercial real estate sector Knowledge of data governance and privacy regulations Familiarity with cloud computing platforms and big data technologies Experience serving machine learning models as API services Strategic, outside-of-the-box thinker Scheduled Weekly Hours: 40

About the Role: We're seeking a skilled Data Scientist to join our Data Science Innovation team in Research, combining expertise in data science with strong data management capabilities. The ideal candidate will possess profound knowledge in data science, data cleaning and wrangling, and a passion for continuous growth. This role requires the ability to effectively communicate with brokers and business stakeholders, translating data insights into actionable business strategies. Key Responsibilities: Develop, evaluate, and improve machine learning models using advanced data science approaches. Conduct exploratory data analysis, including visualization and statistical techniques. Design and implement data cleaning processes and maintain data pipelines. Create and manage databases, ensuring data quality, integrity, and accessibility. Interact with cross-functional teams, including brokers, account teams, Researchers, and stakeholders, to fill gaps in data and understand data context. Stay current with emerging technologies in data science and real estate. Required Qualifications: Bachelor's or Master's degree in Data Science, Computer Science, Mathematics, or related STEM field 3+ years of industry experience in machine learning and data science Strong programming skills with statistical languages, including Python, R and SQL Strong data management and cleansing skills, and extensive experience with products like Databricks Knowledge of GenAI applications in Data Science (e.g., prompt engineering, RAG techniques) Expertise in various data science aspects: classification, regression, NLP, time-series analysis, etc. Experience with data cleaning techniques and database management systems Strong problem-solving, analytical, and communication skills Ability to communicate effectively with brokers and members of the business Compatible with Europe time zone and working hours Preferred Qualifications: Experience in the commercial real estate sector Knowledge of data governance and privacy regulations Familiarity with cloud computing platforms and big data technologies Experience serving machine learning models as API services Strategic, outside-of-the-box thinker Scheduled Weekly Hours: 40

About The Role Project Role : Data Engineer Project Role Description : Design, develop and maintain data solutions for data generation, collection, and processing. Create data pipelines, ensure data quality, and implement ETL (extract, transform and load) processes to migrate and deploy data across systems. Must have skills : Oracle Procedural Language Extensions to SQL (PLSQL) Good to have skills : Google BigQuery, Python (Programming Language), Data Engineering Minimum 3 year(s) of experience is required Educational Qualification : 15 years full time education Summary :As a Data Engineer, you will design, develop, and maintain data solutions that facilitate data generation, collection, and processing. Your typical day will involve creating data pipelines, ensuring data quality, and implementing ETL processes to migrate and deploy data across various systems. You will collaborate with team members to identify data needs and optimize data workflows, contributing to the overall efficiency and effectiveness of data management within the organization. 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.- Assist in the design and implementation of data architecture to support data initiatives.- Monitor and troubleshoot data pipeline performance to ensure optimal operation. Professional & Technical Skills: - Must To Have Skills: Proficiency in Oracle Procedural Language Extensions to SQL (PLSQL).- Good To Have Skills: Experience with Python (Programming Language), Data Engineering, Google BigQuery.- Strong understanding of ETL processes and data integration techniques.- Experience with data quality assurance and data governance practices.- Familiarity with cloud-based data storage solutions and data warehousing concepts. Additional Information:- The candidate should have minimum 3 years of experience in Oracle Procedural Language Extensions to SQL (PLSQL).- This position is based at our Bengaluru office.- A 15 years full time education is required. Qualification 15 years full time education

About The Role Skill required: Marketing Operations - Content Creation Designation: Copywriting Analyst Qualifications: Any Graduation Years of Experience: 3 to 5 years What would you do? Help balance increased marketing complexity and diminishing marketing resources. Drive marketing performance with deep functional and technical expertise, while accelerating time-to-market and operating efficiencies at scale through Data and Technology, Next Generation Content Services, Digital Marketing Services & Customer Engagement and Media Growth Services.Role requires:Light Creative (Content Writer)Graduate, Post Graduate or Graduate in Fine ArtsThe role will include research, industry-related topics (combining online sources, interviews and studies), writing clear marketing copies to promote products/services, preparing well-structured drafts using CMS/tools, proofreading & editing content before publication, coordinating with marketing and design teams to illustrate articles, conducting simple keyword research, using SEO guidelines to increase web traffic and identifying customers needs and gaps in the content and updating on website. What are we looking for? Content managementSearch Engine Optimization (SEO)Google AdsGood to have:Basic knowledge of SEO principles, including keyword research and optimization.Knowledge of digital ad platforms like Google Ads, Meta Ads, or LinkedIn Ads.Familiarity with social media analytics tools to gauge campaign performance. Roles and Responsibilities: Roles & Responsibilities:1.Content Creation:oDevelop high-quality, engaging, and SEO-optimized content for various channels, including websites, blogs, whitepapers, social media, email campaigns, and more.oCreate thought leadership articles, case studies, and product-centric content that aligns with brand goals.oCreate brochures and point of sales materials.2.Editing and Proofreading:oEdit and proofread content to ensure grammatical accuracy, clarity, and consistency with brand tone and style.oReview and refine user-facing content to meet high-quality standards and eliminate errors.3.Research and Analysis:oPerform thorough research on industry trends, topics, and competitors to deliver credible and relevant content.oAnalyze content performance metrics to iterate and improve strategies for better engagement.4.Collaboration:oWork closely with marketing, design, and product teams to ensure alignment between content and overall campaign goals.oPartner with designers to create visually appealing and content-rich assets, such as infographics and presentations.5.Content Optimization:oOptimize web content for search engines (SEO) using targeted keywords, metadata, and link-building strategies.oAdapt and repurpose content for different formats and platforms to maximize reach and impact.6.Project Management:oManage multiple content projects simultaneously, ensuring timely delivery while maintaining quality.oStay flexible and efficient in a fast-paced, deadline-driven environment.7.Compliance and Documentation:oEnsure all content complies with legal and brand standards, including accessibility and regulatory requirements.oMaintain organized project files, style guides, and documentation for easy handoff and collaboration. Qualification Any Graduation

About The Role 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 Migration Good to have skills : NA Minimum 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 discussions, providing insights and recommendations based on your expertise, while continuously seeking opportunities for improvement in 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 meetings 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 Migration.- Experience with data governance and data quality management.- Strong understanding of application development life cycle and methodologies.- Ability to analyze and optimize data migration processes.- Familiarity with integration tools and techniques for data transfer. Additional Information:- The candidate should have minimum 15 years of experience in SAP Master Data Migration.- This position is based at our Bengaluru office.- A 15 years full time education is required. Qualification 15 years full time education

About The Role 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 : NA Minimum 7.5 year(s) of experience is required Educational Qualification : 15 years full time education Summary :As an Application Lead, you will lead the effort to design, build, and configure applications, acting as the primary point of contact. Your typical day will involve collaborating with various teams to ensure that application requirements are met, overseeing the development process, and providing guidance to team members. You will also engage in problem-solving activities, ensuring that the applications are aligned with business needs and technical specifications, while fostering a collaborative environment that encourages innovation and efficiency. 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.- Monitor project progress and ensure timely delivery of milestones. Professional & Technical Skills: - Must To Have Skills: Proficiency in SAP Master Data Governance MDG Tool.- Strong understanding of data governance principles and practices.- Experience with application design and configuration.- Ability to lead cross-functional teams effectively.- Familiarity with project management methodologies. Additional Information:- The candidate should have minimum 7.5 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

About the Job : We are seeking a highly skilled and experienced Senior Data Engineer to join our dynamic team. In this pivotal role, you will be instrumental in driving our data engineering initiatives, with a strong emphasis on leveraging Dataiku's capabilities to enhance data processing and analytics. You will be responsible for designing, developing, and optimizing robust data pipelines, ensuring seamless integration of diverse data sources, and maintaining high data quality and accessibility to support our business intelligence and advanced analytics projects. This role requires a unique blend of expertise in traditional data engineering principles, advanced data modeling, and a forward-thinking approach to integrating cutting-AI technologies, particularly LLM Mesh for Generative AI applications. If you are passionate about building scalable data solutions and are eager to explore the cutting edge of AI, we encourage you to apply. Key Responsibilities : - Dataiku Leadership : Drive data engineering initiatives with a strong emphasis on leveraging Dataiku capabilities for data preparation, analysis, visualization, and the deployment of data solutions. - Data Pipeline Development : Design, develop, and optimize robust and scalable data pipelines to support various business intelligence and advanced analytics projects. This includes developing and maintaining ETL/ELT processes to automate data extraction, transformation, and loading from diverse sources. - Data Modeling & Architecture : Apply expertise in data modeling techniques to design efficient and scalable database structures, ensuring data integrity and optimal performance. - ETL/ELT Expertise : Implement and manage ETL processes and tools to ensure efficient and reliable data flow, maintaining high data quality and accessibility. - Gen AI Integration : Explore and implement solutions leveraging LLM Mesh for Generative AI applications, contributing to the development of innovative AI-powered features. - Programming & Scripting : Utilize programming languages such as Python and SQL for data manipulation, analysis, automation, and the development of custom data solutions. - Cloud Platform Deployment : Deploy and manage scalable data solutions on cloud platforms such as AWS or Azure, leveraging their respective services for optimal performance and cost-efficiency. - Data Quality & Governance : Ensure seamless integration of data sources, maintaining high data quality, consistency, and accessibility across all data assets. Implement data governance best practices. - Collaboration & Mentorship : Collaborate closely with data scientists, analysts, and other stakeholders to understand data requirements and deliver impactful solutions. Potentially mentor junior team members. - Performance Optimization : Continuously monitor and optimize the performance of data pipelines and data systems. Required Skills & Experience : - Proficiency in Dataiku : Demonstrable expertise in Dataiku for data preparation, analysis, visualization, and building end-to-end data pipelines and applications. - Expertise in Data Modeling : Strong understanding and practical experience in various data modeling techniques (e.g., dimensional modeling, Kimball, Inmon) to design efficient and scalable database structures. - ETL/ELT Processes & Tools : Extensive experience with ETL/ELT processes and a proven track record of using various ETL tools (e.g., Dataiku's built-in capabilities, Apache Airflow, Talend, SSIS, etc.). - Familiarity with LLM Mesh : Familiarity with LLM Mesh or similar frameworks for Gen AI applications, understanding its concepts and potential for integration. - Programming Languages : Strong proficiency in Python for data manipulation, scripting, and developing data solutions. Solid command of SQL for complex querying, data analysis, and database interactions. - Cloud Platforms : Knowledge and hands-on experience with at least one major cloud platform (AWS or Azure) for deploying and managing scalable data solutions (e.g., S3, EC2, Azure Data Lake, Azure Synapse, etc.). - Gen AI Concepts : Basic understanding of Generative AI concepts and their potential applications in data engineering. - Problem-Solving : Excellent analytical and problem-solving skills with a keen eye for detail. - Communication : Strong communication and interpersonal skills to collaborate effectively with cross-functional teams. Bonus Points (Nice to Have) : - Experience with other big data technologies (e.g., Spark, Hadoop, Snowflake). - Familiarity with data governance and data security best practices. - Experience with MLOps principles and tools. - Contributions to open-source projects related to data engineering or AI. Education : Bachelor's or Master's degree in Computer Science, Data Science, Engineering, or a related quantitative field.

Data Quality and Governance Analyst 2 JLL/Technologies About JLL Technologies JLL Technologies is a specialized group within JLL. We deliver unparalleled digital advisory, implementation, and services solutions to organizations globally. We provide best-in-class technologies to bring digital ambitions to life aligning technology, people and processes. Our goal is to leverage technology to increase the value and liquidity of the world's buildings, while enhancing the productivity and the happiness of those that occupy them. What this job involves: About the role This role will maintain and develop the data governance and management function for the account supporting the regional context, in tight cooperation with the global structures. This role will be responsible for building a solid and long-term data governance program aimed at reducing organizational risks coming from poor quality of real estate data. This position will report to the APAC Regional Data Governance Lead, and functionally will be embedded in the Account structures. Specifically, this position will involve: Following the guidance from the broader Data Governance team, development and maintenance of the Client Account level Data Governance policies, processes, and data standards Establishment and development of Client Account data governance and management framework across service lines to ensure the consistency and integrity of the data Data profiling followed by defining and maintenance of compliance, usage, and quality metrics Oversight of Master Data Management for critical data elements - the key repository involving gatekeeping of standards, and promoting the procedures Daily business communication and relationship building with multiple stakeholders, both internal and external, to solve ongoing data issues and democratize knowledge on data, including development of mature Data Stewardship program Creation and maintenance of the Data Dictionaries Facilitating meetings with data consumers, data stewards, data producers and other stakeholders to ensure data governance rules and standards are applied to data related changes/ projects Partnering with the IT, BI and service lines counterparts to understand the business context for data management activities Identifying areas for improvement and recommending solutions regarding data quality and processes Supporting the Account in knowledge management by establishing and documenting data flows and processes Sound like you Before you apply its worth knowing what we are looking for: Required Qualifications, Skills & Experience 2+ years of data governance / data management related experience in an enterprise environment across multiple application systems and business functions Strong experience in Client Relationship Management Experience in a role of business analyst or similar Familiarity with SQL and database management processes High level of attention to detail and accuracy and ability to make effective decisions and solve problems Knowledge of data lifecycle and maintenance processes Good understanding of data quality management (processes and concepts) Knowledge of data governance and how it impacts business processes Advanced skills in MS Excel, Word, and PowerPoint required Skills Relationship management skills: excellent listening and consultative capability, the ability to influence and negotiate with business and technology partners to drive change, and the ability to take a broad perspective and make key connections Strong ownership - responsibility paired with engagement Demonstrated information management, analytics and data profiling skills. Control, compliance, audit, risk management and relevant experience in risk identification, assessment, monitoring, and remediation will be helpful. Ability to establish and maintain a high level of customer trust and confidence in the overall information and analytics space. Excellent oral, written, and presentation communication skills. Strong negotiation and group facilitation skills; ability to move a process forward, while meeting the needs of a variety of clients. Ability to work with various levels of peers including analysts, developers and executives regarding complex business and data related issues. Consulting and organization skills. Demonstrated ability to facilitate mission-critical projects. Manage task timelines and deliverable schedules, recognize and share risks and roadblocks. Collaborative, imaginative, resourceful, reliable, technically savvy. Superior ability to manage, manipulate and analyze raw data, draw conclusions, and develop actionable recommendations using technology. Articulate the issues and resolutions via business-friendly communications. Serve as primary day-to-day contact for regional data management issues. Good understanding of data quality management. Knowledge of data governance and how it impacts business processes.

Data Quality and Governance Analyst 2 JLL/Technologies About JLL Technologies JLL Technologies is a specialized group within JLL. We deliver unparalleled digital advisory, implementation, and services solutions to organizations globally. We provide best-in-class technologies to bring digital ambitions to life aligning technology, people and processes. Our goal is to leverage technology to increase the value and liquidity of the world's buildings, while enhancing the productivity and the happiness of those that occupy them. What this job involves: About the role This role will maintain and develop the data governance and management function for the account supporting the regional context, in tight cooperation with the global structures. This role will be responsible for building a solid and long-term data governance program aimed at reducing organizational risks coming from poor quality of real estate data. This position will report to the APAC Regional Data Governance Lead, and functionally will be embedded in the Account structures. Specifically, this position will involve: Following the guidance from the broader Data Governance team, development and maintenance of the Client Account level Data Governance policies, processes, and data standards Establishment and development of Client Account data governance and management framework across service lines to ensure the consistency and integrity of the data Data profiling followed by defining and maintenance of compliance, usage, and quality metrics Oversight of Master Data Management for critical data elements - the key repository involving gatekeeping of standards, and promoting the procedures Daily business communication and relationship building with multiple stakeholders, both internal and external, to solve ongoing data issues and democratize knowledge on data, including development of mature Data Stewardship program Creation and maintenance of the Data Dictionaries Facilitating meetings with data consumers, data stewards, data producers and other stakeholders to ensure data governance rules and standards are applied to data related changes/ projects Partnering with the IT, BI and service lines counterparts to understand the business context for data management activities Identifying areas for improvement and recommending solutions regarding data quality and processes Supporting the Account in knowledge management by establishing and documenting data flows and processes Sound like you Before you apply its worth knowing what we are looking for: Required Qualifications, Skills & Experience 2+ years of data governance / data management related experience in an enterprise environment across multiple application systems and business functions Strong experience in Client Relationship Management Experience in a role of business analyst or similar Familiarity with SQL and database management processes High level of attention to detail and accuracy and ability to make effective decisions and solve problems Knowledge of data lifecycle and maintenance processes Good understanding of data quality management (processes and concepts) Knowledge of data governance and how it impacts business processes Advanced skills in MS Excel, Word, and PowerPoint required Skills Relationship management skills: excellent listening and consultative capability, the ability to influence and negotiate with business and technology partners to drive change, and the ability to take a broad perspective and make key connections Strong ownership - responsibility paired with engagement Demonstrated information management, analytics and data profiling skills. Control, compliance, audit, risk management and relevant experience in risk identification, assessment, monitoring, and remediation will be helpful. Ability to establish and maintain a high level of customer trust and confidence in the overall information and analytics space. Excellent oral, written, and presentation communication skills. Strong negotiation and group facilitation skills; ability to move a process forward, while meeting the needs of a variety of clients. Ability to work with various levels of peers including analysts, developers and executives regarding complex business and data related issues. Consulting and organization skills. Demonstrated ability to facilitate mission-critical projects. Manage task timelines and deliverable schedules, recognize and share risks and roadblocks. Collaborative, imaginative, resourceful, reliable, technically savvy. Superior ability to manage, manipulate and analyze raw data, draw conclusions, and develop actionable recommendations using technology. Articulate the issues and resolutions via business-friendly communications. Serve as primary day-to-day contact for regional data management issues. Good understanding of data quality management. Knowledge of data governance and how it impacts business processes.

About the role Data Governance Advisor Clients and Accounts Advisory Services, Core This role will maintain and develop the data governance and management function for the account in the regional context, with tight cooperation with the global structures. This role will be responsible for building a solid and long-term data governance program aimed at reducing organizational risks coming from poor quality real estate data. This position will report to the Regional Data Governance Lead Clients and Accounts Advisory Service of the CPOs organization in JLLT. Responsibilities Establishment and ongoing development of Client Account data governance and management framework across service lines to ensure the consistency and integrity of the data Data profiling followed by defining and maintenance of Client Account Data Governance compliance, usage, and quality metrics, and facilitating errors remediation with Data Stewards Master Data Management for critical data elements; maintenance of the key repository involving gatekeeping of standards, and promoting the procedures Daily business communication and relationship building with multiple stakeholders, both internal and external, to solve ongoing data issues and democratize knowledge on data, including development of mature Data Stewardship program Creation and maintenance of the Data Dictionaries Facilitating meetings with data consumers, data stewards, data producers and other stakeholders to ensure data governance rules and standards are applied to data related changes/ projects Partnering with the IT, BI and service lines counterparts to understand the business context for data management activities Identifying areas for improvement and recommending solutions regarding data quality and processes Supporting the Account in knowledge management by establishing and documenting data flows and processes Sounds like you To apply you need to be: Required Qualifications, Skills & Experience 5+ years of data governance data management related experience in an enterprise environment across multiple application systems and business functions Strong experience in Client Relationship Management Experience in Change Management and business analyst role Familiarity with SQL and database management processes High level of attention to detail and accuracy and ability to make effective decisions and solve problems Knowledge of data lifecycle and maintenance processes Good understanding of data quality management (processes and concepts) Knowledge of data governance and how it impacts business processes Advanced skills in MS Excel, Word, and PowerPoint required Skills & Competencies Relationship management skills that include excellent listening and consultative capability, the ability to influence and negotiate with business and technology partners to drive change, and the ability to take a broad perspective and make key connections Demonstrated information management, analytics and data profiling skills. Control, compliance, audit, risk management and relevant experience in risk identification, assessment, monitoring, and remediation will be helpful. Understanding of global organizational design and the ability to shape and drive large-scale, cross-functional programs around people, technology, processes, and tools. Demonstrated ability to balance long-term strategy with quick wins. Demonstrated ability for strategic influencing and education of cross-functional stakeholders about the strategic importance and value of data governance. Experience managing small professional teams and delivering results. Ability to establish and maintain a high level of customer trust and confidence in the overall information and analytics space. Excellent oral, written, and presentation communication skills. Strong negotiation and group facilitation skills; ability to move a process forward, while meeting the needs of a variety of clients. Ability to work with various levels of peers including analysts, developers and executives regarding complex business and data related issues. Superior project management/ consulting and leadership skills. Demonstrated ability to facilitate complex, mission critical projects and to develop, participate in and guide multi-disciplinary work teams. Manage task timelines and deliverable schedules and share concerns about deliverables, timelines, and issues with Global Data Governance. Excellent managerial skills; collaborative, imaginative, resourceful, reliable, technically savvy. Apply listening and consultative skills to understand business needs; be able to interpret requirements, identify impacts and analyze problems to determine impacts to business processes across the organization. Professional consulting skills are desired. Superior ability to manage, manipulate and analyze raw data, draw conclusions, and develop actionable recommendations using technology. Articulate the issues and resolutions via business-friendly communications. Serve as primary day-to-day contact for regional data management issues. Good understanding of data quality management. Knowledge of data governance and how it impacts business processes. Knowledge of data management in a global environment, including data lifecycle and maintenance processes. Ability to work well under deadlines in a multi-tasking production environment to make good judgments about competing priorities. Ability to tell a story to explain or sell a concept. Skills in MS Visio, Word and PowerPoint is a plus. Youll join an entrepreneurial, inclusive culture. One where we succeed together across the desk and around the globe. Where like-minded people work naturally together to achieve great things.

About the role Data Governance Advisor Clients and Accounts Advisory Services, Core This role will maintain and develop the data governance and management function for the account in the regional context, with tight cooperation with the global structures. This role will be responsible for building a solid and long-term data governance program aimed at reducing organizational risks coming from poor quality real estate data. This position will report to the Regional Data Governance Lead Clients and Accounts Advisory Service of the CPOs organization in JLLT. Responsibilities Establishment and ongoing development of Client Account data governance and management framework across service lines to ensure the consistency and integrity of the data Data profiling followed by defining and maintenance of Client Account Data Governance compliance, usage, and quality metrics, and facilitating errors remediation with Data Stewards Master Data Management for critical data elements; maintenance of the key repository involving gatekeeping of standards, and promoting the procedures Daily business communication and relationship building with multiple stakeholders, both internal and external, to solve ongoing data issues and democratize knowledge on data, including development of mature Data Stewardship program Creation and maintenance of the Data Dictionaries Facilitating meetings with data consumers, data stewards, data producers and other stakeholders to ensure data governance rules and standards are applied to data related changes/ projects Partnering with the IT, BI and service lines counterparts to understand the business context for data management activities Identifying areas for improvement and recommending solutions regarding data quality and processes Supporting the Account in knowledge management by establishing and documenting data flows and processes Sounds like you To apply you need to be: Required Qualifications, Skills & Experience 5+ years of data governance data management related experience in an enterprise environment across multiple application systems and business functions Strong experience in Client Relationship Management Experience in Change Management and business analyst role Familiarity with SQL and database management processes High level of attention to detail and accuracy and ability to make effective decisions and solve problems Knowledge of data lifecycle and maintenance processes Good understanding of data quality management (processes and concepts) Knowledge of data governance and how it impacts business processes Advanced skills in MS Excel, Word, and PowerPoint required Skills & Competencies Relationship management skills that include excellent listening and consultative capability, the ability to influence and negotiate with business and technology partners to drive change, and the ability to take a broad perspective and make key connections Demonstrated information management, analytics and data profiling skills. Control, compliance, audit, risk management and relevant experience in risk identification, assessment, monitoring, and remediation will be helpful. Understanding of global organizational design and the ability to shape and drive large-scale, cross-functional programs around people, technology, processes, and tools. Demonstrated ability to balance long-term strategy with quick wins. Demonstrated ability for strategic influencing and education of cross-functional stakeholders about the strategic importance and value of data governance. Experience managing small professional teams and delivering results. Ability to establish and maintain a high level of customer trust and confidence in the overall information and analytics space. Excellent oral, written, and presentation communication skills. Strong negotiation and group facilitation skills; ability to move a process forward, while meeting the needs of a variety of clients. Ability to work with various levels of peers including analysts, developers and executives regarding complex business and data related issues. Superior project management/ consulting and leadership skills. Demonstrated ability to facilitate complex, mission critical projects and to develop, participate in and guide multi-disciplinary work teams. Manage task timelines and deliverable schedules and share concerns about deliverables, timelines, and issues with Global Data Governance. Excellent managerial skills; collaborative, imaginative, resourceful, reliable, technically savvy. Apply listening and consultative skills to understand business needs; be able to interpret requirements, identify impacts and analyze problems to determine impacts to business processes across the organization. Professional consulting skills are desired. Superior ability to manage, manipulate and analyze raw data, draw conclusions, and develop actionable recommendations using technology. Articulate the issues and resolutions via business-friendly communications. Serve as primary day-to-day contact for regional data management issues. Good understanding of data quality management. Knowledge of data governance and how it impacts business processes. Knowledge of data management in a global environment, including data lifecycle and maintenance processes. Ability to work well under deadlines in a multi-tasking production environment to make good judgments about competing priorities. Ability to tell a story to explain or sell a concept. Skills in MS Visio, Word and PowerPoint is a plus. Youll join an entrepreneurial, inclusive culture. One where we succeed together across the desk and around the globe. Where like-minded people work naturally together to achieve great things.

About The Role 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 : Databricks Unified Data Analytics Platform Good to have skills : NA Minimum 5 year(s) of experience is required Educational Qualification : 15 years full time education Summary :As an Application Lead, you will lead the effort to design, build, and configure applications, acting as the primary point of contact. Your typical day will involve collaborating with various teams to ensure that application development aligns with business objectives, overseeing project timelines, and facilitating communication among stakeholders to drive successful project outcomes. You will also engage in problem-solving activities, providing guidance and support to your team while ensuring that best practices are followed throughout the development process. Your role will be pivotal in shaping the direction of application projects and ensuring that they meet the needs of the organization and its clients. 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 training and development opportunities for team members to enhance their skills.- Monitor project progress and implement necessary adjustments to ensure timely delivery. Professional & Technical Skills: - Must To Have Skills: Proficiency in Databricks Unified Data Analytics Platform.- Strong understanding of data integration and ETL processes.- Experience with cloud computing platforms and services.- Familiarity with data governance and compliance standards.- Ability to analyze and interpret complex data sets to inform decision-making. Additional Information:- The candidate should have minimum 5 years of experience in Databricks Unified Data Analytics Platform.- This position is based at our Chennai office.- A 15 years full time education is required. Qualification 15 years full time education

About The Role 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 : Snowflake Data Warehouse, logistics, training plans and programs Good to have skills : NA Minimum 3 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, providing insights and solutions to enhance application performance and user experience. Your role will require you to stay updated with the latest technologies and methodologies to ensure the applications are built using best practices, while also mentoring team members to foster a collaborative environment. 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 communication between technical teams and stakeholders to ensure alignment on project goals.- Analyze application performance and implement improvements as necessary. Professional & Technical Skills: - Must To Have Skills: Proficiency in Snowflake Data Warehouse.- Strong understanding of data modeling and ETL processes.- Experience with cloud-based data solutions and architecture.- Familiarity with SQL and data querying techniques.- Knowledge of data governance and compliance standards. Additional Information:- The candidate should have minimum 3 years of experience in Snowflake Data Warehouse.- This position is based at our Chennai office.- A 15 years full time education is required. Qualification 15 years full time education