1106 Data Integration Jobs - Page 11

Overview The Climate Data and Content Services team is responsible for the research and assessment of carbon footprint and business initiatives related to climate change for approximately 14,000 companies globally. The team’s research is focused on climate-related metrics, which include carbon emissions, energy performance, and climate change targets and commitments, using a variety of sources, such as annual reports, sustainability reports, quantitative data feeds from third-party providers, news publications, and other company disclosures. Responsibilities Your primary responsibility is to contribute to the sector expertise of the team and to support all our climate data integration efforts. You will support the quality of our Climate Change Metrics data set within your sector and engage with internal and external stakeholders for better understanding of methodology and data. Your tasks will include reviewing and validating climate data provided by vendors and issuers. In addition, you are expected to address queries pertaining to our Climate data from our internal and external users, reconciling data challenges, training users on our methodologies and processes, and maintaining process documentation. Work with a global team of researchers, data and IT specialists, and vendors to enhance and improve our research and assessment of companies’ carbon footprint, climate change targets and commitments, and climate change mitigation practices. Capture and transform climate data metrics into meaningful information/ratings/scores; Drive coverage and content expansion projects defined by the business; Update and refine industry assessment guides for data collectors and internal analysts; Qualifications Bachelor's degree in finance, statistics, sustainability, environmental science, business, or related degrees. Knowledge of climate change issues and regulations, including carbon offsets, climate reporting standards (e.g. TCFD, ISSB) and frameworks (e.g. IPCC, UNFCCC, etc.). Minimum of 5+ years working experience in Energy (Oil & Gas) or Industrials or Transport sectors and/or a background on GHG assessments, GRI reporting, or environmental impact assessments. Experience in data visualization tools is desirable. Ability to articulate and communicate complex concepts with ease. Fast learner and strong logical thinker. Ability to work under minimal supervision. What we offer you Transparent compensation schemes and comprehensive employee benefits, tailored to your location, ensuring your financial security, health, and overall wellbeing. Flexible working arrangements, advanced technology, and collaborative workspaces. A culture of high performance and innovation where we experiment with new ideas and take responsibility for achieving results. A global network of talented colleagues, who inspire, support, and share their expertise to innovate and deliver for our clients. Global Orientation program to kickstart your journey, followed by access to our Learning@MSCI platform, LinkedIn Learning Pro and tailored learning opportunities for ongoing skills development. Multi-directional career paths that offer professional growth and development through new challenges, internal mobility and expanded roles. We actively nurture an environment that builds a sense of inclusion belonging and connection, including eight Employee Resource Groups. All Abilities, Asian Support Network, Black Leadership Network, Climate Action Network, Hola! MSCI, Pride & Allies, Women in Tech, and Women’s Leadership Forum. At MSCI we are passionate about what we do, and we are inspired by our purpose – to power better investment decisions. You’ll be part of an industry-leading network of creative, curious, and entrepreneurial pioneers. This is a space where you can challenge yourself, set new standards and perform beyond expectations for yourself, our clients, and our industry. MSCI is a leading provider of critical decision support tools and services for the global investment community. With over 50 years of expertise in research, data, and technology, we power better investment decisions by enabling clients to understand and analyze key drivers of risk and return and confidently build more effective portfolios. We create industry-leading research-enhanced solutions that clients use to gain insight into and improve transparency across the investment process. MSCI Inc. is an equal opportunity employer. It is the policy of the firm to ensure equal employment opportunity without discrimination or harassment on the basis of race, color, religion, creed, age, sex, gender, gender identity, sexual orientation, national origin, citizenship, disability, marital and civil partnership/union status, pregnancy (including unlawful discrimination on the basis of a legally protected parental leave), veteran status, or any other characteristic protected by law. MSCI is also committed to working with and providing reasonable accommodations to individuals with disabilities. If you are an individual with a disability and would like to request a reasonable accommodation for any part of the application process, please email Disability.Assistance@msci.com and indicate the specifics of the assistance needed. Please note, this e-mail is intended only for individuals who are requesting a reasonable workplace accommodation; it is not intended for other inquiries. To all recruitment agencies MSCI does not accept unsolicited CVs/Resumes. Please do not forward CVs/Resumes to any MSCI employee, location, or website. MSCI is not responsible for any fees related to unsolicited CVs/Resumes. Note on recruitment scams We are aware of recruitment scams where fraudsters impersonating MSCI personnel may try and elicit personal information from job seekers. Read our full note on careers.msci.com

Job Summary We are seeking a highly skilled Sr. Developer with 3 to 10 years of experience specializing in Reltio MDM. The ideal candidate will work in a hybrid model with day shifts. This role does not require travel. The candidate will contribute to the companys mission by developing and maintaining high-quality MDM solutions that drive business success and societal impact. Responsibilities Develop and maintain Reltio MDM solutions to ensure data quality and integrity. Collaborate with cross-functional teams to gather and analyze business requirements. Design and implement data models and workflows in Reltio MDM. Provide technical expertise and support for Reltio MDM configurations and customizations. Conduct performance tuning and optimization of Reltio MDM applications. Ensure compliance with data governance and security policies. Troubleshoot and resolve issues related to Reltio MDM. Create and maintain technical documentation for Reltio MDM solutions. Participate in code reviews and provide constructive feedback to team members. Stay updated with the latest trends and best practices in MDM and data management. Contribute to the continuous improvement of development processes and methodologies. Mentor junior developers and provide guidance on best practices. Collaborate with stakeholders to ensure successful project delivery. Qualifications Possess strong expertise in Reltio MDM and data management. Have a solid understanding of data modeling and data integration techniques. Demonstrate proficiency in performance tuning and optimization. Show experience in troubleshooting and resolving technical issues. Exhibit excellent communication and collaboration skills. Have a strong attention to detail and a commitment to quality. Be able to work independently and as part of a team. Display a proactive approach to learning and staying current with industry trends. Possess a bachelors degree in Computer Science or a related field. Have experience with Agile development methodologies. Show the ability to mentor and guide junior team members. Demonstrate strong problem-solving skills. Be committed to delivering high-quality solutions that meet business needs. Certifications Required N

Designation Associate Process Manager (MIS Reporting and Analytics) Qualification - Graduate Experience - 5+ Yrs, including experience in people management. Must be handling a team of MIS/Reporting and Analytics Only in Excel Location: Chandigarh Department: Reporting & Analytics Shift Timing: Night Shift/Day Shift,But must be flexible as in when required NOTE: We do not require a Power BI resource. Only candidates with expertise in Excel and experience in data visualization using Excel will be considered." Key Responsibilities: Responsible for deliverables of Reporting Analytics team, includes leading team of 2 - 3 Associates Process Manager and a span of 10-15 member team of Reporting Analysts and Sr. Reporting Analysts Establish data governance protocols to ensure data quality, security, and compliance with relevant regulations. **Reporting, Visualization, and Communication: Design and implement effective reporting frameworks, utilizing advanced data visualization tools to present findings to diverse audiences. Prepare and deliver presentations to senior leadership, articulating insights and recommendations in a clear and actionable manner. **Technical Skills: 1. Database Management: Strong knowledge of SQL for querying databases and extracting data. Familiarity with database management systems like Microsoft SQL Server 2. Data Visualization: Proficiency in visualization tools like Excel dashboard, PowerPoint, Tableau to create meaningful visual representations of data. Ability to create visually appealing and informative reports and dashboards that convey insights effectively. Understanding of how to design effective visualizations and best practices in data visualization design. Interested candidates please share resumes on - Shilpam.01@eclerx.com . or Call on 9999641605

*ONLY IMMEDIATE JOINERS* Requirement : Senior Business Analyst (Data Application & Integration) Experience: 9+ Years Location: Gurgaon (Hybrid) Job Summary: We are seeking an experienced Senior Business Analyst (Data Application & Integration) to drive key data and integration initiatives. The ideal candidate will have a strong business analysis background and a deep understanding of data applications, API integrations, and cloud-based platforms like Salesforce, Informatica, DBT, IICS, and Snowflake . Key Responsibilities: Gather, document, and analyse business requirements for data application and integration projects. Work closely with business stakeholders to translate business needs into technical solutions. Design and oversee API integrations to ensure seamless data flow across platforms. Collaborate with cross-functional teams including developers, data engineers, and architects. Define and maintain data integration strategies, ensuring high availability and security. Work on Salesforce, Informatica, and Snowflake to streamline data management and analytics. Develop use cases, process flows, and documentation to support business and technical teams. Ensure compliance with data governance and security best practices. Act as a liaison between business teams and technical teams, providing insights and recommendations. Key Skills & Requirements: Strong expertise in business analysis methodologies and data-driven decision-making. Hands-on experience with API integration and data application management. Proficiency in Salesforce, Informatica, DBT, IICS, and Snowflake . Strong analytical and problem-solving skills. Ability to work in an Agile environment and collaborate with multi-functional teams. Excellent communication and stakeholder management skills.

Project Role : Data Architect Project Role Description : Define the data requirements and structure for the application. Model and design the application data structure, storage and integration. Must have skills : Data Consulting Good to have skills : NA Minimum 5 year(s) of experience is required Educational Qualification : 15 years full time education Summary: As a Data Architect, you will define the data requirements and structure for the application. Model and design the application data structure, storage, and integration. Show creativity in developing innovative data solutions and strategies to meet business needs. 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 data architecture design and implementation. - Develop data models and database design. - Implement data security and privacy measures. - Optimize data storage and retrieval processes. Professional & Technical Skills: - Must To Have Skills: Proficiency in Data Consulting. - Strong understanding of data modeling and database design. - Experience with data integration and ETL processes. - Knowledge of data security and privacy best practices. - Hands-on experience with data visualization tools. - Good To Have Skills: Experience with cloud-based data solutions. Additional Information: - The candidate should have a minimum of 5 years of experience in Data Consulting. - This position is based at our Pune office. - A 15 years full time education is required.

EPM Solution Architect Key Responsibilities: Extensive experience in collaborating with business stakeholders to gather functional requirements and convert them into technical specifications. Skilled in analyzing complex concepts and proposals to generate a variety of actionable recommendations. Leverage diverse information sources, including stakeholder insights, to craft effective solutions and recommendations. Proven history of designing and implementing large-scale, impactful solutions. Strong understanding of financial statements, including Income Statement, Balance Sheet, Cash Flow, workforce planning, capital expenditure planning, strategic planning, and various consolidation methods and their corresponding calculations and disclosures. Provide guidance to clients on optimal workload distribution across different systems to improve performance and efficiency. Possess a comprehensive perspective on various processes within the EPM ecosystem, including the integration of EPM with ERP and third-party systems. Committed to staying current with the latest Oracle EPM technologies and best practices through ongoing professional development. Qualifications: Over 8 years of experience in EPM consulting and implementation, specifically with EPM cloud products. Completed four end-to-end implementations in EPM On-premise & Cloud applications. In-depth functional knowledge of financial processes and related functionalities within the EPM domain. Proficient in developing custom integrations using EPM Data Integration, EPM Integration Agent, Pipeline, Groovy Business Rules, and EPM Automate. Practical experience in scripting languages such as Batch, Python, and PowerShell. Capable of thriving in a fast-paced environment and quickly mastering new concepts with minimal supervision. Excellent communication, stakeholder engagement, and team management skills. Familiarity with Service Requests (SRs) and My Oracle Support.

Project Role : Application Developer Project Role Description : Design, build and configure applications to meet business process and application requirements. Must have skills : Adobe Experience Platform (AEP) Minimum 5+ year(s) of experience is required Educational Qualification : 15 years full time education Summary: As an Application Developer, you will design, build, and configure applications to meet business process and application requirements in a dynamic work environment. 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. - Implement innovative solutions to enhance application functionality. - Conduct regular code reviews and ensure coding standards are met. Professional & Technical Skills: - Must To Have Skills: Proficiency in Adobe Experience Platform (AEP). - Strong understanding of data integration and API development. - Experience with cloud-based application development. - Hands-on experience with front-end and back-end development. - Knowledge of Agile methodologies for software development.

We are looking for a Senior Data Lead to lead enterprise-level data modernization and innovation. In this highly strategic role, you will design scalable, secure, and future-ready data architectures, modernize legacy systems, and provide trusted technical leadership across both technology and business teams. This is a unique opportunity to make a company-wide impact by influencing data strategy and enabling smarter, faster decision-making through data. Key Responsibilities Architect & Design: Lead the development of robust, scalable data models, data management systems, and integration frameworks to ensure enterprise-wide data accuracy, consistency, and security. Domain Expertise: Act as a subject matter expert across key business functions such as Supply Chain, Product Engineering, Sales & Marketing, Manufacturing, Finance, and Legal. Modernization Leadership: Drive the transformation of legacy systems and manage end-to-end cloud migrations with minimal business disruption. Collaboration: Partner with data engineers, scientists, analysts, and IT leaders to build high-performance, scalable data pipelines and transformation solutions. Governance & Compliance: Establish and maintain data governance frameworks including metadata repositories, data dictionaries, and data lineage documentation. Strategic Advisory: Provide guidance on data architecture best practices, technology selection, and roadmap alignment to senior leadership and cross-functional teams. Mentorship: Serve as a mentor and thought leader to junior data professionals, fostering a culture of innovation, knowledge sharing, and technical excellence. Innovation & Trends: Stay abreast of emerging technologies in cloud, data platforms, and AI/ML to identify and implement innovative solutions. Communication: Translate complex technical concepts into clear, actionable insights for technical and non-technical audiences alike. Required Qualifications 10+ years of experience in data architecture, engineering, or enterprise data management roles. Demonstrated success leading large-scale data initiatives in life sciences or other highly regulated industries. Deep expertise in modern data architecture paradigms such as Data Lakehouse, Data Mesh, or Data Fabric. Strong hands-on experience with cloud platforms like AWS, Azure, or Google Cloud Platform (GCP). Proficiency in data modeling, ETL/ELT frameworks, and enterprise integration patterns. Deep understanding of data governance, metadata management, master data management (MDM), and data quality practices. Experience with tools and platforms including but not limited to: Data Integration: Informatica, Talend Data Governance: Collibra Modeling/Transformation: dbt Cloud Platforms: Snowflake, Databricks Excellent problem-solving skills with the ability to translate business requirements into scalable data solutions. Exceptional communication skills and experience engaging with both executive stakeholders and engineering teams. Preferred Qualifications (Nice to Have) Experience with AI/ML data pipelines or real-time streaming architectures. Certifications in cloud technologies (e.g., AWS Certified Solutions Architect, Azure Data Engineer). Familiarity with regulatory frameworks such as GxP, HIPAA, or GDPR.

Location Gurgaon/Mumbai/Bangalore/Kolkata/Pune Travel Percentage Expected Travel could be anywhere between 0-100% Principal Duties And Responsibilities: Working closely with our clients, Consulting professionals design, build and implement strategies that can help enhance business performance. They develop specialized expertisestrategic, industry, functional, technicalin a diverse project environment that offers multiple opportunities for career growth. The opportunities to make a difference within exciting client initiatives are limitless in this ever-changing business landscape. Here are just a few of your day-to-day responsibilities. Architect large scale data lake, DW, and Delta Lake on cloud solutions using AWS, Azure, GCP, Ali Cloud, Snowflake, Hadoop, or Cloudera Design Data Mesh Strategy and Architecture Build strategy and roadmap for data migration to cloud Establish Data Governance Strategy & Operating Model Implementing programs/interventions that prepare the organization for implementation of new business processes Deep understanding of Data and Analytics platforms, data integration w/ cloud Provide thought leadership to the downstream teams for developing offerings and assets Identifying, assessing, and solvingcomplex business problemsfor area of responsibility, where analysis of situations or data requires an in-depth evaluation of variable factors Overseeing the production and implementation of solutions covering multiple cloud technologies, associated Infrastructure / application architecture, development, and operating models Called upon to apply your solid understanding of Data, Data on cloud and disruptive technologies. Driving enterprise business, application, and integration architecture Helping solve key business problems and challenges by enabling a cloud-based architecture transformation, painting a picture of, and charting a journey from the current state to a to-be enterprise environment Assisting our clients to build the required capabilities for growth and innovation to sustain high performance Managing multi-disciplinary teams to shape, sell, communicate, and implement programs Experience in participating in client presentations & orals for proposal defense etc. Experience in effectively communicating the target state, architecture & topology on cloud to clients Qualification Qualifications: Bachelors degree MBA Degree from Tier-1 College (Preferable) 6-10 years of large-scale consulting experience and/or working with hi tech companies in data architecture, data governance, data mesh, data security and management. Certified on DAMA (Data Management) or Azure Data Architecture or Google Cloud Data Analytics or AWS Data Analytics Experience: We are looking for experienced professionals with Data strategy, data architecture, data on cloud, data modernization, data operating model and data security experience across all stages of the innovation spectrum, with a remit to build the future in real-time. The candidate should have practical industry expertise in one of these areas - Financial Services, Retail, consumer goods, Telecommunications, Life Sciences, Transportation, Hospitality, Automotive/Industrial, Mining and Resources. Key Competencies and Skills: The right candidate should have competency and skills aligned to one or more of these archetypes - Data SME - Experience in deal shaping & strong presentation skills, leading proposal experience, customer orals; technical understanding of data platforms, data on cloud strategy, data strategy, data operating model, change management of data transformation programs, data modeling skills. Data on Cloud Architect - Technical understanding of data platform strategy for data on cloud migrations, big data technologies, experience in architecting large scale data lake and DW on cloud solutions. Experience one or more technologies in this space:AWS, Azure, GCP, AliCloud, Snowflake, Hadoop, Cloudera Data Strategy - Data Capability Maturity Assessment, Data & Analytics / AI Strategy, Data Operating Model & Governance, Data Hub Enablement, Data on Cloud Strategy, Data Architecture Strategy Data Transformation Lead - Understanding of data supply chain and data platforms on cloud, experience in conducting alignment workshops, building value realization framework for data transformations, program management experience Exceptional interpersonal and presentation skills - ability to convey technology and business value propositions to senior stakeholders Capacity to develop high impact thought leadership that articulates a forward-thinking view of the market Other desired skills - Strong desire to work in technology-driven business transformation Strong knowledge of technology trends across IT and digital and how they can be applied to companies to address real world problems and opportunities. Comfort conveying both high-level and detailed information, adjusting the way ideas are presented to better address varying social styles and audiences. Leading proof of concept and/or pilot implementations and defining the plan to scale implementations across multiple technology domains Flexibility to accommodate client travel requirements Published Thought leadership Whitepapers, POVs

Responsibilities A day in the life of an Infoscion As part of the Infosys consulting team, your primary role would be to get to the heart of customer issues, diagnose problem areas, design innovative solutions and facilitate deployment resulting in client delight. You will develop a proposal by owning parts of the proposal document and by giving inputs in solution design based on areas of expertise. You will plan the activities of configuration, configure the product as per the design, conduct conference room pilots and will assist in resolving any queries related to requirements and solution design You will conduct solution/product demonstrations, POC/Proof of Technology workshops and prepare effort estimates which suit the customer budgetary requirements and are in line with organizations financial guidelines Actively lead small projects and contribute to unit-level and organizational initiatives with an objective of providing high quality value adding solutions to customers. If you think you fit right in to help our clients navigate their next in their digital transformation journey, this is the place for you! Technical and Professional Requirements: Technology->Data Management - Data Integration->Ab Initio Preferred Skills: Technology->Data Management - Data Integration->Ab Initio Educational Requirements Bachelor of Engineering Service Line Data & Analytics Unit.

Oracle EPM Architect1 Oracle EPM Architect 15+ years (including minimum 5 years in Oracle EPM implementation/architecture) Seeking a highly skilled Oracle EPM Architect to lead the design, implementation, and management of Oracle Enterprise Performance Management (EPM) solutions. This role requires deep expertise in Oracle EPM Cloud and/or Hyperion stack, including strategic planning, solution design, and technical leadership across financial consolidation, planning, budgeting, and forecasting. Lead the architecture and design of Oracle EPM Cloud solutions, including modules such as: Planning and Budgeting Cloud Service (PBCS/EPBCS) Financial Consolidation and Close (FCCS) Enterprise Data Management (EDM) Profitability and Cost Management (PCM) Define and enforce best practices, integration standards, and governance models for EPM solutions. Engage with finance, IT, and business stakeholders to gather requirements and translate them into scalable EPM designs. Develop roadmaps, implementation strategies, and solution blueprints. Guide technical and functional consultants throughout the implementation lifecycle. Lead data integration efforts between Oracle EPM and ERP/other source systems. Ensure EPM solutions meet performance, security, compliance, and audit standards. Provide thought leadership in Oracle EPM innovations, product releases, and architecture trends. Support migration from on-premise Hyperion applications to EPM Cloud (if applicable). Conduct architecture reviews, performance tuning, and code quality assurance. Support post-go-live activities including training, documentation, and optimization.

Role : Data Visualization Engineer Location : Bangalore, Pune Experience : 4 - 7 Yrs Employment Type : Full Time, Permanent Working mode : Regular Notice Period : Immediate - 15 Day About the Role : We are seeking a skilled Data Visualization Engineer to join our team and transform raw data into actionable insights. You will play a crucial role in designing, developing, and maintaining interactive dashboards and reports using Power BI, Power Apps, Power Query, and Power Automate. Responsibilities : - Data Visualization : Create compelling and informative dashboards and reports using Power BI, effectively communicating complex data to stakeholders. - Data Integration : Import data from various sources (e.g., databases, spreadsheets, APIs) using Power Query and ensure data quality and consistency. - Data Modeling : Develop robust data models in Power BI to support complex analysis and reporting requirements. - Power Apps Development : Create custom applications using Power Apps to enable data-driven decision-making and automate workflows. - Power Automate Integration : Automate repetitive tasks and workflows using Power Automate to improve efficiency and reduce errors. - Cloud Data Analytics : Leverage cloud-based data analytics platforms to process and analyze large datasets. - Collaboration : Work closely with data analysts, data scientists, and business users to understand their requirements and deliver effective visualizations. Qualifications : Experience : 4-7 years of experience in data visualization and business intelligence. Technical Skills : - Proficiency in Power BI, Power Apps, Power Query, and Power Automate. - Strong understanding of data modeling and ETL processes. - Experience working with cloud-based data analytics platforms. - Familiarity with SQL and other data query languages. Soft Skills : - Excellent communication and interpersonal skills. - Strong problem-solving and analytical abilities. - Attention to detail and ability to deliver high-quality work

About the job : Role : Senior Databricks Engineer / Databricks Technical Lead/ Data Architect Experience : 8-15 years Location : Bangalore, Chennai, Delhi, Pune Primary Roles And Responsibilities : - Developing Modern Data Warehouse solutions using Databricks and AWS/ Azure Stack - Ability to provide solutions that are forward-thinking in data engineering and analytics space - Collaborate with DW/BI leads to understand new ETL pipeline development requirements. - Triage issues to find gaps in existing pipelines and fix the issues - Work with business to understand the need in reporting layer and develop data model to fulfill reporting needs - Help joiner team members to resolve issues and technical challenges. - Drive technical discussion with client architect and team members - Orchestrate the data pipelines in scheduler via Airflow Skills And Qualifications : - Bachelor's and/or masters degree in computer science or equivalent experience. - Must have total 6+ yrs. of IT experience and 3+ years' experience in Data warehouse/ETL projects. - Deep understanding of Star and Snowflake dimensional modelling. - Strong knowledge of Data Management principles - Good understanding of Databricks Data & AI platform and Databricks Delta Lake Architecture - Should have hands-on experience in SQL, Python and Spark (PySpark) - Candidate must have experience in AWS/ Azure stack - Desirable to have ETL with batch and streaming (Kinesis). - Experience in building ETL / data warehouse transformation processes - Experience with Apache Kafka for use with streaming data / event-based data - Experience with other Open-Source big data products Hadoop (incl. Hive, Pig, Impala) - Experience with Open Source non-relational / NoSQL data repositories (incl. MongoDB, Cassandra, Neo4J) - Experience working with structured and unstructured data including imaging & geospatial data. - Experience working in a Dev/Ops environment with tools such as Terraform, CircleCI, GIT. - Proficiency in RDBMS, complex SQL, PL/SQL, Unix Shell Scripting, performance tuning and troubleshoot - Databricks Certified Data Engineer Associate/Professional Certification (Desirable). - Comfortable working in a dynamic, fast-paced, innovative environment with several ongoing concurrent projects - Should have experience working in Agile methodology - Strong verbal and written communication skills. - Strong analytical and problem-solving skills with a high attention to detail. Location - Bangalore, Chennai, Delhi / NCR, Pune

Responsibilities: Submitting site maps through google search console and monitoring site health using SEO monitoring tools Strong understanding of domain hosting, registrar transfers, and DNS record management (A, CNAME, MX, TXT, etc.), with the ability to quickly diagnose and resolve propagation, routing, and configuration issues across multiple platforms. Experience with data migration processes, including exporting, transforming, and importing content across CMS platforms, databases, and file systems. Comfortable working in cross-functional environments, collaborating with developers and project managers to ensure seamless technical implementation and support. Familiarity with implementing JSON-based redirects, including creating and managing redirect maps for legacy URLs, ensuring proper HTTP status codes (e.g., 301, 302), and maintaining SEO value during site transitions. Ensuring SEO value retention by minimizing link disruptions and maintaining page authority. Handling keywords during website migration, ensuring metadata, structured data, and on-page optimization are preserved across new pages. Required skills and qualifications: Bachelors or masters degree in computer science, Engineering, or related field. Knowledge of programming languages (HTML, JavaScript, Python, SQL). 5-8 years of experience in a similar role. Experience into google search console and monitoring site health using SEO monitoring tools. Strong hands-on experience on SEO, DNS record management. Experience with cloud environments. Key skills: SEO, metadata, structured data, and on-page optimization, google search console, HTML, JavaScript, Python, SQL, website migration, monitoring site health, DNS record management, HTTP status codes

What you will do In this vital role you will lead the engagement model between Amgen's Technology organization and our global business partners in Commercial Data & Analytics. We seek a technology leader with a passion for innovation and a collaborative working style that partners effectively with business and technology leaders. Are you interested in building a team that consistently delivers business value in an agile model using technologies such as AWS, Databricks, Airflow, and Tableau Come join our team! Roles & Responsibilities: Establish an effective engagement model to collaborate with senior leaders on the Sales Insights product team within the Commercial Data & Analytics organization, focused on operations within the United States Serve as the technology product owner for an agile product team committed to delivering business value to Commercial stakeholders via data pipeline buildout for sales data Lead and mentor junior team members to deliver on the needs of the business Interact with business clients and technology management to create technology roadmaps, build cases, and drive DevOps to achieve the roadmaps Help to mature Agile operating principles through deployment of creative and consistent practices for user story development, robust testing and quality oversight, and focus on user experience Ability to connect and understand our vast array Commercial and other functional data sources including Sales, Activity, and Digital data, etc. into consumable and user-friendly modes (e.g., dashboards, reports, mobile, etc.) for key decision makers such as executives, brand leads, account managers, and field representatives. Become the lead subject matter expert in reporting technology capabilities by researching and implementing new tools and features, internal and external methodologies Basic Qualifications: Masters degree with 8 - 10 years of experience in Information Systems experience OR Bachelors degree with 10 - 14 years of experience in Information Systems experience OR Diploma with 14 - 18 years of experience in Information Systems experience Must-Have Skills Excellent problem-solving skills and a passion for tackling complex challenges in data and analytics with technology Experience leading data and analytics teams in a Scaled Agile Framework (SAFe) Excellent interpersonal skills, strong attention to detail, and ability to influence based on data and business value Ability to build compelling business cases with accurate cost and effort estimations Has experience with writing user requirements and acceptance criteria in agile project management systems such as Jira Ability to explain sophisticated technical concepts to non-technical clients Strong understanding of sales and incentive compensation value streams Preferred Qualifications: Jira Align & Confluence experience Experience of DevOps, Continuous Integration, and Continuous Delivery methodology Understanding of software systems strategy, governance, and infrastructure Experience in managing product features for PI planning and developing product roadmaps and user journeys Familiarity with low-code, no-code test automation software Technical thought leadership Soft Skills: Able to work effectively across multiple geographies (primarily India, Portugal, and the United States) under minimal supervision Demonstrated proficiency in written and verbal communication in English language Skilled in providing oversight and mentoring team members. Demonstrated ability in effectively delegating work Intellectual curiosity and the ability to question partners across functions Ability to prioritize successfully based on business value High degree of initiative and self-motivation Ability to manage multiple priorities successfully across virtual teams Team-oriented, with a focus on achieving team goals Strong presentation and public speaking skills Technical Skills: ETL tools: Experience in ETL tools such as Databricks Redshift or equivalent cloud-based dB Big Data, Analytics, Reporting, Data Lake, and Data Integration technologies S3 or equivalent storage system AWS (similar cloud-based platforms) BI Tools (Tableau and Power BI preferred)

Practice Overview: Skill/Operating Group Technology Consulting Level Consultant Location Gurgaon / Mumbai / Bangalore / Kolkata / Pune Travel Percentage Expected Travel could be anywhere between 0-100% Principal Duties And Responsibilities: Working closely with our clients, Consulting professionals design, build and implement strategies that can help enhance business performance. They develop specialized expertisestrategic, industry, functional, technicalin a diverse project environment that offers multiple opportunities for career growth. The opportunities to make a difference within exciting client initiatives are limitless in this ever-changing business landscape. Here are just a few of your day-to-day responsibilities. Architect large scale data lake, DW, and Delta Lake on cloud solutions using AWS, Azure, GCP, Ali Cloud, Snowflake, Hadoop, or Cloudera Design Data Mesh Strategy and Architecture Build strategy and roadmap for data migration to cloud Establish Data Governance Strategy & Operating Model Implementing programs/interventions that prepare the organization for implementation of new business processes Deep understanding of Data and Analytics platforms, data integration w/ cloud Provide thought leadership to the downstream teams for developing offerings and assets Identifying, assessing, and solvingcomplex business problemsfor area of responsibility, where analysis of situations or data requires an in-depth evaluation of variable factors Overseeing the production and implementation of solutions covering multiple cloud technologies, associated Infrastructure / application architecture, development, and operating models Called upon to apply your solid understanding of Data, Data on cloud and disruptive technologies. Driving enterprise business, application, and integration architecture Helping solve key business problems and challenges by enabling a cloud-based architecture transformation, painting a picture of, and charting a journey from the current state to a to-be enterprise environment Assisting our clients to build the required capabilities for growth and innovation to sustain high performance Managing multi-disciplinary teams to shape, sell, communicate, and implement programs Experience in participating in client presentations & orals for proposal defense etc. Experience in effectively communicating the target state, architecture & topology on cloud to clients Qualifications: Bachelors degree MBA Degree from Tier-1 College (Preferable) 6-10 years of large-scale consulting experience and/or working with hi tech companies in data architecture, data governance, data mesh, data security and management. Certified on DAMA (Data Management) or Azure Data Architecture or Google Cloud Data Analytics or AWS Data Analytics Experience: We are looking for experienced professionals with Data strategy, data architecture, data on cloud, data modernization, data operating model and data security experience across all stages of the innovation spectrum, with a remit to build the future in real-time. The candidate should have practical industry expertise in one of these areas - Financial Services, Retail, consumer goods, Telecommunications, Life Sciences, Transportation, Hospitality, Automotive/Industrial, Mining and Resources. Key Competencies and Skills: The right candidate should have competency and skills aligned to one or more of these archetypes - Data SME - Experience in deal shaping & strong presentation skills, leading proposal experience, customer orals; technical understanding of data platforms, data on cloud strategy, data strategy, data operating model, change management of data transformation programs, data modeling skills. Data on Cloud Architect - Technical understanding of data platform strategy for data on cloud migrations, big data technologies, experience in architecting large scale data lake and DW on cloud solutions. Experience one or more technologies in this space:AWS, Azure, GCP, AliCloud, Snowflake, Hadoop, Cloudera Data Strategy - Data Capability Maturity Assessment, Data & Analytics / AI Strategy, Data Operating Model & Governance, Data Hub Enablement, Data on Cloud Strategy, Data Architecture Strategy Data Transformation Lead - Understanding of data supply chain and data platforms on cloud, experience in conducting alignment workshops, building value realization framework for data transformations, program management experience Exceptional interpersonal and presentation skills - ability to convey technology and business value propositions to senior stakeholders Capacity to develop high impact thought leadership that articulates a forward-thinking view of the market Other desired skills - Strong desire to work in technology-driven business transformation Strong knowledge of technology trends across IT and digital and how they can be applied to companies to address real world problems and opportunities. Comfort conveying both high-level and detailed information, adjusting the way ideas are presented to better address varying social styles and audiences. Leading proof of concept and/or pilot implementations and defining the plan to scale implementations across multiple technology domains Flexibility to accommodate client travel requirements Published Thought leadership Whitepapers, POVs

Educational Qualification: Any Degree Job Title - GN - SONG - MT - CDP - Manager Management Level: 7-Manager Location: Mumbai, MDC2B Must-have skills: Adobe Real-Time CDP Good to have skills: Ability to leverage design thinking, business process optimization, and stakeholder management skills. Job Summary : This role involves driving strategic initiatives, managing business transformations, and leveraging industry expertise to create value-driven solutions. Roles & Responsibilities: Provide strategic advisory services, conduct market research, and develop data-driven recommendations to enhance business performance. The Practice A Brief Sketch The practice is aligned to the Global Network Song Practice of Accenture and works with clients across their marketing, sales and services functions. As part of the team, you will provide transformation services driven by key offerings like Marketing, Sales and Service, Commerce. These services help our clients become living businesses by optimizing their marketing, sales and customer service strategy, thereby driving cost reduction, revenue enhancement, customer satisfaction and impacting business metrics in a positive manner. The Customer Data Platform Manager is a mid-level position within the Marketing transformation vertical of Accenture GN Song. The key responsibilities as Customer Data Platform Manager will include the following: Conduct assessment of clients current data management and Customer Data Platform (CDP) capabilities. Provide recommendations on optimizing the current stack and develop use cases to improve utilization. Gather business requirement and strategize and build clients digital marketing data management program that delivers high performance profiles for segmentation, personalization & activation across Digital channels. Identify different data sources, approaches to enrich customer profiles/segments in CDP (customer data platforms) and define use cases across multiple channels/destinations. Design Data cleaning, transformation, and integration approach from various data sources into CDP. Evaluate and recommend new ways of data management through CDP and how it connects into the broader marketing technology landscape (campaign management and insight generation). Identify, scope and partner with technology solution providers, clients IT, BU teams, compliance, and marketing agencies to deliver the best solution meeting the needs of our clients. Plan, design, implement & integrate CDP solutions such as Adobe Experience Platform RT CDP and work with partners to leverage various data management capabilities offered these solutions. Understand and convey the impact of regulations like CCPA, GDPR and clients own internal or industry regulation on data gathering and management. Should be able to guide towards privacy by design, consent management for customer profile activation across digital marketing channels. Understand and design integrations (including API based/ file-based integrations) b/w tools/platforms of different vendors/ MarTech/AdTech components/ data sources. Stay abreast of MarTech landscape & engage ecosystem players/vendors to ensure best in class digital audience management capabilities for clients. Propose and conduct pilots as needed. Develop and manage a team of CDP specialists by managing key tasks such as work allocation, time management, project SME support, hiring, training etc. Aside from client delivery, the selected candidate will also drive business development efforts and thought leadership in the Martech, CDP and other digital marketing platform space. Key Skills: Excellent oral and written communication skills Creating and maintaining client relationships Strong understanding of Marketing processes, data management, data strategy, data integration, marketing & Advertising technologies and their integrations with other technologies Partner with technology solution providers and marketing agencies to deliver the best solution meeting the needs of our clients. Strong project management skills:ability to mobilize and organize across multiple stakeholders (client and internal) and projects. Professional & Technical Skills: - Relevant experience in the required domain. - Strong analytical, problem-solving, and communication skills. - Ability to work in a fast-paced, dynamic environment. In addition to e xcel at the role , you will also need to have An ability to work with the leadership to support business development and thought leadership. Data-driven mindset within proven utilization of information to drive decisions, calibrate and results. Strong communication and presentation skills to share the perfect pitch with key stakeholders. Strong client handling skills to develop, manage and deepen relationships with key stakeholders. Team building skills to collaborate, work and motivate teams with diverse skills and experience to achieve goals. Ability to work effectively in a remote, virtual, global environment. Ability to work in a fast paced and unstructured environment. Ability to learn new and understand new tools/solutions. Identify new opportunities, develop solutions and own proposals end to end. Contribute to offering development skills to identify areas of growth related to specific skills, platforms, assets etc. that contribute to enhancing the offering. Additional Information: - Opportunity to work on innovative projects. - Career growth and leadership exposure.

Data Cleansing & Integration Project Delivery: Execute high visibility data programs as assigned by the Data Cleansing Manager. Utilize SAP data load solutions such as SAP Migration Cockpit and LSMW for data loading and template creation. FDO Data Change Management Methodology: Assist in defining data cleansing approaches using Mass Change functionality. Develop and prepare data cleansing strategies. Data Cleansing & Integration Technical Guidance: Understand SAP landscape and data flow to underlying/consumed systems to prevent data synchronization issues. Data Quality: Collaborate with the Data Quality (DQ) team to define DQ rules and enhance visibility of existing data quality. Data Governance: Work with the Data Governance (DG) team to ensure proper governance before implementing system changes. Conduct necessary data load testing in test systems. Data Sourcing: Maintain and update the data catalogue/data dictionary, creating a defined list of data sources indicating the best versions (golden copies). Data Ingestion: Collaborate with DG and project teams on data harmonization by integrating data from multiple sources. Develop sustainable integration routines and methods. Qualifications: Experience: Minimum of 6 years in data-related disciplines such as data management, quality, and cleansing. Technical Skills: Proven experience in delivering data initiatives (cleansing, integration, migrations) using established technical data change methodologies. Proficiency in handling large data sets with tools like Microsoft Excel and Power BI. Experience with SAP native migration and cleansing tools such as SAP Migration Cockpit, LSMW, and MASS. Knowledge of Master Data Management in SAP MDG, SAP ECC, and associated data structures. Collaboration: Ability to work effectively with internal cross-functional teams.

Educational Requirements Bachelor of Engineering Service Line Data & Analytics Unit Responsibilities A day in the life of an Infoscion As part of the Infosys consulting team, your primary role would be to get to the heart of customer issues, diagnose problem areas, design innovative solutions and facilitate deployment resulting in client delight. You will develop a proposal by owning parts of the proposal document and by giving inputs in solution design based on areas of expertise. You will plan the activities of configuration, configure the product as per the design, conduct conference room pilots and will assist in resolving any queries related to requirements and solution design You will conduct solution/product demonstrations, POC/Proof of Technology workshops and prepare effort estimates which suit the customer budgetary requirements and are in line with organizations financial guidelines Actively lead small projects and contribute to unit-level and organizational initiatives with an objective of providing high quality value adding solutions to customers. If you think you fit right in to help our clients navigate their next in their digital transformation journey, this is the place for you! Technical and Professional Requirements: Technology->Data Management - Data Integration->Talend Preferred Skills: Technology->Data Management - Data Integration->Talend

Educational Requirements Bachelor of Engineering Service Line Data & Analytics Unit Responsibilities A day in the life of an Infoscion As part of the Infosys consulting team, your primary role would be to get to the heart of customer issues, diagnose problem areas, design innovative solutions and facilitate deployment resulting in client delight. You will develop a proposal by owning parts of the proposal document and by giving inputs in solution design based on areas of expertise. You will plan the activities of configuration, configure the product as per the design, conduct conference room pilots and will assist in resolving any queries related to requirements and solution design You will conduct solution/product demonstrations, POC/Proof of Technology workshops and prepare effort estimates which suit the customer budgetary requirements and are in line with organizations financial guidelines Actively lead small projects and contribute to unit-level and organizational initiatives with an objective of providing high quality value adding solutions to customers. If you think you fit right in to help our clients navigate their next in their digital transformation journey, this is the place for you! Technical and Professional Requirements: Technology-> Database-> Teradata Preferred Skills: Technology-> Database-> Teradata

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

Schneider Digital is seeking an Informatica developer who will be an excellent addition to the forBusiness Intelligence team. Responsibilities: This role is for BI KPI portal operations and Development. Domains including: Data Integration, Data Extraction from Legacy systems, Data Warehousing, efficient in Extract/Load/Transform (ETL)workflows (Informatica PowerCenter and Informatica cloud services) Strong experience in design, development and testing of Informatica based applications (PowerCenter10.2 and Informatica cloud services) Should have Strong knowledge of Oracle database, PL/SQL development, UNIX scripting. Should understand the overall system landscape, upstream and downstream systems Excellent knowledge of debugging, tuning and optimizing performance of database queries Good experience in Data Integration: Data Extraction from legacy systems and Load into Redshift and Redshift spectrum. Supports the module in production, resolves hot issues and implement and deploy enhancements to the application/package Should be proficient in the end-to-end software development life cycle including: Requirement Analysis, Design, Development, Code Review, Testing Responsible for ensuring defect-free and on-time delivery Responsible for Issue resolution along with corrective and preventive measures. Should be able to manage diverse set of Stakeholders and report on key project metric / KPIs Lead brainstorming sessions, provide guidance to team members, identify value creation areas, be responsible for quality control Establish standard processes and procedures and promote team collaboration & selfimprovements Should be able to work on agile Methodologies (Jira) Internal Qualification & Education: Graduate Engineering Degree (B.E. / B.Tech) 4+ years of experience working as Informatica, Informatica cloud, Data warehousing and Unix Scripting 4+ years of experience working in Agile teams Demonstrates strong ability to articulate technical concepts and implications to business partners Excellent communication skills Roles and Responsibilities Strong experience in design, development and testing of Informatica based applications (PowerCenter10.2 and Informatica cloud services) Should have Strong knowledge of Oracle database, PL/SQL development, UNIX scripting. Should understand the overall system landscape, upstream and downstream systems Excellent knowledge of debugging, tuning and optimizing performance of database queries Good experience in Data Integration: Data Extraction from legacy systems and Load into Redshift and Redshift spectrum. Supports the module in production, resolves hot issues and implement and deploy enhancements to the application/package

Educational Requirements Bachelor of Engineering Service Line Data & Analytics Unit Responsibilities A day in the life of an Infoscion As part of the Infosys consulting team, your primary role would be to get to the heart of customer issues, diagnose problem areas, design innovative solutions and facilitate deployment resulting in client delight. You will develop a proposal by owning parts of the proposal document and by giving inputs in solution design based on areas of expertise. You will plan the activities of configuration, configure the product as per the design, conduct conference room pilots and will assist in resolving any queries related to requirements and solution design You will conduct solution/product demonstrations, POC/Proof of Technology workshops and prepare effort estimates which suit the customer budgetary requirements and are in line with organizations financial guidelines Actively lead small projects and contribute to unit-level and organizational initiatives with an objective of providing high quality value adding solutions to customers. If you think you fit right in to help our clients navigate their next in their digital transformation journey, this is the place for you! Technical and Professional Requirements: Primary skills:Technology->Data Management - Data Integration Administration->Informatica Administration Preferred Skills: Technology->Data Management - Data Integration Administration->Informatica Administration

Synechron is seeking a knowledgeable and proactive Data Modeler to guide the design and development of data structures that support our clients' business objectives. In this role, you will collaborate with cross-functional teams to translate business requirements into scalable and efficient data models, ensuring data accuracy, consistency, and integrity. You will contribute to creating sustainable and compliant data architectures that leverage emerging technologies such as cloud, IoT, mobile, and blockchain. Your work will be instrumental in enabling data-driven decision-making and operational excellence across projects.Software Required Skills: Strong understanding of data modeling concepts, methodologies, and tools Experience with data modeling for diverse technology platforms including cloud, mobile, IoT, and blockchain Familiarity with database management systems (e.g., relational, NoSQL) Knowledge of SDLC and Agile development practices Proficiency in modeling tools such as ERwin, PowerDesigner, or similar Preferred Skills: Experience with data integration tools and ETL processes Knowledge of data governance and compliance standards Familiarity with cloud platforms (AWS, Azure, GCP) and how they impact data architectureOverall Responsibilities Collaborate with business analysts, data engineers, and stakeholders to understand data requirements and translate them into robust data models Design logical and physical data models optimized for performance, scalability, and maintainability Develop and maintain documentation for data structures, including data dictionaries and metadata Conduct reviews of data models and code to ensure adherence to quality standards and best practices Assist in designing data security and privacy measures in alignment with organizational policies Stay informed about emerging data modeling trends and incorporate best practices into project delivery Support data migration, integration, and transformation activities as needed Provide technical guidance and mentorship related to data modeling standardsTechnical Skills (By Category) Data Modeling & Data Management: EssentialLogical/physical data modeling, ER diagrams, data dictionaries PreferredDimensional modeling, data warehousing, master data management Programming Languages: PreferredSQL (expertise in writing complex queries) OptionalPython, R for data analysis and scripting Databases & Data Storage Technologies: EssentialRelational databases (e.g., Oracle, SQL Server, MySQL) PreferredNoSQL (e.g., MongoDB, Cassandra), cloud-native data stores Cloud Technologies: PreferredBasic understanding of cloud data solutions (AWS, Azure, GCP) Frameworks & Libraries: Not typically required, but familiarity with data integration frameworks is advantageous Development Tools & Methodologies: EssentialData modeling tools (ERwin, PowerDesigner), version control (Git), Agile/Scrum workflows Security & Compliance: Knowledge of data security best practices, regulatory standards like GDPR, HIPAAExperience Minimum of 8+ years of direct experience in data modeling, data architecture, or related roles Proven experience designing data models for complex systems across multiple platforms (cloud, mobile, IoT, blockchain) Experience working in Agile environments using tools like JIRA, Confluence, Git Preference for candidates with experience supporting data governance and data quality initiativesNoteEquivalent demonstrated experience in relevant projects or certifications can qualify candidates.Day-to-Day Activities Participate in daily stand-ups and project planning sessions Collaborate with cross-functional teams to understand and analyze business requirements Create, review, and refine data models and associated documentation Develop data schemas, dictionaries, and standards to ensure consistency Support data migration, integration, and performance tuning activities Conduct peer reviews and provide feedback on data models and solutions Keep current with the latest industry developments in data architecture and modeling Troubleshoot and resolve data-related technical issuesQualifications Bachelors or Masters degree in Computer Science, Data Science, Information Technology, or related fields Demonstrated experience with data modeling tools and techniques in diverse technological environments Certifications related to data modeling, data management, or cloud platforms (preferred)Professional Competencies Strong analytical and critical thinking skills to develop optimal data solutions Effective communication skills for translating technical concepts to non-technical stakeholders Ability to work independently and in collaborative team environments Skilled problem solver able to handle complex data challenges Adaptability to rapidly evolving technologies and project requirements Excellent time management and prioritization skills to deliver quality outputs consistently

Synechron is seeking a knowledgeable and proactive Data Modeler to guide the design and development of data structures that support our clients' business objectives. In this role, you will collaborate with cross-functional teams to translate business requirements into scalable and efficient data models, ensuring data accuracy, consistency, and integrity. You will contribute to creating sustainable and compliant data architectures that leverage emerging technologies such as cloud, IoT, mobile, and blockchain. Your work will be instrumental in enabling data-driven decision-making and operational excellence across projects.Software Required Skills: Strong understanding of data modeling concepts, methodologies, and tools Experience with data modeling for diverse technology platforms including cloud, mobile, IoT, and blockchain Familiarity with database management systems (e.g., relational, NoSQL) Knowledge of SDLC and Agile development practices Proficiency in modeling tools such as ERwin, PowerDesigner, or similar Preferred Skills: Experience with data integration tools and ETL processes Knowledge of data governance and compliance standards Familiarity with cloud platforms (AWS, Azure, GCP) and how they impact data architectureOverall Responsibilities Collaborate with business analysts, data engineers, and stakeholders to understand data requirements and translate them into robust data models Design logical and physical data models optimized for performance, scalability, and maintainability Develop and maintain documentation for data structures, including data dictionaries and metadata Conduct reviews of data models and code to ensure adherence to quality standards and best practices Assist in designing data security and privacy measures in alignment with organizational policies Stay informed about emerging data modeling trends and incorporate best practices into project delivery Support data migration, integration, and transformation activities as needed Provide technical guidance and mentorship related to data modeling standardsTechnical Skills (By Category) Data Modeling & Data Management: EssentialLogical/physical data modeling, ER diagrams, data dictionaries PreferredDimensional modeling, data warehousing, master data management Programming Languages: PreferredSQL (expertise in writing complex queries) OptionalPython, R for data analysis and scripting Databases & Data Storage Technologies: EssentialRelational databases (e.g., Oracle, SQL Server, MySQL) PreferredNoSQL (e.g., MongoDB, Cassandra), cloud-native data stores Cloud Technologies: PreferredBasic understanding of cloud data solutions (AWS, Azure, GCP) Frameworks & Libraries: Not typically required, but familiarity with data integration frameworks is advantageous Development Tools & Methodologies: EssentialData modeling tools (ERwin, PowerDesigner), version control (Git), Agile/Scrum workflows Security & Compliance: Knowledge of data security best practices, regulatory standards like GDPR, HIPAAExperience Minimum of 8+ years of direct experience in data modeling, data architecture, or related roles Proven experience designing data models for complex systems across multiple platforms (cloud, mobile, IoT, blockchain) Experience working in Agile environments using tools like JIRA, Confluence, Git Preference for candidates with experience supporting data governance and data quality initiativesNoteEquivalent demonstrated experience in relevant projects or certifications can qualify candidates.Day-to-Day Activities Participate in daily stand-ups and project planning sessions Collaborate with cross-functional teams to understand and analyze business requirements Create, review, and refine data models and associated documentation Develop data schemas, dictionaries, and standards to ensure consistency Support data migration, integration, and performance tuning activities Conduct peer reviews and provide feedback on data models and solutions Keep current with the latest industry developments in data architecture and modeling Troubleshoot and resolve data-related technical issuesQualifications Bachelors or Masters degree in Computer Science, Data Science, Information Technology, or related fields Demonstrated experience with data modeling tools and techniques in diverse technological environments Certifications related to data modeling, data management, or cloud platforms (preferred)Professional Competencies Strong analytical and critical thinking skills to develop optimal data solutions Effective communication skills for translating technical concepts to non-technical stakeholders Ability to work independently and in collaborative team environments Skilled problem solver able to handle complex data challenges Adaptability to rapidly evolving technologies and project requirements Excellent time management and prioritization skills to deliver quality outputs consistently