Data Governance Jobs in Ahmedabad

ServiceNow Developer ITSM | Full-Time | Ahmedabad, Gujarat Location: Ahmedabad, Gujarat Job Type: Full-Time Experience: 3 to 6 years (including 2+ years of hands-on ServiceNow development) Industry: Information Technology / IT Services Functional Area: ITSM, Application Development Work Schedule: Flexible working hours Job Summary We are hiring an experienced ServiceNow Developer in Ahmedabad to join our growing IT team. This technical role is responsible for the configuration, customization, and ongoing development of the ServiceNow platform, supporting IT Service Management (ITSM) and other business processes in alignment with ITIL best practices. The ideal candidate will bring deep technical knowledge and hands-on experience in building scalable ServiceNow solutions. Key Responsibilities Analyze, define, and document business and system requirements for workflows, integrations, user interfaces, and automation. Configure and customize the ServiceNow platform, including workflows, business rules, client scripts, ACLs, UI policies, and UI actions. Develop and maintain ServiceNow integrations with internal and third-party systems via REST, SOAP, and other methods. Design and implement automated workflows to streamline business processes and improve efficiency. Maintain and manipulate data within the ServiceNow CMDB, incident, change, and other modules. Work closely with cross-functional teams to understand user requirements and deliver scalable solutions. Participate in ServiceNow upgrades, patching, and platform maintenance tasks. Required Skills and Qualifications 3 6 years of overall IT experience, with 2 4 years specifically in ServiceNow development. Strong understanding of ITSM processes and practical experience in ServiceNow implementations. Experience working on enterprise-level applications with multi-functional modules. Proficiency in JavaScript, ServiceNow scripting, UI policies, and data policies. Experience integrating ServiceNow with other tools and platforms. Solid grasp of ITIL v3 concepts, particularly in operational support and analysis. Excellent problem-solving skills, attention to detail, and ability to work independently. Preferred / Nice to Have Experience with ServiceNow Service Portal development for creating customized user experiences. Knowledge of front-end technologies such as AngularJS, Bootstrap, CSS, and HTML. Experience building widgets and custom portal components in ServiceNow. ServiceNow certifications (e.g., CSA, CAD, CIS) are a strong plus. Prior experience in agile development environments. Opportunity to work on cutting-edge ServiceNow implementations. Collaborative work culture with flexible working hours. Exposure to enterprise ITSM, automation, and cloud platforms. Continuous learning and certification opportunities. Apply now to grow your career as a ServiceNow Developer in a dynamic, fast-paced IT environment in Ahmedabad!

Power Apps Tech Lead & Account Manager Full-Time | Ahmedabad, Gujarat (On-site) Location: Ahmedabad, Gujarat (Work from Office) Employment Type: Full-Time Industry: Information Technology / Power Platform Development Experience Level: Mid to Senior-Level Function: Technical Leadership, Application Development, Client Account Management Job Summary We are seeking a skilled and experienced Power Apps Tech Lead and Account Manager to join our team in Ahmedabad. This hybrid role combines deep technical expertise in Microsoft Power Platform particularly Power Apps, Power Automate, and Power BI with strong client relationship management and leadership capabilities. The ideal candidate will lead a team of Power Apps developers, architect robust business applications, and act as the key liaison between our technical teams and clients, ensuring project success and long-term client satisfaction. Key Responsibilities Technical Leadership & Power Platform Development Lead and mentor a team of Power Apps developers in delivering scalable and secure business applications. Architect and design solutions using Microsoft Power Platform, including Power Apps (canvas and model-driven), Power Automate, and custom connectors. Guide the team on best practices in development, code review, and implementation. Translate business requirements into functional and technical specifications. Ensure the integration of Power Apps with databases, Microsoft 365, SharePoint, and other enterprise systems. Maintain high standards of code quality, documentation, and testing. Actively participate in hands-on development and troubleshooting when required. Client & Account Management Serve as the primary point of contact for key client accounts. Understand their business objectives and align solutions accordingly. Build long-term relationships and ensure high client satisfaction through proactive communication and service. Identify up-selling or cross-selling opportunities to expand service offerings within existing accounts. Manage client contracts, proposals, renewals, and SLAs. Develop and present account plans, performance reports, and actionable insights to clients. Collaborate with sales and delivery teams to meet client expectations and ensure smooth execution. Qualifications & Skills Required Bachelor s degree in Computer Science, Information Technology, or a related field (Master s preferred). 4 8 years of overall experience, with proven expertise in Microsoft Power Platform, especially Power Apps and Power Automate. Strong understanding of canvas apps, model-driven apps, data connectors, and Microsoft Dataverse. Experience in technical leadership, team mentorship, and performance management. Familiarity with Agile methodologies, SDLC, and project planning. Excellent written and verbal communication skills. Strong problem-solving abilities and analytical thinking. Preferred Experience in Power BI, SharePoint integration, and Azure services. Prior roles in project management or account/client management. Sales-oriented mindset with a focus on customer success. Proficiency in CRM software, reporting tools, and Microsoft 365 ecosystem. IT consulting or managed services experience is a plus. Work on cutting-edge Power Platform solutions for diverse clients. Leadership role with both technical and strategic impact. Collaborative and innovative team culture. Opportunity for growth and certification support in Microsoft technologies. Be part of a growing IT services company based in Ahmedabad. Apply today to accelerate your career as a Power Apps Technical Lead and Account Manager and make an impact through technology and client success. Qualification : Bachelors degree in Computer Science, Information Technology, or a related field (Masters preferred).

Job Title: Data Engineer Location: Ahmedabad, Gujarat Job Type: Full-Time About the Role We re seeking a talented Data Engineer with hands-on experience in Azure-based data solutions. If you excel at building scalable data pipelines and have a strong command of Azure Data Factory, Databricks, PySpark, and Python, we want to hear from you. Experience with Azure Synapse Analytics, Microsoft Fabric, or Power BI will be a strong advantage. What You ll Do Design and implement scalable ETL/ELT pipelines using Azure Data Factory and Databricks. Process and transform large datasets using PySpark and Python. Build and maintain data lakes and data warehouses on the Azure Cloud. Collaborate with data architects, analysts, and business stakeholders to develop effective data solutions. Ensure high standards of data quality, consistency, and reliability. Optimize pipeline performance and manage cloud costs efficiently. Apply best practices for data security, governance, and monitoring. Document workflows and contribute to architectural decisions. 3 5 years of hands-on experience in Data Engineering. Proficiency with: Azure Data Factory (ADF) Azure Databricks Azure SQL Python and PySpark Azure Storage (Blob, Data Lake Gen2) Experience with data lakehouse or modern data warehouse architecture. Familiarity with Delta Lake, MLflow, and Unity Catalog is a plus. Strong SQL skills and experience with performance tuning. Understanding of CI/CD processes in Azure. Excellent analytical and problem-solving abilities. Bonus Skills (Preferred but not required) Experience with Azure Synapse Analytics. Knowledge of Microsoft Fabric. Power BI experience for dashboards and reporting. Exposure to DevOps and Infrastructure as Code (IaC). Understanding of data governance and security frameworks. Relevant certifications (e.g., Databricks Certified Data Engineer Associate/Professional).

Job Title: Data Engineering Intern / Junior Data Engineer Location: Ahmedabad, Gujarat Type: Internship About the Role We re looking for a passionate and motivated Data Engineering Intern to join our team. This is an excellent opportunity for individuals with a foundational understanding of data concepts who are eager to gain hands-on experience with real-world data engineering projects and modern cloud technologies. Key Responsibilities Assist in building and maintaining ETL/ELT data pipelines. Support data extraction, transformation, and loading processes. Help design and implement data warehouses and data lakes. Work closely with senior engineers and analysts to understand data requirements. Write basic SQL queries and Python scripts for data manipulation. Participate in data validation and quality checks. Document workflows, processes, and technical details. What You ll Need Basic understanding of SQL and Python. Familiarity with ETL concepts and data warehouse/lake architectures. Interest in cloud platforms such as Azure, AWS, or Google Cloud. Strong problem-solving skills and analytical thinking. Willingness to learn, adapt, and take initiative. Clear and effective communication skills. Bonus Skills (Nice to Have) Exposure to tools like Azure Data Factory, Databricks, or Power BI. Academic or personal projects related to data engineering. Familiarity with Git or other version control systems. Get hands-on experience with industry-standard data tools and technologies. Learn from a collaborative and experienced team. Build a solid foundation for a career in data engineering. Opportunity for full-time employment based on performance and growth.

Job Title: Data Science Intern AI/ML Location: Ahmedabad, Gujarat Type: Internship About the Role We re looking for a curious and motivated AI/ML Intern to join our Data Science team. This internship offers a fantastic opportunity to gain hands-on experience working on real-world machine learning and AI projects. You ll collaborate with experienced data scientists and engineers, apply algorithms to solve practical problems, and contribute to innovative research and development efforts. Key Responsibilities Assist in building, training, and evaluating machine learning models using Python. Support AI/ML research, experimentation, and proof-of-concept development. Perform data collection, cleaning, exploration, and visualization. Apply statistical methods and ML algorithms to solve analytical challenges. Document experiments, models, and processes clearly and thoroughly. Work closely with cross-functional teams including engineering and product. Proficiency in Python and libraries like scikit-learn, pandas, NumPy. Basic understanding of machine learning concepts, statistics, and data modeling. Experience with academic, personal, or internship-based AI/ML projects. Familiarity with tools such as TensorFlow, scikit-learn, or Azure ML. Eagerness to learn and apply new techniques. Strong analytical thinking and communication skills. Bonus Skills (Preferred but not required) Experience with Jupyter Notebooks, Google Colab, or cloud-based ML tools. Knowledge of deep learning frameworks (TensorFlow, Keras, PyTorch). Exposure to Azure Machine Learning, MLflow, or MLOps. Understanding of data pipelines and basic SQL. Work on cutting-edge AI/ML projects with real-world impact. Learn directly from seasoned data science professionals. Be part of a collaborative and growth-oriented environment. Potential pathway to full-time employment based on performance.

Deputy General Manager - ESG Location: Ahmedabad, Gujarat, India Responsibilities ESG Compliance and Strategy Development Develop long-term ESG strategies that align with corporate objectives, ensuring effective communication and implementation across the organization to foster a culture of environmental and social responsibility. Ensure all operations exceed regulatory requirements by developing comprehensive compliance strategies and leading the implementation of these strategies across all departments. Set high-level goals, monitor progress, and address any compliance gaps identified during regular audits. Environmental Stewardship Initiatives Lead the development and implementation of advanced environmental stewardship initiatives within the Hydro PSP plant, focusing on reducing environmental impact and promoting sustainability through innovative practices and technologies. Evaluate the effectiveness of environmental initiatives, making data-driven adjustments to improve outcomes, ensuring all activities are documented and reported to both internal and external stakeholders. Developing Reporting Frameworks Develop and oversee ESG reporting frameworks, ensuring they are robust, transparent, and aligned with industry standards and regulatory requirements. Create standardized reporting procedures for accurate and timely collection of ESG data across all departments. Ensure all ESG reports are comprehensive, providing insights into the plant s environmental, social, and governance performance, and use these reports to guide strategic decision-making and continuous improvement. Social Responsibility Programs Oversee the planning and execution of social responsibility programs aimed at improving the welfare of local communities and enhancing the plant s social impact. Identify key areas where the plant can make a positive difference, such as education, health, and infrastructure, and develop programs to address these needs. Ensure that social responsibility initiatives align with the overall ESG strategy and monitor impact through regular assessments and stakeholder feedback. Governance Structures and Processes Lead efforts to enhance governance structures and processes, ensuring they are robust, transparent, and aligned with best practices in corporate governance. Ensure all governance processes are well-documented, consistently applied, and communicated effectively to all relevant stakeholders. Contribute to the plant s overall operational integrity and ethical standards. Stakeholder Engagement Lead stakeholder relations efforts by developing and executing comprehensive engagement strategies for open, transparent, and proactive communication with all external stakeholders. Oversee the management of relationships with regulatory bodies, local communities, environmental organizations, and other key stakeholders. Ensure all stakeholder communications align with ESG objectives and that feedback is used to inform ongoing ESG initiatives and decision-making. Key Stakeholders Internal: Direct Supervisors & other Department Leaders Project Manager Engineering Head Finance Department HR Department Procurement Department Safety Officer IT Department Legal Department External: Government Regulatory Bodies Grid Authority Hydro Equipment Suppliers Land Owners Local Communities Environmental Consultants Financial Institutions Research Institutions Qualifications Educational Qualifications: Master's degree in Environmental Science, Environmental Engineering, or a related field. Certifications from the Indian Green Building Council (IGBC) or the National Environmental Engineering Research Institute (NEERI) in environmental management or sustainability. Work Experience: 12+ years of experience in environmental management or sustainability roles, preferably in the renewable energy or infrastructure sector. Proven track record in developing and implementing ESG strategies, conducting environmental impact assessments, and ensuring regulatory compliance. Strong understanding of environmental regulations, social responsibility standards, and governance frameworks. Qualification : Master's degree in Environmental Science, Environmental Engineering, or a related field.

Data Scientist Roles and Responsibilities: Data Mining & Extraction: Extract valuable, usable data from various data sources to support business objectives and analytic systems development. Machine Learning & Model Optimization: Utilize machine learning techniques to select relevant features, build, and optimize classifiers for data analysis. Data Preprocessing & Cleansing: Perform preprocessing tasks on both structured and unstructured data to prepare it for in-depth analysis, ensuring its quality and accuracy. Enhancing Data Collection: Improve data collection procedures to capture all necessary information, enabling the development of robust analytic systems. Data Validation & Integrity: Cleanse and validate data to ensure its integrity, making it suitable for analysis and predictive modeling. Pattern Analysis & Solution Development: Analyze large datasets to identify patterns and develop insights, helping to solve complex business problems. Prediction & Algorithm Development: Design and develop predictive systems and machine learning algorithms to deliver actionable insights and support decision-making. Result Presentation: Communicate findings and insights clearly to both technical and non-technical stakeholders, ensuring understanding and adoption. Solution Proposal & Strategy Development: Propose innovative solutions and strategies to tackle business challenges, driving data-driven decisions. Collaboration with Teams: Work closely with Business and IT teams to align data science initiatives with organizational goals and ensure seamless integration with existing systems. Requirements: Educational Background: Bachelor s or Master s degree in Computer Science, Engineering, or a related field. Experience & Leadership: Proven experience leading data architecture projects and teams, with a strong track record of delivering data-driven solutions. Communication & Collaboration Skills: Excellent communication, collaboration, and interpersonal skills, with the ability to effectively convey technical concepts to various audiences. Adaptability: Ability to thrive in a fast-paced, dynamic environment, managing multiple priorities and deadlines effectively. Qualification : Bachelors or Masters degree in Computer Science, Engineering, or a related field.

Data Miner / Business Development Executive Job Description: Lead Generation: Conduct lead generation through various platforms such as Apollo, online directories (Yellowpages, Pinkpages, AIA), Google search, and more to identify potential clients. Email Marketing: Execute email marketing campaigns, targeting potential leads and nurturing existing ones. Lead Follow-Ups: Actively follow up on generated leads to convert them into potential business opportunities. LinkedIn Outreach: Utilize LinkedIn to engage with prospects, build relationships, and generate business leads. Database Management: Manage and maintain an up-to-date database using HubSpot CRM software, ensuring accurate records and efficient workflow. Data Scraping: Use various data scraping tools such as Webscrapper, Data Miner, and Instant Data Scraper to gather valuable information and insights for lead generation. Requirements: Qualifications: Any graduate/postgraduate (MBA preferred). Shift Timings: Day Shift: 10:00 AM to 07:00 PM (During training period). Post-training shift timings will be determined by the Project Manager. Working Days: 5 working days per week. Qualification : Any graduate/postgraduate (MBA preferred).

Job Title: Dynamics CRM Solution Architect (Techno-Functional) Location: Ahmedabad Qualification: Bachelor s degree in Information Technology, Computer Science, or a related field Experience: 10+ Years About Bytes Technolab: Founded in 2011, Bytes Technolab is a full-spectrum web and mobile application development company with a global footprint in the USA, Australia, and India. We are known for our excellence in crafting innovative digital solutions in web development, eCommerce, and enterprise applications. Our goal is to empower businesses with technology that scales and evolves with their needs. Position Overview: We are looking for an experienced Dynamics CRM Solution Architect (Techno-Functional) who can design, lead, and deliver enterprise-grade Microsoft Dynamics 365 CE/CRM solutions. This role blends technical expertise with business acumen to drive digital transformation and CRM optimization for global clients. Key Responsibilities: Translate complex business requirements into scalable and robust Dynamics CRM solutions. Define and document technical architecture, workflows, and integration strategies. Develop and customize Dynamics 365 CE components: plug-ins, custom workflows, Power Platform solutions. Lead and mentor technical teams, ensuring timely delivery and code quality. Implement best practices for CRM development, deployment, and governance. Conduct requirement gap analysis and draft detailed functional/technical documentation. Customize CRM entities, forms, views, dashboards, and build reports using SSRS. Build and deploy PowerApps (Canvas and Model-Driven), Power Automate workflows, and Power Portals. Integrate Dynamics CRM with platforms like Salesforce, Azure, and other third-party systems. Oversee and execute migrations from legacy CRM systems (CRM 4.0/2011/2016) to Dynamics 365 (online/on-premises). Manage data migration and system upgrades with minimal business impact. Provide post-deployment training, documentation, and support. Stay ahead of new features and capabilities in Dynamics 365 and Power Platform. Troubleshoot technical issues and implement long-term resolutions. Required Skills & Qualifications: 10+ years of hands-on experience in Microsoft Dynamics CRM, including versions 2011, 2013, 2015, 2016, and Dynamics 365 (online & on-premise). Advanced knowledge of Power Platform: Power Apps, Power Automate, Power BI, Power Portals. Strong coding background in C#, JavaScript, HTML/CSS, and SQL Server Reporting Services (SSRS). Experience integrating with Azure Logic Apps, Salesforce, and RESTful APIs. Expertise in CRM plug-ins, custom workflows, business rules, and logic implementation. Solid understanding of project lifecycle, estimation, technical documentation, and Agile methodologies. Excellent communication and stakeholder engagement skills. Preferred Certifications: PL-400 Microsoft Power Platform Developer MB2-703 CRM Customization and Configuration Work on cutting-edge enterprise CRM and Power Platform projects. Lead high-impact digital transformation initiatives. Collaborate with skilled cross-functional teams in a fast-growing company. Opportunity to mentor, innovate, and influence technology strategy. Competitive compensation and a supportive work culture.

Experience: 2 to 5 Years Job Location: Ahmedabad Role & Responsibilities: Excellent in analytical thinking for translating data into informative visuals and reports. Ability to create Power BI reports, dashboards, and visualizations as per business requirements. Proficient in creating DAX queries in Power BI desktop. Expertise in using advanced level calculations on data sets. Able to develop tabular and multidimensional models that are compatible with warehouse standards. Able to properly understand the business requirements and develop data models or work with the Data warehouse team on data modeling. Should have knowledge and experience in prototyping, designing, and requirement analysis. Ability to incorporate new features and techniques as released by Microsoft. Able to integrate Power BI reports into other applications using embedded analytics like Power BI service (SaaS), or by API automation. Also, one must be experienced in developing custom visuals for Power BI. Good knowledge and experience in understanding logical and physical data models. Good communication skills in English and attitude to learning new skills, technologies and taking on challenging tasks. Primary Skills: Power BI Dashboard SQL Server - Database Data Integration Data Profiling and Cleansing Database Query Tuning & Performance Optimization

Job Title: Data Engineer Position Overview: We are seeking a Data Engineer to join our team and work on developing and maintaining our Python-based applications. The Data Engineer will be responsible for designing, developing, testing, and maintaining code for new features while fixing bugs in the existing codebase. The role requires experience with ETL/ELT tools, SQL, Python, and PowerBI to deliver high-quality data integration and reporting solutions. Key Responsibilities Collaborate with the source application team and Data Champions to build and maintain the ETL/ELT pipelines for various source systems across the organization. Utilize applicable tools (e.g., SSIS, APIs) to qualify, extract, standardize/normalize, optimize, and import data from source to target data marts. Demonstrated experience working with Microsoft SQL Server Integration Services (SSIS) to create and deploy ETL packages. Write and optimize complex SQL queries, stored procedures, views, and functions for data extraction and transformation. Work on data analysis projects and continuous improvement programs to support internal projects. Use data visualization and reporting tools like Power BI/SSRS to create and publish reports. Write high-quality, clean, and maintainable code. Collaborate with cross-functional teams to define, design, and ship new features. Identify and fix bugs in existing code and optimize the performance of our applications. Ensure proper documentation for all tasks and deliverables. Requirements 3 to 5 years of experience in ETL/ELT tools, SQL, SSIS, Python, and PowerBI. Solid Python development skills, particularly for data manipulation or back-end API/framework development. Experience with SSIS and Business Objects Data Services, including data governance, master data management, data cleansing, Slowly Changing Dimensions, and Change Data Capture. Experience developing ETL pipelines using Python and SSIS to support data warehouse and data pipeline automation. Proven ability to write complex SQL queries and optimize them for performance. Experience managing production support for ETL projects and handling deployment activities. Tools and Activities Experience Data Integration and Management Tools: SQL Server Integration Services (SSIS), APIs, Python, SQL Server. Databases: SQL Server, MySQL, DB2. Data Visualization Tools: Microsoft Power BI, SSRS. Cloud: Azure (preferred). Skill Sets: Python, SQL Server, PowerBI, Azure (plus). Desired Skills Strong analytical skills with the ability to write and optimize SQL queries effectively. Excellent problem-solving and troubleshooting skills, particularly in a production support environment. Ability to work independently and manage multiple projects simultaneously. Strong written and verbal communication skills for reporting and collaborating across teams.

Roles and Responsibilities Design and implement cloud-native architectures using Docker and Kubernetes to enhance application scalability, manageability, and reliability. Develop and manage comprehensive infrastructure architectures that support both current and evolving business needs. Lead the integration of AI/ML technologies within the cloud infrastructure to foster innovative, efficient business solutions. Implement serverless architectures to simplify operations and improve cost efficiencies. Direct the deployment of service meshes to manage service-to-service communications within containerized infrastructures, enhancing security, observability, and reliability. Establish and maintain immutable infrastructure to ensure consistent and reliable environments across development, testing, and production. Govern the team of cloud architects and engineers, promoting a culture of high performance and continuous skill enhancement. Engage with company stakeholders to ensure that cloud strategies align with overall business objectives and drive key business metrics. Keep abreast of emerging trends in cloud technology, including service meshes, immutable infrastructure, and container orchestration, and assess their impact on business strategies. Lead cloud governance, compliance, and risk management initiatives to safeguard data and comply with regulatory standards. Manage financial aspects of cloud projects, including budgeting, cost projections, and optimization efforts. Requirements Bachelor's or Master's degree in Computer Science, Engineering, or related field. Proven track record of success in leading cloud architecture projects and teams. Excellent communication, collaboration, and interpersonal skills. Ability to thrive in a fast-paced, dynamic environment and manage multiple priorities effectively. Qualification : Bachelor's or Master's degree in Computer Science, Engineering, or related field.

Roles and Responsibilities Data mining or extracting usable data from valuable data sources Using machine learning tools to select features, create and optimize classifiers Carrying out preprocessing of structured and unstructured data Enhancing data collection procedures to include all relevant information for developing analytic systems Processing, cleansing, and validating the integrity of data to be used for analysis Analyzing large amounts of information to find patterns and solutions Developing prediction systems and machine learning algorithms Presenting results in a clear manner Propose solutions and strategies to tackle business challenges Collaborate with Business and IT teams Requirements Bachelor's or Master's degree in Computer Science, Engineering, or related field. Proven track record of success in leading Data architecture projects and teams. Excellent communication, collaboration, and interpersonal skills. Ability to thrive in a fast-paced, dynamic environment and manage multiple priorities effectively. Qualification : Bachelor's or Master's degree in Computer Science, Engineering, or related field.

Position: Data Science Architect Job Summary: We are seeking an experienced Data Science Architect to lead our data-driven initiatives, design scalable architectures, and drive AI/ML strategies. The ideal candidate will have deep expertise in data science, machine learning, cloud technologies, and big data frameworks. Key Responsibilities: Design and implement scalable data science architectures to support advanced analytics, AI, and ML models. Lead the end-to-end data pipeline development, including data ingestion, transformation, feature engineering, and model deployment. Collaborate with engineering, product, and business teams to define data strategies and align them with business goals. Provide thought leadership on best practices, emerging technologies, and AI/ML trends. Optimize and scale AI/ML models for real-time and batch processing use cases. Ensure compliance with data governance, security, and regulatory standards. Develop and mentor a team of data scientists and engineers to enhance overall capability and efficiency. Required Skills and Qualifications: Strong programming skills in Python. Experience with ML frameworks (TensorFlow, PyTorch, Scikit-learn, etc.). Knowledge of MLOps, CI/CD, and Model Deployment. Experience with Databases (SQL, NoSQL) and Data Warehouses (Redshift, BigQuery, Snowflake, etc.). Excellent problem-solving and analytical skills. Strong communication and stakeholder management abilities. Ability to lead and mentor teams. If you are a skilled Data Science Architect passionate about driving AI/ML initiatives and building scalable data solutions, we invite you to apply and join our innovative team! Qualification : BE/B.Tech/M.Tech

Job Description: We are seeking a Snowflake Lead to design and manage scalable data pipelines and solutions on Snowflake. The ideal candidate will have a strong understanding of Snowflake architecture and data warehousing concepts, along with hands-on experience in ETL processes, SQL optimization, and performance monitoring. Experience with Fivetran is a plus. Key Responsibilities: Design, build, and maintain scalable data pipelines using Snowflake. Implement and manage Snowpipe, Time Travel, and Fail Safe features. Develop and optimize SQL queries for data extraction and transformation. Build and maintain ETL processes to integrate data from multiple sources into Snowflake. Monitor and troubleshoot data warehouse performance issues. Ensure data security and governance practices are in place. Collaborate with cross-functional teams to support business intelligence and reporting requirements. Apply a deep understanding of Snowflake architecture to deliver robust solutions. Experience with Fivetran is an added advantage. Qualifications: Bachelor s degree in Computer Science, Information Technology, or a related field. Proven experience with Snowflake and data warehousing concepts. Proficiency in SQL and ETL tools (e.g., Talend, Informatica, etc.). Strong problem-solving and analytical skills. Excellent collaboration and communication skills. Qualification : Bachelors degree in Computer Science, Information Technology, or a related field.

Job Title: Data Scientist Experience: 4+ Years Educational Qualification: B.Tech/M.Tech (CS/IT), M.Sc. (CS/IT) from a recognized university Role Description We are seeking a skilled Data Scientist to join our team. The ideal candidate will identify valuable data sources, automate data collection processes, and analyze large datasets to uncover trends and patterns. This role involves building predictive models and machine-learning algorithms, collaborating with cross-functional teams, and proposing data-driven solutions to business challenges. Key Responsibilities Identify, collect, and automate data acquisition from valuable sources. Pre-process structured and unstructured data for analysis. Analyze large datasets to discover patterns and trends. Develop and implement predictive models and machine-learning algorithms. Combine multiple models using ensemble modeling techniques. Visualize data and present findings through dashboards and reports. Propose innovative solutions and strategies to address business challenges. Collaborate with engineering and product development teams for seamless integration of data solutions. Required Skills & Experience 4+ years of experience as a Data Scientist or Data Analyst with hands-on data mining experience. Proficiency in business intelligence tools (e.g., Power BI) and data frameworks (e.g., Hadoop). Experience querying databases and using statistical programming languages: Python, SQL, etc.; familiarity with Scala, Java, or C++ is a plus. Strong understanding of statistical and data mining techniques such as GLM/Regression, Random Forest, Boosting, Tree-based models, and text mining. Expertise in advanced machine learning algorithms: regression, clustering, simulation, scenario analysis, decision trees, neural networks, etc. Solid foundation in machine learning, operations research, and advanced statistical methods. Strong analytical mindset with business acumen and problem-solving capabilities. Excellent project management and organizational skills. Nice-to-Have Skills Strong math skills (e.g., statistics, algebra). Experience working in dynamic, cross-functional environments with diverse teams. Ability to work with data and analytics experts to enhance the functionality of data systems. Qualification : B.Tech/M.Tech (CS/IT), M.Sc. (CS/IT) from a recognized university

We are seeking a skilled AWS Redshift Developer to join our team and help us optimize our data warehousing and analytics capabilities. Roles & Responsibilities: Design, develop, and maintain data models and ETL processes in Amazon Redshift. Write complex SQL queries and optimize performance for data retrieval and reporting. Collaborate with data engineers, analysts, and other stakeholders to understand data requirements and deliver solutions. Implement best practices for data governance, security, and performance tuning in Redshift. Monitor system performance and troubleshoot any issues that arise. Create and maintain documentation for data models, ETL processes, and system architecture. Stay updated with the latest AWS services and features to enhance data management and analytics capabilities. Requirement: 3+ years of experience in data warehousing and analytics, with a strong focus on AWS Redshift. Proficient in SQL and experience with ETL tools (e.g., AWS Glue, Apache Airflow). Familiarity with data modelling concepts and methodologies. Experience with AWS services such as S3, Lambda, and EC2. Strong analytical skills and attention to detail. Excellent communication and collaboration skills. AWS certifications (e.g., AWS Certified Data Analytics - Specialty). Knowledge of other AWS data services (e.g., RDS, DynamoDB). Experience with BI tools (e.g., Tableau, Power BI) for data visualization. Qualification : 3+ years of experience in data warehousing and analytics, with a strong focus on AWS Redshift.

Job purpose: Deliver a solution with innovation and great piece of engineering. Ensure quality execution in the delivery of a product/solution to drive satisfaction, loyalty, and the implacable Consumer Experience. What you are? Develop software solutions by reviewing requirements analysis and information needs with Business Information System managers and Business Analysts Design solutions using software development fundamentals and processes, debug, test, and deploy software solutions Architect, design, develop, implement and provide maintenance within SharePoint and Office 365 applications Migrate content into SharePoint Online sites with migration tools or manual procedures Perform testing of SharePoint Online sites or components as developed by the development team Technical Document Writing, user guides, and training material development for various aspects of the SharePoint administration Participate in integration and migration (write scripts) of content from various platforms into SharePoint Responsible for customizing and developing SharePoint components, including but not limited to, Web Parts, Discussion Boards, User Interface Design, Forms, and Lists Design custom applications to automate or simplify tasks What do you need to succeed? In this role, you will be required to design, code, test, and analyze software programs and applications in a SharePoint environment. This includes researching, designing, documenting, and modifying software specifications throughout the production life-cycle Design and develop SharePoint and Office 365 solution implementation projects Develop and test solution components and leverage CI/CD best practices Provide technical expertise and advise team members on industry best practices Maintain current on emerging Microsoft and cloud technologies to better advise clients and peers on upcoming features and how to best prepare for them Help troubleshoot technical issues and resolve issues using a methodical diagnosis Design high-level solution designs and accompanying estimates for proposals Occasionally prepare and present online webinars on relevant topics Required skills: Bachelor s degree with 10+ years of experience in development Expert in .NET platform (C#, Asp.Net). JavaScript, web services, custom workflows Microsoft SharePoint certification such as MOSS and WSS(Optional) On-Premises SharePoint (2016 or 2019) and SharePoint Online experience is a must Experience migrating from SharePoint On-Premises to SharePoint Online using commercially-available migration tools and SPMT On-Premises SharePoint Workflow and Power Automate experience Developing SharePoint Web Parts using SPFx Excellent knowledge of TypeScript, npm, gulp, JSON, RESTful services Mastery of JavaScript Experience working with source control solutions (Git, TFS, etc..) Experience with Azure technologies Experience with Power Apps SharePoint deployment and configuration Experience in SQL Server & relational database design Experience migrating data from other content management systems to SharePoint Attention to detail and the ability to function in a dynamic and demanding work environment with commitment to high quality/error free deliverables Strong work-ethic, self-motivated, focused, creative, enthusiastic Works well in a team and independently Ability to analyze business requirements and propose solutions Ability to work with users while managing expectations and requirements. Excellent communication skills Able to troubleshoot and research challenging technical issues Experience in an agile environment Demonstrate the ability to solve problems and learn new technologies quickly Qualification : Bachelors degree with 10+ years of experience in development

About the Team: The Transactions Division at S&P Global Market Intelligence focuses on publishing data related to Mergers & Acquisitions (M&A) and Capital Markets. The team is responsible for collecting, validating, and analyzing corporate transaction data using various sources, such as search tools, press releases, company websites, stock exchange platforms, and regulatory filings. This data is curated and provided to clients in the form of a comprehensive, accurate, and timely product. The Impact: This role plays a crucial part in shaping the Transactions Dataset. As an analyst, you will be involved in collecting and validating data while working closely with peers and stakeholders on process improvements. This position offers an excellent opportunity to gain hands-on experience in the M&A, Private Offerings (PO), and Public Placements (PP) domains. You will deepen your understanding of financial reporting standards, corporate actions, and apply this knowledge in a practical setting. What s in it for You: You will be primarily responsible for the daily collection and validation of transactional data. As you develop a strong understanding of the dataset and become proficient in workflows, you will also have the opportunity to mentor new talent, helping them build their skill set. Additionally, you will be involved in process improvement initiatives, including LEAN and automation projects, that support various S&P Global Market Intelligence products. Key Responsibilities: Data Collection & Validation: Accurately extract, analyze, and input data into work tools according to specified guidelines. Ensure the integrity and quality of the collected data. Data Sources & Research: Utilize search tools, press releases, company websites, regulatory filings, and trade documents to extract and verify transaction data. Dataset Understanding: Develop a deep understanding of the dataset and workflows, becoming proficient in using the work tools and ensuring timely data delivery. Target Achievement: Meet individual and team targets while maintaining a focus on delivering high-quality, error-free results. Process Improvement & Innovation: Provide input for new data collection methods and suggest product enhancements related to the dataset. Project Management: Participate in projects as assigned, ensuring they are completed within the specified timelines while maintaining the required quality standards. Problem Resolution: Troubleshoot issues and provide support to the team to resolve any operational challenges. Basic Qualifications: Educational Background: MBA/BBA (preferably in finance), M.Com, or ACCA. Experience: Previous experience in financial research, data analytics, or quality assurance is preferred. Skills: Strong research and analytical skills. Proficiency in clear and effective communication. Basic knowledge of SQL and VBA is preferred. Ability to manage multiple tasks and priorities simultaneously. Strong teamwork and collaboration skills, with the ability to communicate effectively with global stakeholders. Willingness to work in rotational shifts (Morning, Evening, and Night). About S&P Global Market Intelligence: At S&P Global Market Intelligence, a division of S&P Global, we provide accurate, deep, and insightful information that empowers our clients to make confident decisions. Our team of experts delivers cutting-edge data and technology solutions, helping organizations expand their perspective, operate with confidence, and make informed decisions. Qualification : MBA/BBA (preferably in finance), M.Com, or ACCA.

About the Role: The Data Quality Measurement Team plays a key role in ensuring the accuracy, timeliness, and reliability of data used by various business units. As part of this team, the Data Content Manager will be responsible for overseeing and managing data quality activities, ensuring that data sets meet the highest standards set by the business or regulatory guidelines. The team is composed of highly skilled professionals who work together to mitigate regulatory and legal risks while delivering exceptional client experiences. The Impact: The role of the Data Content Manager has a wide-reaching impact, influencing decision-making, operational efficiency, customer satisfaction, compliance, and overall team performance. By maintaining high-quality data standards, the organization can derive greater value from its data and gain a competitive advantage. What You Stand to Gain: Professional Growth & Development: Opportunities for career advancement and skill diversification. Direct Impact on Decision-Making: Engage with market leaders, gain cultural exposure, and strengthen stakeholder management skills. Cutting-Edge Technologies & Practices: Exposure to the latest technology adoption and a culture of innovation. Key Responsibilities: Stakeholder Engagement: Work closely with stakeholders to define data quality requirements and usage needs for specific regions or business areas. Ownership of Data Quality: Lead the ongoing delivery of data quality measurement activities, with a focused concentration on a specific region or business area. Issue Identification & Remediation: Identify data quality issues, perform analysis, and escalate for resolution to ensure data accuracy and high quality. Testing & Data Audits: Perform testing on defined use cases for new technologies, deliver results, and identify sources of errors. Also, conduct data audits on new data vendors. Root Cause Analysis: Conduct root cause analysis on smaller data analysis tasks related to assigned or unfamiliar projects. Regulatory Compliance: Implement data quality processes to ensure S&P Ratings compliance with regulatory requirements. Data Querying & Correction: Perform data queries to identify and drive corrections of data inconsistencies. What We re Looking For: Experience: Typically 7-9 years of experience in a data role, with experience in a data quality role being advantageous. Technical Skills: Proficiency in technical tools such as Excel, SQL, Python, data extraction tools, and data visualization tools. Industry Knowledge: Good understanding of financial and market data, data cataloging, and AI technologies and their potential applications in data management. Data Requirements & Querying: Solid understanding of data requirements and intermediate-level data querying skills. Leadership: Ability to manage a team of 8-10 professionals effectively. Collaboration & Problem-Solving: Ability to communicate assumptions clearly, solicit feedback, and find ways to improve. Proactively manage issues and drive solutions. Project Understanding: Understand how individual tasks fit into the larger project and identify issues with requirements early. About S&P Global Ratings: At S&P Global Ratings, we provide independent, analyst-driven credit ratings, research, and sustainable finance opinions that help market participants make confident, data-driven decisions. By providing transparency and high-quality insights into creditworthiness, we enable growth across a wide range of organizations, including businesses, governments, and institutions. As a division of S&P Global, we are the world's leading provider of credit ratings, benchmarks, analytics, and workflow solutions in the global capital, commodity, and automotive markets. Our offerings help organizations navigate the economic landscape and plan for the future with confidence.