Data Protection Jobs in Ahmedabad

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.

Windows Desktop Developer Key Responsibilities: Develop & Optimize Application: Build a robust, user-friendly desktop application tailored for Windows OS kiosks. Integrate core features such as slot booking, menu ordering, selfie capture, and advertising. Optimize the application to handle multitasking efficiently and ensure high performance. UI/UX Design & Security: Implement a secure, interactive UI/UX design specifically for kiosk environments. Ensure the application is stable, secure, and capable of running continuously, 24/7. Collaboration & Backend Integration: Collaborate closely with backend developers to ensure smooth communication with APIs and database systems. Troubleshoot, debug, and iterate on the application based on user feedback and evolving requirements. Application Maintenance: Regularly upgrade and maintain the kiosk application to ensure it meets new functionalities and security standards. Requirements: Technical Expertise: Strong experience with C# and the .NET Framework/WPF for Windows application development. Proven ability to develop interactive kiosk applications and ensure their performance and usability. Familiarity with Windows services, threading, and file system management. Hardware Integration: Experience working with hardware such as touchscreens, printers, and cameras for kiosk functionality. Knowledge of multimedia playback, ad display systems, and live feed integration. Security & Version Control: Solid understanding of security protocols for kiosk environments to ensure data privacy and protection. Proficiency in version control systems like Git to manage codebase and track development progress. Preferred Skills: Experience with IoT or hardware communication protocols. Knowledge of Windows Presentation Foundation (WPF) and MVVM architecture for building scalable and maintainable applications. Familiarity with video and image processing libraries. Prior experience in deploying and maintaining kiosk applications in production environments.

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).

Node.js Developer Location: Ahmedabad Primary Responsibilities: PHP Backend Development: Good understanding of PHP back-end development to support full-stack development requirements. JavaScript and Frameworks: Strong expertise in AngularJS, JavaScript, Core Java, and Node.js development. Node.js Frameworks: Deep understanding of Node.js and related frameworks available for efficient development. Web Services Integration: Experience with AJAX, REST, and JSON for API integrations and data exchange. Database & Server Side: Hands-on experience with MongoDB, JavaScript, Node.js, HTML, React.js, Express.js, and Mongoose. Database Design & Management: High-level understanding of MySQL or MongoDB; ability to create schema-based and schema-less database designs. Security Compliance: Understanding of accessibility and security compliance to ensure data protection and security. Authentication & Authorization: Implement user authentication and authorization protocols across multiple systems, servers, and environments. Automated Testing: Experience in implementing automated testing platforms and writing unit tests to ensure quality code. Version Control Systems: Proficient in using code versioning tools such as Git and SVN to manage code and track changes. Code Optimization: Writing reusable, testable, and efficient code that meets industry standards. OOP & Data Structures: Solid understanding of Object-Oriented Programming (OOP) concepts, data structures, and algorithms for optimized code development. Programming Languages: Hands-on experience with programming languages and frameworks; a strong knowledge of Node.js and its ecosystem. Frontend Development: Experience with HTML, CSS, and AJAX for creating seamless front-end interactions. Qualifications: Proficiency in Node.js, AngularJS, and JavaScript. Familiarity with databases like MongoDB and MySQL. Good understanding of modern web technologies like HTML, CSS, and AJAX. Strong problem-solving skills with hands-on experience in implementing OOP concepts and data structures. Ability to work independently and as part of a team in a fast-paced environment. This role is designed for developers who are passionate about back-end development with Node.js and are eager to work in a dynamic and challenging environment. If you are well-versed with the mentioned technologies and frameworks, we encourage you to apply.

Job Title: Senior Software Engineer .NET Location: Ahmedabad Job Type: Permanent Education: Any IT Graduates Experience: 3-6 years Openings: 2 Roles & Responsibilities: We are looking for a highly skilled and motivated .NET Full Stack Developer to join our dynamic development team. As a Senior Software Engineer .NET, you will be responsible for building and maintaining robust, scalable, and high-performance web applications using .NET Core/ASP.NET MVC and Angular. You will work on both front-end and back-end components, ensuring seamless integration and a seamless user experience. Your responsibilities will include: Application Development & Maintenance: Design, develop, and maintain web applications using .NET Core, ASP.NET MVC, and Angular. Develop and implement server-side logic and APIs using .NET technologies. Build responsive and user-friendly interfaces using Angular, ensuring seamless cross-browser compatibility. Collaboration & Feature Implementation: Collaborate with cross-functional teams to define, design, and deliver new features for web applications. Translate user requirements into effective, scalable solutions while maintaining the highest quality standards. Code Quality & Optimization: Write clean, scalable, and efficient code that adheres to best practices and coding standards. Participate in code reviews to maintain code quality, consistency, and best practices across the team. Troubleshooting & Debugging: Troubleshoot, debug, and optimize applications to ensure the best possible performance and responsiveness. Ensure that applications are efficient, secure, and fully functional under various usage scenarios. Performance & Security: Optimize applications for speed, scalability, and user experience. Implement security and data protection measures to safeguard sensitive information and ensure compliance with relevant regulations. Continuous Improvement: Stay up to date with industry trends, technologies, and best practices to ensure the applications are modern, efficient, and secure. Contribute to the continuous improvement of the development process, including tools, frameworks, and methodologies. Skills Required: Technical Expertise: Proficiency in .NET Core, ASP.NET MVC, and Angular for both front-end and back-end development. Experience with Web API, RESTful services, and server-side logic development. Hands-on experience with HTML, CSS, JavaScript, and other front-end technologies. Familiarity with database management (SQL Server, MySQL, etc.) and ORMs like Entity Framework. Code Quality & Practices: Knowledge of version control systems, preferably Git. Experience with unit testing and test-driven development (TDD). Ability to write clean, maintainable code that follows industry best practices. Problem-Solving & Debugging: Strong analytical and problem-solving skills with the ability to troubleshoot complex application issues. Experience in performance tuning, optimization, and debugging. Soft Skills: Strong communication skills, with the ability to collaborate effectively with team members, business stakeholders, and clients. Ability to work independently and as part of a collaborative team in a fast-paced, agile environment. Additional Skills: Familiarity with DevOps practices, CI/CD pipelines, and cloud services (Azure, AWS, etc.) is a plus. Experience in implementing security measures and data protection strategies. Qualification : Any Graduate / Post Graduate

Role & Responsibilities: Design, develop, and maintain dynamic user interfaces using React.js, ensuring high performance and responsiveness. Leverage TypeScript for type safety and scalability. Write clean, maintainable, and efficient code in both JavaScript and TypeScript. Collaborate with cross-functional teams to analyze requirements, design solutions, and integrate various systems and technologies. Implement security and data protection best practices across the application stack. Use Git for version control, managing branches, and collaborating with other team members. Utilize Jira for project management, task tracking, and agile development methodologies. Stay updated with emerging trends in web development, programming languages, and frameworks. Requirements: Bachelor s degree in Computer Science, Information Technology, or a related field. 2-3 years of proven experience in front-end development, with a strong focus on React, JavaScript, and TypeScript. Solid understanding of web technologies, including HTML5, CSS3, and modern JavaScript frameworks. Proficiency in using Git for version control and familiarity with continuous integration and deployment (CI/CD) workflows. Strong problem-solving skills and the ability to work in a fast-paced environment. Excellent communication and teamwork skills. Qualification : Bachelors degree in Computer Science, Information Technology, or a related field.

We are seeking a talented and creative Web Developer to join our growing team. As a Web Developer, you will play a crucial role in designing, developing, and maintaining our web applications, ensuring they are user-friendly, visually appealing, and responsive across various devices. Key Responsibilities: Collaborate with cross-functional teams to gather and understand project requirements. Design and develop user-friendly, responsive, and visually appealing web applications. Write clean, efficient, and maintainable code using industry best practices. Optimize web applications for maximum speed and scalability. Troubleshoot and debug issues that arise during development or in existing applications. Stay up-to-date with emerging web development trends and technologies. Implement and maintain security and data protection measures. Contribute to the continuous improvement of development processes and workflows. Participate in code reviews to ensure code quality and adherence to coding standards. Communicate effectively with team members, stakeholders, and project managers. Requirements: Bachelor/Master's degree in Computer Science, Web Development, or related field (or equivalent experience). Proven experience as a Web Developer or similar role. Proficiency in front-end web technologies such as HTML5, CSS3, JavaScript (ES6+), and related frameworks/libraries (e.g., React, Angular, Vue.js). Strong understanding of responsive design principles and mobile-first development. Experience with back-end technologies and languages (e.g., Node.js, Python, Ruby) is a plus. Familiarity with version control systems (e.g., Git) and collaborative development workflows. Knowledge of web performance optimization techniques. Ability to work both independently and collaboratively in a fast-paced environment. Strong problem-solving skills and attention to detail. Excellent communication skills and the ability to explain technical concepts to non-technical stakeholders. A portfolio of previous web development projects is a strong advantage. Benefits: Gain experience in the implementation and customization of Odoo, a leading open-source ERP system. Work with experienced developers in a collaborative environment. Receive mentorship and guidance from senior developers. Opportunity to work on real-world projects and gain practical skills. Understanding of software development methodologies and best practices. If you are passionate about web development, have a keen eye for design, and want to be part of a dynamic team that creates impactful web experiences, we encourage you to apply. Qualification : Bachelor/Master's degree in Computer Science, Web Development, or related field (or equivalent experience).

Job Title: Data Mining Executive Job Summary We are seeking a highly analytical Data Mining Executive to join our team. The ideal candidate will be responsible for gathering, analyzing, and extracting valuable insights from various datasets to support business decision-making. This role involves using advanced data mining techniques, conducting secondary research, and leveraging tools such as LinkedIn Sales Navigator to drive business opportunities. You will work closely with clients and internal teams to ensure accurate and actionable data is provided. Key Responsibilities Data Mining: Gather and analyze large datasets to extract meaningful insights and patterns to inform business strategies. Secondary Research: Conduct thorough secondary research to gather relevant data, industry trends, and competitor analysis to drive business decisions. Client Communication: Communicate effectively with clients to understand their data requirements and provide them with valuable insights and reports. Spreadsheet Management: Maintain and update spreadsheets to organize data, track project progress, and monitor deadlines. Outreach: Use LinkedIn Sales Navigator and other tools to support business outreach, gather client-specific data, and assist in client acquisition. Reporting and Analysis: Prepare detailed reports based on data mining and analysis to present findings to clients or senior management. Skills Required Data Mining: Experience in extracting and analyzing large sets of structured and unstructured data. Secondary Research: Strong research skills to gather relevant data from various sources. LinkedIn Sales Navigator: Proficiency in using LinkedIn Sales Navigator for client outreach and data collection. Spreadsheet Management: Expertise in managing and analyzing data using Excel or Google Sheets. Market Research: Ability to analyze market trends and competitor data to support business goals. Qualifications Any Graduate (Preferably in Business, Marketing, or related fields). Qualification : Any Graduate (Preferably in Computer Science or related field).

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

Position: Database Developer/Administrator Job Summary: We are looking for an experienced Database Developer/Administrator to join our team and manage, optimize, and secure our database systems. The ideal candidate will have strong SQL development and database administration skills, with a focus on performance tuning, data modeling, and ensuring high availability and reliability of database systems. Key Responsibilities: Design, develop, and optimize complex SQL queries, stored procedures, and functions. Implement database schema changes and performance tuning strategies. Troubleshoot and resolve query performance issues. Install, configure, upgrade, and maintain database systems. Ensure database security, availability, and reliability. Perform regular database backups, restoration, and disaster recovery planning. Develop and maintain database architecture and data models. Design and implement data migration strategies between different systems. Establish best practices for database design and development. Lead a team of database developers and administrators. Mentor and guide junior team members in database best practices. Work closely with application developers, business analysts, and stakeholders to meet project requirements. Monitor database health, usage, and performance using monitoring tools. Conduct regular audits to ensure database integrity and consistency. Implement and maintain high availability and failover solutions. Ensure compliance with data protection and privacy regulations. Maintain up-to-date documentation for database systems and procedures. Required Qualifications: Bachelor s degree in Computer Science, Information Technology, or a related field. 7+ years of hands-on experience in SQL development and database administration. Proficiency in database technologies like SQL Server, MySQL, PostgreSQL, or Oracle. Strong knowledge of query optimization, indexing, and database performance tuning. Experience with database backup and recovery, replication, and high availability solutions. Familiarity with database monitoring tools and technologies. Solid understanding of data modeling concepts and techniques. Knowledge of cloud-based databases and services (e.g., AWS RDS, Azure SQL Database) is a plus. Excellent problem-solving and analytical skills. If you are a skilled and experienced Database Developer/Administrator looking for an exciting opportunity, we encourage you to apply and contribute to the success of our team! 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

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.

Responsibilities: Design and Develop JavaScript Solutions: Leverage Typescript, Node.js, Express.js, and ReactJS frameworks to design, develop, and implement scalable solutions. Server-Side Development: Develop and maintain all server-side network components, ensuring high-performance and efficient code. Database Management: Develop and manage well-functioning databases and applications, ensuring they integrate seamlessly into the overall system. Security Protocols: Implement effective security protocols, data protection measures, and storage solutions to safeguard the applications and data. User Authentication: Manage user authentication and authorization across multiple systems, servers, and environments. Integration of Data Sources: Integrate multiple data sources and databases into a unified system, creating database schemas that represent and support business processes. Production Issue Resolution: Be available to resolve urgent production issues outside of business hours as required. Automated Testing Implementation: Implement automated testing platforms and unit tests to ensure robust and reliable code. Version Control and Development Practices: Use Git for version control and follow Test-Driven Development (TDD) practices to enhance the reliability and maintainability of the code. Requirements: Experience: At least 2+ years of Node.js back-end experience or as a Full Stack Developer with expertise in Node.js, React.js, Databases, APIs, etc. Testing Experience: Experience in testing with tools like Jest, Detox, Cypress, etc. Microservices & AWS Lambda: Skilled in microservices development and working with AWS Lambda functions. Database Knowledge: Experience with SQL, MongoDB, PostgreSQL, and DB migration (preferred). API Development: Proficient in building REST APIs, SOAP, and APIs in production and test servers. Version Control and Frameworks: Extensive experience with Git and GitHub for version control. Experience with ReactJS or a similar frontend framework. Additional Skills: Familiarity with Elasticsearch, Redis, and experience with Containerization. Strong knowledge of Linux and server management. Communication & Team Coordination: Strong communication and team coordination skills, with the ability to work independently and learn quickly.