Data Binding 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.

Position Title: Android Developer Location: Ahmedabad Experience: 4+ years (Java & Android), 1.5+ years (Kotlin) Responsibilities Design, develop, and maintain Android mobile applications ensuring performance and reliability. Develop HTML5 mobile websites and JSON web services to support app functionality. Collaborate closely with Product and Design teams to deliver new features and enhancements. Implement new technologies to optimize app performance and user experience. Provide ongoing application support and troubleshooting. Technical Skills Strong proficiency in Java and Android Studio. Experience with MySQL Lite, Web Services, and Android Core APIs. Minimum 1.5 years of hands-on experience with Kotlin. Expertise working with Jetpack components including LiveData, Room Database, Data Binding, and MVVM architecture. Experience building and maintaining transaction applications (e.g., Sales, Purchase, CRM, Inventory, Finance). Familiarity with cutting-edge open source libraries such as RxJava, Retrofit/OkHttp, and Dagger. Experience with unit and UI testing methodologies. Ability to interpret and work with QA test plans. Strong version control skills including branching and pull requests. Additional Experience Experience with mobile app deployment on Google Play Store. Knowledge of web application development using HTML5 and jQuery is preferred. Database design and development experience is a plus.

Job Title: Full Stack Developer Angular + Java (Spring Boot) Location: Ahmedabad, Gujarat Job Type: Full-Time Job Overview: We are seeking a skilled and motivated Full Stack Developer (Angular + Java Spring Boot) to join our development team in Ahmedabad. You will work closely with Solution Architects, Technical Architects, and Business Analysts to build scalable, secure, and efficient web applications. This role requires strong expertise in both frontend and backend technologies and a passion for clean, maintainable code. Key Responsibilities: Collaborate with architects and analysts to understand functional and technical requirements. Develop user interfaces using Angular and backend services using Java (Spring Boot). Integrate frontend and backend components to ensure seamless, end-to-end functionality. Participate in requirement discussions, technical reviews, team meetings, and sprint planning. Perform thorough testing to ensure software quality and eliminate bugs. Research and develop proof of concepts (POCs), and present findings to the team. Follow best practices for code design, structure, and performance optimization. Required Skills: Proficiency in Angular (latest versions) for building dynamic user interfaces. Strong knowledge of Java and Spring Boot for backend development. Experience in building and integrating RESTful APIs. Familiarity with version control tools such as Git. Solid understanding of software development lifecycle (SDLC) and agile methodologies. Strong debugging and problem-solving skills. Preferred Skills: Experience with relational or NoSQL databases (e.g., MySQL, MongoDB). Exposure to microservices architecture and DevOps tools is a plus. Work on impactful, enterprise-grade applications. Collaborative and supportive work environment. Located in Ahmedabad with flexible and growth-oriented culture. If you re a passionate full stack developer looking to work on exciting projects with a modern tech stack apply today!

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).

Quality Analyst Location: Ahmedabad Job Overview: We are looking for a dedicated Quality Analyst to join our team. This role is responsible for ensuring the quality of our applications by following written procedures and inspection criteria. The ideal candidate will have a keen eye for detail, excellent communication skills, and a passion for problem-solving. You will be involved in the creation and execution of test plans and test cases, ensuring that the final product meets functional and design specifications. Primary Responsibilities: Test Plan Development & Test Case Design: Identify test requirements from specifications and design a test coverage plan. Develop, document, and maintain functional test cases and other test artifacts, such as test data, data validation, harness scripts, and automated scripts. Ensure that all test cases meet the specifications and align with coding standards. Test Execution & Reporting: Execute tests and deliver timely QA reports with detailed findings. Focus on meeting deadlines and delivering high-quality tests, ensuring quick identification of defects and bugs. Review & Collaboration: Hold and facilitate test plan/case reviews with cross-functional team members to ensure the quality of the product. Work closely with development, project management, and customer support teams to facilitate smooth testing processes. Ensure Compliance with Specifications: Validate that all deliverables meet functional and design specifications and requirements. Liaise with the development team to communicate bugs and issues found during testing. Problem Solving: Apply creative and technical problem-solving skills to translate requirements into effective test plans. Identify and resolve issues that arise during testing and help improve the product's overall quality. Experience Requirements: Test Case Development & Test Planning: Experience in identifying test requirements from specifications, designing test coverage plans, and developing detailed test cases. Functional Testing & Documentation: Proven ability to document and maintain functional test cases and other necessary test artifacts like test data, harness scripts, and automated scripts. Collaboration & Communication Skills: Strong verbal and written communication skills to ensure clear documentation of test plans, test cases, and bug reports. Comfortable liaising with cross-functional teams, including developers, project managers, and customer support. Problem Solving & Technical Skills: Ability to creatively solve technical problems, ensuring that testing efforts are aligned with product requirements and functionality. Attention to Detail & Focus on Deadlines: Ability to find defects quickly and ensure that deadlines for test execution and reporting are met. Qualifications: Bachelor's degree in Computer Science or a related field, or equivalent experience. Previous experience in a Quality Analyst or Software Testing role. Strong understanding of test case development, test plans, and functional testing. Experience with automated testing scripts and test data management is a plus. Excellent problem-solving and analytical skills. If you have a strong passion for quality assurance and enjoy working in a collaborative environment, we encourage you to apply for this opportunity to ensure the success of our product testing efforts. Qualification : Bachelor's degree in Computer Science or a related field, or equivalent experience.

Job Title: QA (Manual Tester) Location: Ahmedabad, India Job Type: Full Time Job Overview: We are seeking a skilled QA Manual Tester with 2 to 5 years of experience to ensure the quality and reliability of our software applications. The ideal candidate will have a sharp eye for detail, strong analytical skills, and a passion for delivering high-quality software products. As a QA Tester, you will play a key role in ensuring that our products meet the highest standards of quality before reaching our customers. Key Responsibilities: Test Case Development & Execution: Develop, execute, and maintain manual test cases, test plans, and test scripts. Identify, document, and track software defects using bug-tracking tools. Testing Activities: Perform functional, regression, system, UI/UX, and integration testing to ensure software works as expected. Participate in requirement analysis sessions to provide feedback on usability and potential areas for quality improvements. Collaboration: Collaborate with developers, product managers, and other stakeholders to understand project requirements. Ensure test activities are aligned with project timelines and quality standards. API Testing: Validate API responses using tools like Postman (basic knowledge of API testing is preferred). Documentation: Prepare detailed test reports, document test results, and effectively communicate findings to the development team and stakeholders. Continuous Improvement: Work closely with automation teams to enhance testing efficiency and assist in automating repetitive tasks where applicable. Required Skills & Qualifications: Experience: 2 to 5 years of experience in manual testing within the IT industry. Testing Knowledge: Strong understanding of SDLC (Software Development Life Cycle), STLC (Software Testing Life Cycle), and various testing methodologies. Experience in functional testing, regression testing, UI testing, and system testing. Bug Tracking Tools: Familiarity with bug tracking tools such as JIRA, Bugzilla, or similar platforms. Database Validation: Basic knowledge of SQL queries for database validation. API Testing: Exposure to API testing using Postman is a plus. Cross-Browser & Cross-Platform Testing: Good understanding of cross-browser and cross-platform testing. Skills: Strong analytical and problem-solving skills. Excellent verbal and written communication skills. Why Join Us: Impactful Work: Be part of a team focused on delivering high-quality software that impacts the end user experience. Collaborative Environment: Work closely with developers, product managers, and other stakeholders in a fast-paced, Agile environment. Career Growth: Opportunities to grow within the QA field, and exposure to automation testing as part of continuous learning. Innovative Projects: Work on diverse and interesting software applications across different industries. If you are passionate about quality assurance and ensuring the delivery of excellent products, we d love to hear from you. Join us and help us continue to build products that meet and exceed our customers' expectations.

Job Title: SaaS Business Analyst Location: Ahmedabad, India Job Type: Full-time About Rapidops: Rapidops Inc. is one of the fastest-growing digital products and software companies in the USA. At Rapidops, we re passionate about enabling companies and individuals to thrive in their work. We partner with leading companies of all sizes and shapes to help transform their businesses and industries with our advanced digital products, software, and services. Our products touch millions of lives daily, solve tough problems, and help to make the world a better place. And there s a lot more to build. About the Role: We are seeking a SaaS Business Analyst with strong eCommerce and CMS experience to help shape and enhance our AI-powered Digital Experience Platform (DXP), Experro. Experro is a software-as-a-service (SaaS) product used by eCommerce brands to deliver blazing-fast, personalized, and high-converting customer experiences. In this role, you will collaborate with product, engineering, and customer-facing teams to translate business goals into actionable requirements. You ll leverage your knowledge of eCommerce platforms (Shopify, BigCommerce, Magento) and CMS/Customer Data Platforms to drive product improvements, enhance user experiences, and influence the product roadmap with data-driven insights. Key Responsibilities: Requirements & Analysis: Gather and document business requirements, user stories, and acceptance criteria for new features, improvements, and product offerings on the Experro platform. Market & Customer Insight: Stay informed on industry trends, competitor offerings, and customer feedback. Translate findings into recommendations that enhance engagement, conversion rates, and user satisfaction. E-Commerce & CMS Expertise: Use your domain knowledge of eCommerce platforms (e.g., Magento, BigCommerce, Shopify) to shape product features and workflows that align with best practices for online stores, content management, and personalized experiences. Product Design Collaboration: Work closely with UX/UI designers to translate the written requirements into accurate feature designs. Cross-Functional Collaboration: Work closely with Leadership, Product, Engineering, and Customer Success teams to ensure alignment, validate features, and address user challenges. Data-Driven Decisions: Use analytics and reporting tools to identify opportunities for improvement, refine features, and continuously enhance the platform s performance and usability. Qualifications: Educational Background: Bachelor s degree in Business, Computer Science, or a related field. Experience: 3+ years of experience as a Business Analyst (or similar role) with hands-on experience in at least one eCommerce platform (e.g., Shopify, BigCommerce, Magento). Familiarity with CMS and Customer Data Platforms is a plus. Research Skills: Strong ability to research new innovations, concepts, competitors, customer needs, and market trends, and translate them into product feature and improvement ideas. Analytical & Technical Skills: Comfortable with APIs, integrations, and standard analytics tools. Ability to translate data into actionable insights. Communication & Collaboration: Clear and concise communicator who can bridge the gap between technical and non-technical teams. Adaptability: Thrive in a fast-paced environment, quickly adjusting to evolving priorities and changing market demands. Innovation: Be a part of a rapidly growing company at the forefront of digital product development and innovation. Impact: Work on products that transform industries and make a positive impact globally. Collaborative Culture: Join a passionate and dynamic team where ideas are valued and collaboration is key. Career Growth: Rapidops offers opportunities for personal and professional development in a fast-paced, high-reward environment. Qualification : Bachelors degree in Business, Computer Science, or a related field.

Responsibilities: Evaluate business processes, anticipate requirements, identify areas for improvement, and develop and implement solutions. Lead ongoing reviews of business processes and develop optimization strategies. Stay up-to-date on the latest process and IT advancements to automate and modernize systems. Conduct meetings and presentations to share ideas and findings. Perform requirements analysis. Document and communicate the results of your efforts. Effectively communicate insights and plans to cross-functional team members and management. Gather critical information from meetings with various stakeholders and produce useful reports. Work closely with clients, developers, and managerial staff. Allocate resources and maintain cost efficiency. Ensure solutions meet business needs and requirements. Perform user acceptance testing. Manage projects, develop project plans, and monitor performance. Update, implement, and maintain procedures. Prioritize initiatives based on business needs and requirements. Serve as a liaison between stakeholders and users. Manage competing resources and priorities. Monitor deliverables and ensure timely completion of projects. Requirements: A minimum of 3 years of experience in business analysis or a related field. Exceptional analytical and conceptual thinking skills. Ability to influence stakeholders and work closely with them to determine acceptable solutions. Advanced technical skills. Excellent documentation skills. Strong analytical and conceptual thinking abilities. Experience in creating detailed reports and delivering presentations. Excellent planning, organizational, and time management skills. Strong written and verbal communication skills. Attention to detail. Experience working in the healthcare industry is an added advantage.

Requirements: Research, track, maintain and update Leads. Contact prospects to qualify Leads. Conduct customer research Email Marketing and different strategies. Bidding in Upwork and other freelancing platform. Develop a strong knowledge of the company s products and services in order to facilitate the sales process. Excellent english communication (verbal and written). Experience working with western companies. Qualification: (if any particular needed): MBA Preferred Qualification : MBA Preferred

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: PPC Executive Career Level: IC1-IC2 | Department: Digital Marketing | Location: Ahmedabad | Experience: 2+ years Position Summary We are seeking a detail-oriented and results-driven PPC Executive to join our dynamic marketing team. The ideal candidate will be responsible for managing and optimizing pay-per-click campaigns across various platforms to drive traffic, increase brand awareness, and achieve conversion goals. This role requires a strong analytical mindset, creativity, and a passion for digital marketing. Key Responsibilities Develop, implement, and manage PPC campaigns across Google Ads, Bing Ads, and social media platforms. Conduct keyword research and selection to optimize campaigns for maximum ROI. Monitor and analyze campaign performance, making data-driven adjustments to improve results. Create compelling ad copy and landing pages that drive conversions. Manage budgets and bids to ensure efficient allocation of resources. Stay up-to-date with industry trends and best practices in PPC and digital marketing. Collaborate with cross-functional teams, including SEO, content, and design, to align marketing strategies. In-depth knowledge of Google Analytics 4 to understand user behavior and define custom events to track conversion. In-depth knowledge of Google Tag Manager to implement custom events based on user behavior and track conversion. Prepare and present regular performance reports and insights to stakeholders. Personal Attributes Strong analytical and problem-solving skills. Excellent attention to detail and organizational abilities. Ability to work independently and as part of a team. Creative thinker with a passion for digital marketing. Strong communication skills, both written and verbal. Results-oriented with a focus on achieving targets. Education and Qualification Bachelor s degree in Marketing, Business, or a related field. Proven experience in managing PPC campaigns (1-2 years preferred). Familiarity with Google Ads, Bing Ads, and Meta advertising platforms. Knowledge of web analytics tools (e.g., Google Analytics, Google Tag Manager, Taboola). Google Ads certification is a plus. Join our team and be part of creating impactful campaigns that make a difference for our clients. If you re a creative thinker with a passion for words and a drive to succeed, we d love to hear from you! Qualification : Bachelors degree in Marketing, Business, or a 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 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 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.