Data Accuracy Jobs in Ahmedabad

Junior Coordinator ERP to CRM Digitization Location: Ahmedabad Role Objective: Support the digitization and integration of ERP and CRM systems by coordinating tasks, gathering process inputs, assisting in data mapping, and ensuring smooth collaboration between internal teams and vendors for timely project delivery. Key Responsibilities Project Support & Coordination Assist the project lead in day-to-day coordination between internal teams and IT/CRM vendors. Track task progress, maintain project documentation, and escalate delays or issues promptly. Business Process Documentation Collect inputs from sales, operations, and finance teams to document workflows. Maintain process maps, SOPs, and user requirement documents. Data Handling & Validation Assist in mapping customer, product, pricing, and order data between ERP and CRM systems. Support data cleanup, migration activities, and reconciliation during testing phases. User Acceptance Testing (UAT) & User Coordination Organize and monitor UAT for CRM/ERP modules. Gather user feedback and communicate effectively with the implementation team. Training & Onboarding Support Help prepare user guides and training materials. Support internal training sessions and address basic user queries during rollout. Key Requirements Bachelor s degree in Business, Engineering, IT, or related field. 2 4 years experience in ERP/CRM support, sales operations, or business process roles. Familiarity with tools like Zoho CRM, Salesforce, SAP, Tally, or MS Dynamics preferred. Good understanding of core business processes: inquiry, quotation, order processing, and invoicing. Strong documentation, follow-up, and coordination skills. Preferred Exposure Experience with CRM or ERP implementation/support projects. Basic knowledge of integration or automation tools (e.g., Zapier, API workflows). Proficiency in Excel, Google Sheets, and documentation tools. Comfortable working across IT, sales, and accounts teams. Qualification : Bachelors degree in Business, Engineering, IT, or related field

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.

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).

ArchiCAD: CAD-BIM Technician/ArchiCAD Technician Responsibilities: BIM/CAD/ArchiCAD Professional: Possess a solid understanding of architectural drawings and collaborate with teams to ensure quality documentation. Construction Document Creation: Generate construction document sets based on design drawings, ensuring accurate and clear representation of the project scope. Understanding Architectural, Civil, and Structural Drawings: Review and interpret architectural, civil, and structural drawings to create and refine construction documents. Team Collaboration & Quality Control: Work closely with the team to ensure drawing accuracy and consistency, reviewing and checking the work of team members to meet project standards. BIM/CAD Software Operation: Operate BIM or CAD software to develop architectural models, drawings, and documentation efficiently. Requirements: Educational Qualifications: Bachelor s degree in Civil Engineering (B.Tech), Architecture (B.Arch.), or a Diploma in Architecture. Experience: 4-5 years of experience in preparing architectural drawings and detailing sets using Revit/ArchiCAD, with a minimum of 3 years of experience in outsourcing architectural drawings (Australia, NZ, USA). Skills & Expertise: Proficiency in architectural modeling, drawing, and documentation. Strong experience in Revit/ArchiCAD is highly preferable. Experience in working with international standards and outsourcing practices will be a plus. Qualification : Bachelors degree in Civil Engineering (B.Tech), Architecture (B.Arch.), or a Diploma in Architecture.

Revit / BIM Professional Revit Architect Responsibilities: Revit/BIM Expertise: Utilize Revit for architectural modeling and ensure a strong understanding of architectural drawings to produce accurate models and documentation. Construction Document Creation: Create comprehensive construction document sets based on design drawings, ensuring precision and alignment with project specifications. Family Creation & Management: Be familiar with Revit families and ensure efficient use and creation of families for various architectural elements. Architectural, Civil, and Structural Drawings: Demonstrate proficiency in creating construction drawings across architectural, civil, and structural domains, ensuring they meet quality and industry standards. Offshore Project Experience: Experience in working with offshore projects (Australia, US, UK) is a significant advantage, ensuring familiarity with international project requirements and standards. Exposure to LOD (Levels of Development): Experience with LOD 300, LOD 400, and other development stages will be a plus, ensuring accurate and comprehensive models. Requirements: Qualification: Bachelor s degree in Architecture (B. Arch) is necessary. Experience: Proven experience with Revit and BIM, particularly in architectural modeling and construction documentation. Preferred Experience: Experience in offshore projects (Australia, US, UK) is a significant advantage. Exposure to LOD 300, 400, or similar levels of development will be a plus. Qualification : Bachelors degree in Architecture (B. Arch) is necessary.

Position: AI/ML Python Developer Job Overview: We are seeking an experienced AI/ML Python Developer to join our dynamic team. In this role, you will leverage cutting-edge technologies to build and deploy machine learning models, contribute to innovative projects, and work with large language models (LLMs) and retrieval-augmented generation (RAG) systems. Key Responsibilities: Develop and optimize machine learning models using Python, ensuring high performance and accuracy. Utilize frameworks like TensorFlow and PyTorch for model training, evaluation, and deployment. Process and analyze data using tools such as scikit-learn, NumPy, and pandas to build robust data pipelines. Implement natural language processing techniques, including text preprocessing, tokenization, and embeddings. Work with large language models such as GPT, BERT, T5, and LLaMA, including fine-tuning and prompt engineering. Build and manage RAG pipelines with vector databases such as FAISS, Pinecone, or Chroma. Develop multi-agent systems using frameworks like LangChain, LangGraph, or CrewAI. Design and implement APIs for seamless model deployment using FastAPI, Flask, or Django. Collaborate effectively using Git/GitHub for version control and to ensure efficient team workflows. Contribute to the development, training, and deployment of models using Hugging Face tools. Work with both SQL and NoSQL databases to handle and preprocess large datasets. Required Skills & Experience: Proficiency in Python, especially for AI/ML model development. Experience with machine learning and deep learning frameworks, particularly TensorFlow and PyTorch. Strong understanding of data science concepts and tools like scikit-learn, NumPy, and pandas. Expertise in Natural Language Processing (NLP) techniques, including text preprocessing and embeddings. Familiarity with transformer models such as GPT, BERT, T5, and LLaMA, along with fine-tuning and prompt engineering. Experience with Retrieval-Augmented Generation (RAG) and vector databases like FAISS, Pinecone, or Chroma. Knowledge of multi-agent systems and frameworks such as LangChain, LangGraph, or CrewAI. Strong skills in API development using FastAPI, Flask, or Django. Solid understanding of version control using Git/GitHub. Hands-on experience with Hugging Face for model training and deployment. Location: Ahmedabad, Gujarat, India (Ognaj, eInfochips) Employment Type: Full-time Job Category: Engineering Services

Job Title: Solution Engineer (Sales) Location: Ahmedabad, India Job Type: Full-time About the Role: As a Sales Solution Engineer for the Experro platform, you will be a key technical liaison between our Sales team and prospective customers. You ll leverage your in-depth product knowledge, industry expertise, and consultative approach to demonstrate how Experro s solutions can meet the unique business and technical requirements of enterprise clients. Partnering closely with Account Executives, you will lead product demonstrations, craft tailored solutions, guide prospects through proof-of-concept engagements, and play a central role in driving platform adoption and revenue growth. Key Responsibilities: Technical Pre-Sales Support: Collaborate with Sales Executives to understand customer needs, present tailored solutions, and deliver compelling product demonstrations that highlight the Experro platform s capabilities and value proposition. Solution Design & Architecture: Work closely with prospects to translate their business objectives and technical requirements into solution designs leveraging Experro s features, integrations, and APIs. Proof-of-Concept Management: Lead proof-of-concept and pilot projects by setting up environments, configuring integrations, and guiding customers through hands-on evaluation, ensuring a smooth and successful technical validation process. Technical Liaison: Communicate prospect feedback, technical challenges, and feature requests to Product Management, Engineering, and Support teams to influence product enhancements and address market needs. RFP/RFI Responses: Participate in the development and review of technical content for proposals, RFPs, and RFIs, ensuring accuracy, clarity, and compliance with customer requirements. Relationship Building: Establish trusted-advisor relationships with prospects technical teams and key decision-makers, positioning Experro as a strategic partner for their digital transformation initiatives. Knowledge Sharing & Enablement: Provide training, best practices, and technical guidance to internal Sales and Customer Success teams to ensure they are well-equipped to communicate Experro s value proposition effectively. Continuous Improvement: Stay current on industry trends, competitive products, and emerging technologies to maintain a strong technical presence and continually refine solution strategies. Qualifications: Education & Experience: Bachelor s degree in Computer Science, Information Technology, or a related field. 5+ years of experience in a pre-sales, solutions engineering, or technical consulting role within the software or SaaS industry. Technical Expertise: Strong understanding of web technologies, APIs, data integrations, and cloud computing. Familiarity with e-commerce, digital experience platforms, or related enterprise software solutions is highly desirable. Communication & Presentation Skills: Exceptional ability to simplify complex technical concepts for non-technical stakeholders. Strong written, verbal, and presentation skills, with a proven track record of delivering compelling product demonstrations. Problem-Solving & Analytical Thinking: Adept at identifying customer challenges, proposing solutions, and articulating technical capabilities in a consultative manner. Comfortable with diving deep into technical details to resolve customer queries. Team Player: Experience working closely with cross-functional teams Sales, Product Management, Engineering, Customer Success to deliver an outstanding end-to-end customer journey. Adaptability & Drive: Self-motivated, highly organized, and able to thrive in a fast-paced environment. Demonstrated ability to handle multiple opportunities simultaneously while meeting deadlines and achieving objectives. Career Growth: Join a fast-growing company with opportunities for personal and professional development. Impact: Work on cutting-edge SaaS solutions impacting global enterprise clients. Dynamic Environment: Collaborate with talented teams and work in a highly innovative, fast-paced environment. Global Exposure: Work with international clients and gain exposure to a variety of industries and challenges. If you're an experienced Solution Engineer with a passion for technology, consultative sales, and SaaS solutions, we d love to have you join our Rapidops team to make a meaningful impact! Qualification : Bachelors degree in Computer Science, Information Technology, or a related field.

Job Title: Technical Document Writer 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 is a lot more to build and transform. Job Overview: We are looking for an experienced Technical Document Writer to join our team. This role focuses on producing and maintaining high-quality technical documents that clarify our IT projects, systems, and processes. The ideal candidate will collaborate closely with technical teams to capture, structure, and convey information effectively to meet the needs of internal and external stakeholders. Key Responsibilities: Documentation Creation and Maintenance: Create, update, and maintain technical documentation such as system requirements, technical specifications, process workflows, API documentation, and user manuals. Collaboration with Teams: Work closely with development, QA, and product teams to understand project requirements and translate them into clear, concise documentation. Technical Guides and Release Notes: Develop technical guides, release notes, and training materials to support product releases and process improvements. Simplify Complex Concepts: Document complex IT concepts in a structured format that is accessible for various audiences, including non-technical stakeholders. Consistency and Accuracy: Ensure consistency and accuracy in all documentation, adhering to company standards and guidelines. Conduct Interviews with SMEs: Conduct interviews with subject matter experts (SMEs) to gather information and verify document content. Review and Edit Documentation: Review and edit technical documents prepared by other team members to ensure clarity, completeness, and accuracy. Stay Current on Industry Standards: Stay up-to-date on industry standards for technical writing to continually improve documentation quality and efficiency. Qualifications: Education: Bachelor s degree in Technical Writing, Computer Science, Information Technology, Communications, or a related field. Experience: 5+ years of proven experience in technical writing within the IT industry, preferably in software or system documentation. Technical Writing Tools: Proficient in technical writing tools such as MS Office, Confluence, JIRA, MadCap Flare, or similar documentation platforms. IT Knowledge: Strong understanding of IT concepts, SDLC (Software Development Life Cycle), and project management methodologies. Communication Skills: Excellent written and verbal communication skills with a keen eye for detail. Independent and Collaborative Work: Ability to work independently and collaboratively in a fast-paced environment. Innovation: Work with a rapidly growing company and help shape the future of digital products and software solutions. Career Growth: Opportunities for learning and advancing your career in technical writing and IT. Impact: Your documentation will help shape the success of our IT projects, influencing both internal and external stakeholders. Dynamic Environment: Be part of a highly collaborative and innovative team dedicated to building cutting-edge solutions. If you re an experienced Technical Document Writer with a passion for clarity and precision, we d love to have you as part of the Rapidops team. Join us in helping businesses across the globe transform and succeed! Qualification : Bachelors degree in Technical Writing, Computer Science, Information Technology, Communications, or a related field.

Technical Skills: Strong experience in Python, R, or Scala for data analysis and modeling. Proficiency in machine learning frameworks like TensorFlow, PyTorch, or Scikit-learn. Strong command on NLP domain models. Hands-on expertise with time-series forecasting techniques (e.g., ARIMA, LSTM, GRU), building CICD pipeline and model monitoring system. Experience working with large datasets and distributed computing tools (Hadoop, Spark). Optimize and fine-tune models for performance, accuracy, and scalability. Experience in reinforcement learning or online learning techniques. Expertise in handling large-scale datasets, using tools like Pandas, NumPy, and SQL. Knowledge of cryptocurrency markets, blockchain, and financial modeling. Proficiency in cloud platforms like AWS, GCP, or Azure for deploying machine learning models.

We are seeking an organized and proactive Office and HR Assistant to join our team (Female). The ideal candidate will provide essential support to the smooth functioning of our office operations and assist the Human Resources department. The Office and HR Assistant will play a crucial role in maintaining a productive and harmonious work environment. Responsibilities Office Administration Greet visitors, answer incoming calls, and handle inquiries in a courteous and professional manner. Maintain and organize office supplies, ensuring availability for all staff members. Handle incoming and outgoing mail, and manage courier services as required. Maintain office cleanliness and ensure a well-organized workspace. Preferable experience on Adobe XD, Angular, WordPress Human Resources Support Assist in the recruitment process by posting job listings, screening resumes, and scheduling interviews. Prepare new employee onboarding materials and conduct orientation sessions. Maintain employee records and update HR databases with relevant information. Process HR-related paperwork, including employee contracts and benefits enrollment. Administrative Support Assist in preparing and editing various documents, reports, and presentations. Help with data entry, file management, and other administrative tasks. Support finance and accounting with basic bookkeeping and expense tracking. Office Culture and Employee Engagement Assist in planning and organizing office events and team-building activities. Help promote a positive office culture and support employee morale. Collaborate with the HR team to implement employee recognition initiatives. Responsibilities Graduation or higher; additional qualifications in office administration or HR will be a plus. Proven experience in an administrative or HR support role. Proficiency in MS Office applications (Word, Excel, Outlook, PowerPoint). Strong attention to detail and accuracy. Outstanding communication and interpersonal abilities. Ability to maintain confidentiality and handle sensitive information with discretion. A proactive and self-motivated attitude with a willingness to learn and take on new challenges. If you are a reliable and adaptable individual with a passion for supporting office operations and HR functions, we encourage you to apply. Join our team and contribute to the success of our organization.

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: Business Development Executive Intern Job Summary We are seeking a BDE Intern to support our business development efforts by conducting web research, identifying prospects, and maintaining an updated database. The ideal candidate will have strong web research skills, proficiency in using MS Office (especially Word, Excel, and Outlook), and good communication skills. As a BDE Intern, you will gather key contact information and maintain accurate records to support business growth. Key Responsibilities Web Research: Conduct web research from various platforms based on the company's defined strategy. Identify potential prospects and key contacts relevant to the business. Data Collection & Database Maintenance: Gather missing data from websites and other sources to ensure completeness. Maintain and update the company s database using CRM tools or Google Sheets. Lead Generation: Identify leads and compile information to drive business development. Collaboration & Reporting: Collaborate with other team members to ensure data accuracy and timely updates. Report on lead generation and data research progress. Proficiency in MS Office: Utilize MS Office tools (Word, Excel, Outlook) for research, data entry, and communication. Skills Required Lead Generation: Experience or understanding of identifying potential leads. Data Mining: Proficient in collecting and organizing data from different platforms. Business Development: Ability to support business development efforts through accurate data and insights. MS Office: Proficiency in MS Word, Excel, and Outlook. Communication Skills: Good written and verbal communication skills in English. Qualifications Any Graduate (Preferably in Business, IT, or related fields).

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.

Job Title: Mid-Level Finance Executive Reporting to: Sr. General Manager Finance & Accounts Role Overview We are seeking a highly skilled finance professional with a strong background in financial management, analysis, and reporting. The ideal candidate will be a Chartered Accountant (CA) or hold an MBA in Finance and possess proven expertise in tracking day-to-day financial operations, developing MIS reports, and improving financial processes. Key Responsibilities Track and monitor day-to-day financial operations to ensure accuracy, compliance, and operational efficiency. Develop and maintain daily and monthly MIS reports to provide insights into financial performance and support decision-making. Identify and address abnormalities or discrepancies in financial data with proactive measures. Assist in improving and optimizing the existing ERP system to enhance operational efficiency. Develop and maintain business intelligence (BI) reports for streamlined reporting and timely delivery of insights to functional heads. Lead various projects and business development initiatives, collaborating with cross-functional teams to meet project goals. Provide financial analysis, budgeting, forecasting, and financial modeling support to senior management. Stay updated on industry trends, regulations, and best practices in finance and accounting to ensure compliance and continuous improvement. Ensure the accurate and timely filing of tax returns in accordance with statutory requirements.

About the Team: The Translations Department operates within the Documents Insights & Services domain of the Market Intelligence division at S&P Global. This team is responsible for ensuring the timely and accurate translation of content to support both financial and non-financial data collection teams across the division. The department also supports translation needs for various other divisions within the organization. As part of the team, you will be exposed to cutting-edge translation tools and will engage in frequent interactions with global teams, offering valuable insights into industry dynamics, cultural diversity, and the cultivation of a collaborative work environment. The Impact: In this role, you will lead a team of 16 to 18 associates, contributing significantly to the achievement of departmental and organizational goals. You will work closely with your manager to drive initiatives related to translation operations, ensuring that the team delivers high-quality results while adhering to company policies and guidelines. This role provides an opportunity to lead by example, embrace change, and manage communication effectively across diverse teams, supporting the continuous development of your team members and fostering a high-performance culture. What s in it for You: Exposure to Global Operations: Join a large and growing translation operations team, with over 300 employees spread across 7 operating sites, utilizing state-of-the-art tools and processes. Cross-Functional Collaboration: Work with multicultural teams based in Ahmedabad, Hyderabad, Islamabad, Manila, South Korea, Malaysia, and Buenos Aires, aligning with global objectives. Skill Development: Gain broad exposure to various data collection processes within S&P Global, with a focus on translation services required across the organization. Key Responsibilities: Team Leadership: Lead and manage a team of 16 to 18 associates, ensuring optimal performance in the data extraction process from multiple sources, tools, and documents. Process Management: Oversee day-to-day workflow management, ensuring that team members meet operational targets and maintain high accuracy and efficiency in their work. Compliance & Quality Assurance: Ensure team members adhere to company guidelines, policies, and research tools while maintaining compliance in data/information collection processes. Performance & Development: Manage performance reviews, provide coaching, and lead talent development initiatives. Support individual career growth through personalized feedback and training. Stakeholder Engagement: Serve as a point of contact for internal and external clients, ensuring smooth communication and the successful execution of translation and data enhancement projects. Delegation & Resource Planning: Identify individual strengths within the team to allocate tasks effectively, and plan resource requirements to meet business needs while ensuring continuity of operations. What We re Looking For: Functional and Business Knowledge: Strong understanding of operations principles, business and data/content management, and operational workflows. Familiarity with relational database concepts and translation tools, with the ability to leverage these for operational success. Problem-Solving & Project Management: Ability to resolve complex issues within operations and manage projects from inception to completion. Strong conflict and change management skills, with the capacity to perform under pressure and make well-informed decisions. Client and Stakeholder Management: Maintain productive relationships with international clients, ensuring the successful delivery of services. Understand client needs and manage expectations while communicating efficiently and effectively. People Development & Performance Management: Lead team performance management, provide coaching and support, and identify development needs. Set clear goals, provide ongoing training, and foster an environment of continuous improvement. Required Skills & Qualifications: Excellent Communication: Proficient in both written and spoken communication, with the ability to engage with global teams and stakeholders effectively. Leadership and Interpersonal Skills: Strong team leadership abilities, with a focus on building relationships and fostering a collaborative team culture. Analytical & Decision-Making Abilities: Strong analytical thinking, decision-making skills, and attention to detail. Technical Proficiency: Intermediate knowledge of Microsoft Access, SQL, and advanced Microsoft Excel skills. Familiarity with RPA, Machine Learning, and Lean/Six Sigma methodologies is preferred. Flexible Work Schedule: Ability to work in rotational or night shifts as needed. Preferred Qualifications: Postgraduate degree in Commerce, Business Administration, or Management. Bachelor's or Master's Degree in Computer Science. Qualification : Bachelor's or Master's Degree in Computer Science.

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.

Role & Responsibilities We are seeking a proactive and experienced HR professional to manage the end-to-end recruitment process, drive employee engagement initiatives, and ensure adherence to HR policies and compliance standards. The ideal candidate will play a pivotal role in fostering a positive work environment and supporting organizational growth. Key Responsibilities Talent Acquisition: Source and screen candidate profiles via job boards, social media, and advanced recruitment tools. Manage the full recruitment lifecycle conduct initial interviews, coordinate assessments, facilitate interview panels, and ensure a seamless offer and onboarding process. Onboarding & Employee Integration: Coordinate new hire logistics, prepare documentation, issue appointment letters, and organize induction programs. Manage company asset distribution, welcome communications, and ensure a smooth onboarding experience. HR Operations & Compliance: Execute reference checks, manage performance evaluations, and issue confirmation letters post-probation assessments. Ensure adherence to ISO standards, maintain accurate documentation, and support audit processes for compliance. Maintain and update insurance records, oversee policy renewals, and manage reimbursement processes with accuracy. Employee Engagement & Relations: Organize and coordinate employee engagement events, handle grievance resolution, and gather feedback to improve employee satisfaction and retention. Lead campus placement initiatives, manage trainee onboarding, and monitor training schedules and assessments. HR Communication & Exit Management: Communicate policy updates, event details, and organizational announcements through official HR channels. Manage employee exit processes, including resignation follow-ups, clearance procedures, exit interviews, and final documentation. Primary Skills Strong Communication and Leadership skills Expertise in Talent Management, Onboarding, and Training & Development Secondary Skills (Nice-to-Have) Problem-Solving and Employee Relations experience Knowledge of Learning and Development processes Basic Technical Skills