Data Transformation 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: Full Stack Developer .NET Core Location: Ahmedabad Experience: 4 8 years Role Overview We are looking for a skilled and motivated Full Stack Developer (.NET Core) to join our technology team in Ahmedabad. The ideal candidate should have hands-on experience in designing and developing enterprise-level applications using .NET Core, Web APIs, SQL Server, and cloud-native technologies. This role will require strong backend and DevOps skills, with additional experience in front-end frameworks being a plus. Key Responsibilities Design, develop, and deploy ASP.NET Core and .NET Framework-based web applications. Implement RESTful Web APIs, backend services, and manage database operations using SQL Server (stored procedures, complex queries, table design). Work with Entity Framework Core and ASP.NET Core Identity for data and user management. Design and develop solutions in Microservices or Service-Oriented Architecture (SOA). Utilize Azure DevOps, Git, or Jenkins for CI/CD, version control, and deployments. Transform legacy applications using tools like .NET Upgrade Assistant or Try Convert. Deploy and manage applications on cloud platforms using Docker/Containers, App Services, AKS, Azure Container Registry, etc. Leverage Azure services including Web Apps, Storage Accounts, VMs, Function Apps, and Logic Apps. Collaborate with QA, DevOps, and product teams to ensure high-quality and timely delivery. Maintain and update technical documentation, including low-level designs (LLDs). Assist in resolving technical issues for team members and mentor junior developers. Manage source control tasks including branching, merging, and resolving code conflicts. Required Skills Strong programming skills in .NET Core, C#, Web APIs, and SQL Server. Experience with Microservices architecture and distributed systems. Proficiency in DevOps practices, CI/CD tools like Azure DevOps, Jenkins, or Bitbucket. Good understanding of HTML5, CSS3, XML/XSLT, and OOP principles. Familiarity with Docker, Kubernetes (AKS), and containerized app deployments. Working knowledge of cloud platforms preferably Azure; experience with AWS or GCP is a plus. Experience with transformation/migration of monolithic applications to cloud-native microservices. Good to Have Front-end development skills using Angular, React, or Knockout.js. Cloud certifications (Azure, AWS, or GCP). Experience in building scalable, high-transactional applications. Soft Skills Strong problem-solving and debugging abilities. Good communication and documentation skills. Ability to work independently and as part of a team. Willingness to mentor and support junior developers. Flexible and proactive approach to learning new technologies.

Functional Consultant Finance (CA Firm) | 2+ Years Experience | Ahmedabad We are seeking a knowledgeable Functional Consultant Finance with 2+ years of experience working with CA firms to analyze finance-related requirements and tailor software solutions that streamline accounting, auditing, and compliance workflows. The ideal candidate will serve as a vital link between technical teams and CA firm stakeholders, ensuring software solutions meet industry standards and regulatory requirements. Key Responsibilities: Analyze and document finance, accounting, and auditing requirements specific to Chartered Accountant (CA) firm clients. Customize and configure software solutions to align with CA firm workflows and compliance needs. Act as a liaison between technical teams and CA firm stakeholders to ensure effective communication and solution alignment. Provide expert guidance and hands-on support to end-users within CA firm environments. Conduct specialized training sessions focused on finance, accounting, and auditing practices relevant to CA firms. Continuously monitor system performance and recommend enhancements to meet evolving finance and auditing requirements. Qualifications: Bachelor s degree in Finance, Accounting, or a related field; MBA in Finance preferred. Minimum 2 years experience as a Functional Consultant, preferably within a CA firm or similar professional services environment. Strong knowledge of finance, accounting, and auditing principles and best practices. Deep understanding of regulatory and compliance standards relevant to CA firms. Excellent communication and interpersonal skills to engage with diverse stakeholders effectively. Proficiency in finance and accounting software widely used in CA firms. Location: Ahmedabad, India

Senior Software Engineer Frontend & Backend | .NET Core | React | Kubernetes | Ahmedabad Location: Ahmedabad Department: Software Engineering Reports To: Senior Manager, Software Engineering Experience: 5+ Years Tech Stack: HTML5, CSS3, JavaScript, React, C#, SQL, Docker, Kubernetes, Microservices About Conga At Conga, we ve built a community where our colleagues thrive by innovating, growing through individual and team development, and contributing to an inclusive environment where all voices are heard. We simplify the increasingly complex world of business with our revenue lifecycle management solution. By providing a unified data model, we transform the complexities of order configuration, execution, fulfillment, and contract renewal, helping businesses achieve operational efficiency and revenue growth. Our mission is to empower customers to deliver transformational revenue growth by aligning teams, processes, and technology to maximize customer lifetime value. Our approach is grounded in the Conga Way, a framework that guides our decisions, culture, and product development. Job Overview: Senior Software Engineer As a Senior Software Engineer at Conga, you will be pivotal in building next-generation Conga products. This role offers the opportunity to work across the full technology stack, from front-end to back-end, while collaborating with talented developers and cross-functional teams. We re looking for problem-solvers who thrive in a fast-paced, dynamic environment and are passionate about continuously learning new technologies. As part of the engineering team, your contributions will directly impact product development and the technical evolution of Conga s platform. You will play a key role in maintaining and improving both the front-end and back-end of our applications, ensuring that the products are scalable, secure, and performance-optimized. This position offers the chance to work on the latest technologies in a rewarding and dynamic environment. Key Responsibilities: Front-end Development: Develop dynamic and interactive user interfaces using HTML5, CSS3, JavaScript, and React.js. Back-end Development: Work with C#, SQL, and API design patterns to ensure seamless back-end functionality. Containerization & Cloud: Leverage Docker and Kubernetes for containerization and ensure smooth deployment pipelines. Microservices: Work with Microservices architecture to enhance scalability and maintainability. Collaboration Tools: Use tools like GitHub, Jira, and Microsoft Teams for version control and cross-team collaboration. Mentorship: Lead and mentor junior developers, ensuring high code quality, best practices, and the sharing of knowledge across the team. Qualifications: 5+ years of experience in front-end development using HTML5, CSS3, JavaScript, and React.js. Experience with container-based platforms like Docker and Kubernetes. Backend technologies experience in C#, SQL, and familiarity with API design patterns. A strong understanding of microservices and the ability to design scalable applications. Bachelor s degree in Engineering or a related field. Knowledge of source control tools like GitHub, and experience with Jira for project management. What Sets You Apart: Passionate Coder: Self-driven, proactive, and passionate about solving complex problems across various technologies. You focus on coding best practices and development processes. Effective Communicator: Strong interpersonal skills with the ability to initiate and engage in collaborative discussions, adapting to different communication styles. Creative Problem Solver: Analytical thinker capable of identifying creative solutions to complex business challenges, with a focus on delivering customer-centric results. Deadline-Driven: Proven ability to work independently, meet deadlines, and exceed goals with minimal supervision. What We Offer: An inclusive, collaborative culture that encourages professional growth. Opportunities to work with cutting-edge technologies like React, .NET Core, Kubernetes, and Microservices. A chance to solve complex problems that impact global customers. A dynamic and fast-paced work environment where you can thrive. Qualification : Bachelors degree in Engineering or a related field.

Sr. Software Engineer | AI & Cloud Technologies | Generative AI | NLP | Ahmedabad Location: Ahmedabad Reports to: Director, Software Engineering Experience: 5+ Years Tech Stack: Generative AI, NLP, Deep Learning, Cloud (AWS, Azure, GCP), Docker, Kubernetes, CI/CD About Conga At Conga, we are committed to creating a thriving environment where innovation, team growth, and open communication are at the heart of everything we do. We simplify complexity for our customers by aligning teams, processes, and technologies to deliver transformational revenue growth. Our mission is to optimize the Revenue Lifecycle Management process, helping businesses achieve sustainable growth and maximize customer lifetime value. Conga's approach to business is grounded in The Conga Way, a set of values shaped by direct input from our colleagues. Job Overview: Sr. Software Engineer - AI & Cloud Technologies As a Senior Software Engineer at Conga in Ahmedabad, you will play a critical role in building next-generation products focused on AI models, NLP, and cloud technologies. In this role, you ll serve as a subject matter expert in AI, building scalable systems that support Conga s Cloud Revenue Lifecycle Management platform. You will collaborate closely with cross-functional teams, ensuring your solutions meet business needs and drive the future of Conga's AI-powered products. Why It s a Big Deal Your contributions as a Senior Software Engineer will directly impact the development of scalable AI components and cloud-based solutions for Conga s product offerings. This role is ideal for someone passionate about building and deploying cutting-edge AI models, especially those utilizing Generative AI and NLP. You will have the chance to tackle complex challenges and create meaningful solutions that optimize critical business workflows for Conga s customers. Key Responsibilities: AI Model Development: Design, develop, and deploy Generative AI models, including Natural Language Processing (NLP) and Deep Learning models. Fine-tune LLMs (such as GPT-4, BERT, Llama) to meet specific business needs. AI Pipelines: Build and maintain RAG (Retrieval-Augmented Generation) pipelines, integrating external data with AI models to enhance document processing. Cloud & Deployment: Architect and deploy AI solutions within AWS or Azure cloud environments, leveraging Docker and Kubernetes for containerization and cloud deployment. Microservices Architecture: Design and develop reusable components, microservices, and APIs that enable seamless integration with other Conga products and platforms. Cross-functional Collaboration: Work closely with product managers, engineers, and stakeholders to translate business requirements into technical solutions. Communicate complex technical concepts effectively to all stakeholders. Agile Development: Participate in Agile sprints and collaborate with team members to ensure successful project delivery, from initial concept to deployment. Qualifications: 5+ years of experience in developing AI models, including NLP, Generative AI, and Deep Learning. Hands-on experience with LLMs such as GPT-4, BERT, Llama, with practical experience in fine-tuning and deploying these models for business use cases. Experience in building and maintaining RAG pipelines for enhancing document and data analysis capabilities. Proficiency with cloud technologies (AWS, Azure, GCP) and understanding of cloud architecture and cloud design patterns. Expertise in containerization tools (Docker, Kubernetes) and CI/CD pipelines. Strong knowledge of microservices and API development. Bachelor's degree in Engineering or related field (advanced degrees are a plus). What Will Give You an Edge: Effective Communication: You excel at initiating and driving discussions, translating complex AI solutions into actionable business value. Proactive & Entrepreneurial: You take the initiative to propose new projects that improve team performance and solve complex challenges. Passionate Problem Solver: Self-driven, you enjoy solving complex technical challenges and are dedicated to delivering high-quality, scalable solutions. Mentorship: You will be a mentor for junior engineers, helping them grow and fostering a collaborative, innovative environment. What We Offer: Dynamic and inclusive culture where innovation is encouraged and every voice matters. Opportunities to work with cutting-edge technologies like Generative AI, NLP, and Cloud computing. Agile development environment that values creativity and technical expertise. Collaborative work culture where you can contribute ideas and solve impactful business problems. Qualification : Bachelor's degree in Engineering or related field (advanced degrees are a plus).

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

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

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

Job Description We are looking for a highly skilled AI Engineer with expertise in Large Language Models (LLMs), machine learning, data engineering, and product development. The ideal candidate will drive the development of intelligent, scalable, and ethical AI solutions while leveraging cutting-edge technologies to solve complex challenges. Required Qualifications Expertise in LLMs, machine learning, and data engineering. Knowledge of transformer architectures and deep learning models like CNNs and RNNs. Strong in Python and JavaScript; familiarity with C++ and Java is a plus. Experience with TensorFlow, PyTorch, and Keras for AI model development. Proficient in building scalable data pipelines and performing data preprocessing. Familiarity with AWS, Google Cloud, or Azure for scalable deployments. Understanding of CI/CD practices for automating AI workflows. Awareness of AI ethics, including bias mitigation and fairness principles. Strong analytical and problem-solving skills with adaptability to new technologies. Roles and Responsibilities Develop and fine-tune LLMs for tasks like retrieval-augmented generation (RAG). Build and deploy machine learning models using frameworks like TensorFlow, PyTorch, and Keras. Create scalable data pipelines using Apache Spark, Hadoop, and SQL. Conduct data preprocessing, including cleaning, transformation, and feature engineering. Leverage agentic frameworks such as LangGraph, CrewAI, and AutoGen to design advanced AI workflows. Deploy AI models on cloud platforms (AWS, Google Cloud, Azure) and implement CI/CD practices. Develop generative models like GANs for synthetic data generation and analysis. Ensure ethical AI design by mitigating bias and promoting fairness. Troubleshoot and optimize AI systems for performance and scalability.

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

Job Title: Data 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: Customer Integration / API / EDI Analyst Role Overview: The role of Customer Integration / API / EDI Analyst is to support customers in integrating customer data systems with the ERP systems. This is done through supporting API integrations, configuring and maintaining customer/partner EDI communications, and providing other integration data as needed. The Customer Integration team works directly with customers, third-party integrators, and internal departments. Key Responsibilities Provide integration support for the Vendor s API, validating proper setup and use when applicable. Analyse, design, and develop customer EDI integrations; including communication setup, map editing, and business rule processes. Attend team meetings as an active participant providing input on current issues/tasks and feedback on completed items. Communicate effectively with team members, end users, and customers. Monitor for errors within EDI Package (ARCESB Integration or Manual EDI Process). Work with customers on data integrity issues. Document processes and process changes. Act as a liaison between internal customers and external customers, researching and providing answers to data questions. Escalate items to management or software developers as needed. Minimum Qualifications A.S. (Associate Science) in Information Technologies (2021 or earlier graduation), 2 years of experience with EDI data, or 2 years of SQL/Database experience. Understanding of database structure and ability to query database elements for research. Ability to work in both a team environment and independently. Time Management skills. Analytical skills, the ability to solve problems that may come up during a typical work day. Strong written and verbal communication skills. Strong interpersonal skills with end users, customers, and management. Ability to communicate IT terminology to someone who does not understand technical terms. Fluent in English. Preferred Qualifications Understanding of structured data such as XML/JSON. Understanding of Web Services/API s (SOAP/REST). Database fundamentals including querying and updating tables using SQL. EDI Translation Software Information. ARCESB B2B Integrator. Transaction Sets: 810 (Invoice), 846 (Inventory Advice), 850 (Purchase Order), 855 (Purchase Order ACK), 856 (Advance Ship Notice).

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.

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: Lead Generation & Sales Job Summary: We are looking for an experienced professional to drive lead generation, sales, and business development efforts at Rysun. This role will focus on meeting revenue goals, building strong client relationships, and managing the sales pipeline while executing strategies for growth in the ICT services domain. Key Responsibilities: Lead Generation & Sales: Revenue goals: Achieve US$ 2 million in revenue within one year. Lead generation: Generate leads through various channels like networking, cold calling, attending industry events, and following up on marketing qualified leads (MQLs). Client relationship building: Build strong relationships with potential and existing clients by understanding their needs and proposing solutions that address them. Sales pipeline management: Manage the sales pipeline by nurturing leads, qualifying them, and moving them through the sales cycle. Proposal development: Craft proposals and presentations that showcase the company s value proposition to potential clients. Sales strategy: Develop and implement a sales strategy to achieve or exceed pre-defined sales targets for ICT services in the defined region. Strategy & Planning: Develop growth plans: Create and implement strategies to achieve business development goals focused on revenue growth and market expansion. Market research: Research target markets, competitor activity, and emerging trends in the industry. Identify opportunities: Actively seek out new business opportunities, such as new markets, customer segments, partnerships, or service offerings. Partnering & Collaboration: Develop partnerships: Identify and establish strategic partnerships with businesses to expand reach, access new markets, or offer complementary solutions. Focus on partnerships with hyper scalers like Azure, AWS, and Google in defined geography. Internal collaboration: Collaborate with various internal departments like marketing, sales, presales/business analysis, technical delivery teams, and finance teams to ensure a cohesive approach to business development. What to sell & Whom to sell: What to sell: Primary focus on selling Data Analytics, AI, Product Engineering, Cloud Services, Managed Services, Technology Consulting, and Digital Transformation projects. Whom to sell: Target Small to Medium businesses and large enterprises requiring Rysun s technology services. Focus industries include Retail and Hitech. Reporting & Analysis: Track and report on performance: Track key metrics like the number of leads generated, conversion rates, and revenue from new clients. Participate in weekly, monthly, and quarterly review meetings. Analyze data and trends: Analyze data and market trends to identify areas for improvement and inform future business development strategies. Additional Responsibilities: Stay up to date: Continuously update knowledge about industry trends, competitor offerings, and company products/services. Presentations and pitches as required. Travel: International travel may be required. If you're driven by achieving sales targets, building lasting relationships, and working in a dynamic team environment, this is the perfect opportunity to make an impact! Qualification : Any Graduate

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

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