Pratham Software

Data Engineer with Informatica ETL tools experienceWork Location is Bangalore Basic (Must Have): * Experience on Informatica * Experience in Informatica Cloud Services (IICS CDI or IDMC platform) * Unix shell scripting & Python * Write complex and efficient SQL for data extraction, transformation, and loading (ETL), including development of optimized views and queries to support reporting needs * Good knowledge of Dimensional Data Modeling like Star and Snowflake schemas Preferred Skills: * SQL Server * Oracle * Working knowledge of Jupyter Notebooks, Databricks, ADLS Gen 2 and SQL Datawarehouse * Experience with variety of source systems like Cloud (SFDC, Marketo, Azure, AWS etc) * Working knowledge in Change Data Capture and Slowly Changing Dimension Type 1 & 2 Any Other: * Strong problem-solving skills, attention to detail, and a focus on delivering actionable insights through data visualization * Understanding of agile methodologies and experience working with tools like JIRA for project management * Good Communication Skills

Data Engineer with Informatica ETL tools experience Basic (Must Have): • Experience on Informatica • Experience in Informatica Cloud Services (IICS CDI or IDMC platform) • Unix shell scripting & Python • Write complex and efficient SQL for data extraction, transformation, and loading (ETL), including development of optimized views and queries to support reporting needs. • Good knowledge of Dimensional Data Modeling like Star and Snowflake schemas Preferred Skills: • SQL Server • Oracle • Working knowledge of Jupyter Notebooks, Databricks, ADLS Gen 2 and SQL Datawarehouse • Experience with variety of source systems like Cloud (SFDC, Marketo, Azure, AWS etc.) • Working knowledge in Change Data Capture and Slowly Changing Dimension Type 1 & 2 Any Other: • Strong problem-solving skills, attention to detail, and a focus on delivering actionable insights through data visualization. • Understanding of agile methodologies and experience working with tools like JIRA for project management. • Good Communication Skills

Data Engineer/Analyst Location- Jaipur/Indore Notice- Immediate joiners only Basic Responsibilities (Must-Haves): 5+ years of experience in dashboard story development, dashboard creation, and data engineering pipelines . Hands-on experience with log analytics, user engagement metrics, and product performance metrics . Ability to identify patterns, trends, and anomalies in log data to generate actionable insights for product enhancements and feature optimization . Collaborate with cross-functional teams to gather business requirements and translate them into functional and technical specifications. Manage and organize large volumes of application log data using Google Big Query . Design and develop interactive dashboards to visualize key metrics and insights using any of the tool like Tableau Power BI , or ThoughtSpot AI . Create intuitive, impactful visualizations to communicate findings to teams including customer success and leadership. Ensure data integrity, consistency, and accessibility for analytical purposes. Analyse application logs to extract metrics and statistics related to product performance, customer behaviour, and user sentiment . Work closely with product teams to understand log data generated by Python-based applications . Collaborate with stakeholders to define key performance indicators (KPIs) and success metrics. Can optimize data pipelines and storage in Big Query . Strong communication and teamwork skills . Ability to learn quickly and adapt to new technologies. Excellent problem-solving skills . Preferred Responsibilities (Nice-to-Haves): Knowledge of Generative AI (GenAI) and LLM-based solutions . Experience in designing and developing dashboards using ThoughtSpot AI . Good exposure to Google Cloud Platform (GCP) . Data engineering experience with modern data warehouse architectures . Additional Responsibilities: Participate in the development of proof-of-concepts (POCs) and pilot projects. Ability to articulate ideas and points of view clearly to the team. Take ownership of data analytics and data engineering solutions . Additional Nice-to-Haves: Experience working with large datasets and distributed data processing tools such as Apache Spark or Hadoop . Familiarity with Agile development methodologies and version control systems like Git . Familiarity with ETL tools such as Informatica or Azure Data Factory

Sr Automation Eng- QATExp: 4-7 YearsBasic (Must Have): Having worked on 1 or more backend languages like Java, C#, etc Knowledge of tools, concepts and methodologies of testing (Unit, Functional Testing, Component Testing, Integration Testing) and where each one applies. Exposure to any open source testing tools like TestNG, Cucumber, Appium, Selenium Webdriver, etc. Must understand the fundamentals of Automation frameworks and how they fit into the quality infrastructure and deployment pipelines. Work experience and knowledge of architectures involving databases (SQL, NoSQL) , Message Queues and Caching technologies. Familiar with SDLC/STLC or Agile processes. Aptitude for functional testing and ensuring a high-quality user experience for products. Aptitude for understanding and reviewing the system design & architecture, to come up with effective automation coverage. Must be able to debug logs, troubleshoot databases, aptitude for operations principles and comfortable interacting with SRE & DevOps teams. Passion to identify test coverage gaps in an automated suite and improvise. Be a Go-To person in the team and be able to guide and develop junior SDETs technically. Hands-on experience in mobile app automation is a plus Maintain, setup, design, and configure software test environments Excellent Communication Testing/Automating APIs (Rest Assured, Swagger, API Fortress, Postman, Appium etc.) Defect TrackingGood to have Skills: Experience with multi-environment structured Test Data setup and management. Exposure to Continuous Deployment pipelines Knowledge of docker, and implementing the automation tests in dockerized containers in a Kubernetes environment Certification like ISTQB, CSTE etc. will be a plus Security and Pen testing is a plus Mobile Testing is a plus SQL Knowledge Load Performance testing is a plus Exposure to BDD and Cucumber is a plusKey Responsibilities: Primarily responsibility for performing functional (Manual) testing. Develop automation scripts & Framework Building reusable components and libraries Coach and mentor less experienced team members Work with Scrum Team to prioritize tasks and ensure deadlines are met Automation scripting, development of test frameworks and platforms Reviewing acceptance criteria (ie behaviours) for accuracy, clarity and completeness Preparing RTM Build reusable code and libraries for future use Independent contributor Collaborate with development team and stakeholders Client Communication

AI/ML Associate Architect Basic Skills ( Must-Haves): 8+ years of experience in Designing and architecting solutions with artifacts and technical documents using LLM, Generative AI, RAG, and Agentic AI applications. Strong understanding of LLM, Generative AI, RAG, and Agentic AI applications. Creating detailed technical designs and documentation that accurately reflect the proposed solution and its components. Developing and implementing various types of solutions using programming languages such as Python, .Net , Java etc. Working with data scientists, engineers, and other stakeholders to understand and implement machine learning algorithms such as regression, classification, and clustering. Also design and implement machine learning models and algorithms. Excellent problem-solving skills and ability to think critically about complex systems. Experience working with cloud platforms such as Azure Cloud or AWS Cloud. Preferred Responsibilities (Nice-to-Haves): Possessing a certificate in ML (Machine Learning) and an Architect Certificate in Azure Cloud or AWS Cloud. Provide training and support to internal stakeholders on AI technologies and solutions Strong communication and collaboration skills, with the ability to work effectively in a team environment. Any Other: Experience working with large datasets and data processing tools, such as Spark or Hadoop. Familiarity with Agile development methodologies and version control systems, such as Git. Strong leadership, communication, and teamwork skills. Ability to learn quickly and adapt to new technologies. Key Responsibilities: Participate in the development of proof-of-concepts (POCs) and pilot projects to demonstrate AI-powered solutions Collaborate with sales teams to identify new business opportunities and develop go-to-market strategies Collaborating with cross-functional teams to understand business requirements and translate them into technical specifications. Leading teams on the latest AI tools and solutions, mentoring junior architects and developers, and providing guidance on best practices

Sr Automation Eng- QAT Exp: 4-7 Years Basic (Must Have): • Having worked on 1 or more backend languages like Java, C#, etc • Knowledge of tools, concepts and methodologies of testing (Unit, Functional Testing, Component Testing, Integration Testing) and where each one applies. • Exposure to any open source testing tools like TestNG, Cucumber, Appium, Selenium Webdriver, etc. • Must understand the fundamentals of Automation frameworks and how they fit into the quality infrastructure and deployment pipelines. • Work experience and knowledge of architectures involving databases (SQL, NoSQL) , Message Queues and Caching technologies. • Familiar with SDLC/STLC or Agile processes. • Aptitude for functional testing and ensuring a high-quality user experience for products. • Aptitude for understanding and reviewing the system design & architecture, to come up with effective automation coverage. • Must be able to debug logs, troubleshoot databases, aptitude for operations principles and comfortable interacting with SRE & DevOps teams. • Passion to identify test coverage gaps in an automated suite and improvise. • Be a Go-To person in the team and be able to guide and develop junior SDETs technically. • Hands-on experience in mobile app automation is a plus • Maintain, setup, design, and configure software test environments • Excellent Communication • Testing/Automating APIs (Rest Assured, Swagger, API Fortress, Postman, Appium etc.) • Defect Tracking

Senior Business Analyst Basic Skills (Must Have): Strong experience in requirement elicitation and documenting business and functional requirements Hands-on experience with tools like JIRA, Confluence, Azure DevOps Ability to create BRDs, User Stories, Process Flows, and Wireframes Strong stakeholder management and communication skills Deep understanding of Agile methodologies & Scrum frameworks Experience in Backlog Grooming, Estimation, and Agile ceremonies Familiarity with SQL and advanced Excel for data analysis Exposure to AI/ML-driven solutions or products Strong problem-solving and critical thinking abilities Ability to manage multiple priorities and work in fast-paced environments Preferred Skills (Good to Have): Scrum Master Certification (CSM, PSM) Business Analytics certifications (CBAP, CCBA, PMI-PBA) Experience with wireframing/prototyping tools (e.g., Figma, Balsamiq) Exposure to BI/Analytics tools like Power BI or Tableau Familiarity with cloud platforms (e.g., AWS, Azure) Experience with API integrations and data migration projects Domain knowledge in industries such as finance, healthcare, or retail Experience working on AI/ML initiatives or with data science teams Understanding of data flow and structure in AI systems (structured/unstructured) Basic understanding of AI concepts (e.g., recommendation engines, NLP) Awareness of ethical AI considerations and data privacy best practices Any Other: Bachelor's degree in Computer Science, MCA, or related technical field Excellent interpersonal skills and customer-centric attitude Ownership mindset with leadership and mentoring skills; strong team player Flexible, adaptable, and quick learner of new domains and tools Passion for emerging technologies like AI, ML, RPA, and automation Key Responsibilities: Act as a liaison between customers, stakeholders, and technical teams Elicit, document, and manage business and functional requirements Prepare clear documentation (BRDs, user stories, use cases) Break down requirements into epics, user stories, and tasks Analyse current and future state processes; identify improvement opportunities Drive project planning, risk assessment, and effort estimation Collaborate with development, QA, and product teams for smooth delivery Assist in UAT planning and execution Participate in change management, training, and communication planning Work with data science/AI teams to translate business needs into AI/ML use cases Contribute to identifying AI opportunities across internal and customer-facing processes

AI Senior EngineerAbout the Role:We are looking for a highly capable AI Lead Engineer to contribute to the design and delivery of intelligent, scalable AI solutions This role focuses on building production-grade systems involving LLMs, vector databases, agent-based workflows, and Retrieval-Augmented Generation (RAG) architectures on the cloud The ideal candidate should demonstrate strong problem-solving abilities, hands-on technical skills, and the ability to align AI design with real-world business needs Must-Have Skills Strong coding ability in Python and proficiency in SQL Hands-on experience with vector databases (e g , Pinecone, FAISS, Weaviate) Practical experience with LLMs (OpenAI, Claude, Gemini, etc ) in real-world workflows Familiarity with LangChain, LlamaIndex, or similar orchestration tools Proven track record in delivering scalable AI systems on public cloud (Azure, AWS, or GCP) Experience building and optimizing RAG pipelines Solid understanding of server less/cloud-native architecture and event-driven design Integrate/expose the ai solution in applications using fastapi,flask,djangoPreferred or Good to Have Skills Exposure to agentic AI patterns and multi-agent coordination Knowledge of AI system safety practices (e g , hallucination filtering, grounding) Experience with MLOps tools (MLflow, KubeFlow) and CI/CD for ML Understanding of concept/data drift and retraining strategies in production Experience working on AI projects involving classification, regression, and clustering models Prior work on multi-modal AI pipelines (vision + language) Familiarity with real-time inference tuning (batching, concurrency) Demonstrated ability to deliver a variety of AI solutions in production environments across domains Any Other: Bachelor s or Master s degree in Computer Science, Data Science, AI/ML, or related field Strong analytical mindset with a clear focus on business-aligned AI delivery Excellent verbal and written communication skills Key Responsibilities Collaborate with the Solution Architect to design agentic AI systems (e g , ReAct, CodeAct, Self-Reflective Agents) Build and deploy scalable RAG pipelines using vector databases and embedding models Integrate modern AI tools (e g , LangChain, LlamaIndex, Kagi, Search APIs) into solution workflows Optimize inference performance for cloud and edge environments Contribute to the development of feedback loops, drift detection, and self-healing AI systems Deploy, monitor, and manage AI solutions on cloud platforms (Azure, AWS, or GCP) Translate business use cases into robust technical solutions in collaboration with cross-functional teams

Data Engineer + AIJob Summary:We are looking for a skilled and versatile Data Engineer with expertise in PySpark, Apache Spark, and Databricks, along with experience in analytics, data modeling, and Generative AI/Agentic AI solutions This role is ideal for someone who thrives at the intersection of data engineering, AI systems, and business insights contributing to high-impact programs with clients Required Skills & Experience: Advanced proficiency in PySpark, Apache Spark, and Databricks for batch and streaming data pipelines Strong experience with SQL for data analysis, transformation, and modeling Expertise in data visualization and dashboarding tools (Power BI, Tableau, Looker) Solid understanding of data warehouse design, relational databases (PostgreSQL, Snowflake, SQL Server), and data lakehouse architectures Exposure to Generative AI, RAG, embedding models, and vector databases (e g , FAISS, Pinecone, ChromaDB) Experience with Agentic AI frameworks: LangChain, Haystack, CrewAI, or similar Familiarity with cloud services for data and AI (Azure, AWS, or GCP) Excellent problem-solving and collaboration skills with an ability to bridge engineering and business needs Preferred Skills: Experience with MLflow, Delta Live Tables, or other Databricks-native AI tools Understanding of prompt engineering, LLM deployment, and multi-agent orchestration Knowledge of CI/CD, Git, Docker, and DevOps pipelines Awareness of Responsible AI, data privacy regulations, and enterprise data compliance Background in consulting, enterprise analytics, or AI/ML product development Key Responsibilities: Design, build, and optimize distributed data pipelines using PySpark, Apache Spark, and Databricks to support both analytics and AI workloads Support RAG pipelines, embedding generation, and data pre-processing for LLM applications Create and maintain interactive dashboards and BI reports using Power BI, Tableau, or Looker for business stakeholders and consultants Conduct adhoc data analysis to drive data-driven decision making and enable rapid insight generation Develop and maintain robust data warehouse schemas, star/snowflake models, and support data lake architecture Integrate with and support LLM agent frameworks such as LangChain, LlamaIndex, Haystack, or CrewAIfor intelligent workflow automation Ensure data pipeline monitoring, cost optimization, and scalability in cloud environments (Azure/AWS/GCP) Collaborate with cross-functional teams including AI scientists, analysts, and business teams to drive use-case delivery Maintain strong data governance, lineage, and metadata management practices using tools like Azure Purview or DataHub

Sales Executive - Digging Basic (Must Have):1. Average communication skills(Verbally/Writing)2. Strong Basic Computer and Internet surfingskills.3. Good IT services/Industry exposure Preferred Skills:1. Graduate (B.com, BA, BBA, BCA, BSc, etc.) fromany discipline2. Having a master s degree would be Add-on.3. Minimum 1 Year of working experience.4. Good grasp of Excel/Word/Outlook. Key Responsibilities: The person should have the ability to learn IT basic concepts and the PSI offerings. After training, the Person should be able to understand other companies websites and able to draw basic inferences like their offerings and mapping with PSI offerings. Working on social media after training from the sales manager. A person should be able to support respective Sales Managers in PSI for their demand generation endeavors.5. Doing deep online research (Websites / LinkedIn / DatabasePortals) and identifying the right suspects/prospects for PSI.6. After identification find professional email ID s ofcontacts from the prospect/target company. The task will also include finding all otherrelated demographic information of the prospect/target company.7. Mapping of prospect/target Company with PSI service offeringsand focus areas.8. Scouting for similar suspects on social media likeLinkedIn/etc.9. Building database list and also sanitization of currentdatabase too.10. To differentiate between qualified and disqualified records.11. Responsible for managing database building team and qualityassurance on daily recorded data.12. Responsible to provide ongoing training to the database buildingteam.

Python Full Stack Developer with AIJob Summary:We are looking for a highly skilled and motivated Full Stack Developer with strong expertise in Python, React js, and SQL, to join our fast-paced development team The ideal candidate will have experience building scalable web applications and a strong interest or background in AI/ML-driven applications You will play a crucial role in delivering intelligent solutions for enterprise clients and top-tier consulting partners Required Skills & Experience: Strong Python development skills with experience in Django, Flask, or FastAPI React js, Redux, and front-end technologies (JavaScript, HTML5, CSS3) Solid SQL skills with databases like PosgreSQL, MySQL, or MS SQL Server Experience working with RESTful APIs, JSON, and asynchronous programming Understanding of version control systems (preferably Git) Experience in writing unit and integration tests Familiarity with Agile development and DevOps culture Strong problem-solving skills, ownership mindset, and collaborative attitude Preferred / Bonus Skills: Experience with AI/ML frameworks (e g, TensorFlow, PyTorch, scikit-learn) Knowledge of data pipelines, model inference, and model deployment strategies Hands-on with cloud platforms like AWS, Azure, or GCP Familiarity with containerization (Docker) and orchestration (Kubernetes) Exposure to CI/CD pipelines and automated deployment tools Prior experience in consulting environments or delivering solutions for enterprise clients Key Responsibilities: Design, develop, and maintain robust, scalable web applications using Python (Django/Flask/FastAPI) Build responsive and intuitive frontends using React js and modern JavaScript frameworks Collaborate with cross-functional teams including data scientists, designers, and consultants to integrate AI/ML models into applications Optimize front-end and back-end components for performance, scalability, and maintainability Build RESTful APIs and integrate with third-party APIs and data services Contribute to architecture discussions, participate in code reviews, and maintain code quality Support AI/ML model deployment workflows and data pipeline integration Keep up with emerging technologies, especially in AI/ML, cloud computing, and web development Experience of using AI Tools for efficiency gain in codingEducation: Bachelor s degree in Computer Science, Engineering, or a related technical discipline (or equivalent practical experience)