We are looking for a dynamic and experienced Engagement Manager to lead and manage client relationships and deliver strategic consulting solutions. The ideal candidate will have 8-10 years of experience in consulting and possess strong leadership, client management, and problem-solving skills. This role requires a keen understanding of business challenges, the ability to manage multiple stakeholder expectations, and a proven track record of successful project execution. Job Responsibilities: Client Relationship Management : Act as the primary point of contact for senior client stakeholders, establishing and maintaining long-term relationships. Understand client business goals, challenges, and requirements, ensuring that consulting solutions are tailored to meet their needs. Project Delivery : Lead the delivery of strategic consulting engagements across various industries. Oversee the execution of multiple projects simultaneously, ensuring timely and quality delivery. Ensure that all deliverables meet client expectations and standards. Team Leadership and Mentorship : Manage a team of consultants and junior staff, providing coaching, mentorship, and development opportunities. Foster a collaborative and high-performance team culture to achieve engagement goals. Strategic Insights and Problem Solving: Provide actionable insights and recommendations based on data analysis and market trends. Proactively identify client challenges and develop innovative strategies to drive business improvement. Stakeholder Management : Collaborate with internal and external stakeholders to ensure alignment of project objectives and deliverables. Effectively communicate with senior leadership and clients to report progress and manage expectations. BusinessDevelopment: Support the business development team in identifying opportunities for additional services with existing clients. Assist in proposal development, pricing, and contract negotiations to win new business. ChangeManagement: Lead clients through periods of transformation and change, guiding them through organizational and operational shifts while maintaining business continuity. Budget and Financial Management : Manage engagement budgets and resources efficiently. Ensure profitability of projects while maintaining quality standards and timelines. Qualification and Skills: MBA from a Tier 2 or Tier 3 college. Strong academic performance is preferred. 8-10 years of consulting experience with a demonstrated track record of successfully managing and delivering complex projects in a client-facing role. Experience across a wide range of industries (eg, financial services, technology, healthcare, retail, etc) is a plus. Deep understanding of consulting methodologies and frameworks. Proven leadership abilities with experience in managing teams, guiding junior consultants, and driving projects to successful completion. Strong client-facing skills with the ability to engage with senior executives and understand client needs, challenges, and objectives. Exceptional problem-solving abilities and the capacity to analyze complex issues and develop practical solutions. Excellent verbal and written communication skills with the ability to clearly convey complex concepts to diverse audiences. Strong organizational and project management skills, with the ability to handle multiple priorities, resources, and timelines effectively. Strong understanding of business strategy, operations, and financial performance metrics Why join Exponentia: Expand your knowledge and work with cutting-edge technologies. Opportunity to work with some of the best minds and collaborate with them. Learn from Industry experts. Get Certified with latest technologies and platforms. Get access to networks of OEM partners and business leaders who are setting new standards at the cutting-edge of technology.

As a Data Engineer, you will be responsible for managing and optimizing data pipelines, implementing ETL processes, and ensuring data is clean, accurate, and available for analysis. You will work with cross-functional teams to deliver high-quality data infrastructure and analytics solutions. Responsibilities: Design, implement, and manage ETL pipelines to ingest and process data from multiple sources. Develop and maintain data warehouses and data lakes for efficient storage and querying. Write optimized SQL queries for data extraction, transformation, and analysis. Collaborate with Data Analysts, Data Scientists, and other stakeholders to ensure data availability and usability. Perform data quality checks and troubleshooting to ensure high-quality, reliable data. Work with cloud platforms such as AWS, Azure, or GCP to deploy and maintain data solutions. Automate and monitor ETL workflows for maximum efficiency and scalability. Assist in the development and optimization of data models and database architectures. Ensure compliance with data governance and security best practices. Stay up-to-date with the latest trends in data engineering, cloud technologies, and big data. Required Skills & Qualifications: 4 to 6 years of experience in Data Engineering or a related field. Strong proficiency in Python for data manipulation and automation. Hands-on experience with SQL for querying, transforming, and analyzing data. Solid experience with ETL processes and tools (eg, Apache Airflow, Talend, Informatica). Experience with cloud platforms such as AWS (eg, Redshift, S3, Lambda) or Azure (eg, Azure Data Factory, Azure SQL Database). Strong understanding of data warehousing and big data concepts. Familiarity with version control systems like Git. Good understanding of data modeling and database design principles. Ability to work independently and in a team-oriented, collaborative environment. Strong problem-solving skills with the ability to troubleshoot and resolve data issues.

We are looking for a dynamic and experienced Engagement Manager to lead and manage client relationships and deliver strategic consulting solutions. The ideal candidate will have 8-10 years of experience in consulting and possess strong leadership, client management, and problem-solving skills. This role requires a keen understanding of business challenges, the ability to manage multiple stakeholder expectations, and a proven track record of successful project execution. Job Responsibilities: Client Relationship Management : Act as the primary point of contact for senior client stakeholders, establishing and maintaining long-term relationships. Understand client business goals, challenges, and requirements, ensuring that consulting solutions are tailored to meet their needs. Project Delivery : Lead the delivery of strategic consulting engagements across various industries. Oversee the execution of multiple projects simultaneously, ensuring timely and quality delivery. Ensure that all deliverables meet client expectations and standards. Team Leadership and Mentorship : Manage a team of consultants and junior staff, providing coaching, mentorship, and development opportunities. Foster a collaborative and high-performance team culture to achieve engagement goals. Strategic Insights and Problem Solving: Provide actionable insights and recommendations based on data analysis and market trends. Proactively identify client challenges and develop innovative strategies to drive business improvement. Stakeholder Management : Collaborate with internal and external stakeholders to ensure alignment of project objectives and deliverables. Effectively communicate with senior leadership and clients to report progress and manage expectations. BusinessDevelopment: Support the business development team in identifying opportunities for additional services with existing clients. Assist in proposal development, pricing, and contract negotiations to win new business. ChangeManagement: Lead clients through periods of transformation and change, guiding them through organizational and operational shifts while maintaining business continuity. Budget and Financial Management : Manage engagement budgets and resources efficiently. Ensure profitability of projects while maintaining quality standards and timelines. Qualification and Skills: MBA from a Tier 2 or Tier 3 college. Strong academic performance is preferred. 8-10 years of consulting experience with a demonstrated track record of successfully managing and delivering complex projects in a client-facing role. Experience across a wide range of industries (eg, financial services, technology, healthcare, retail, etc) is a plus. Deep understanding of consulting methodologies and frameworks. Proven leadership abilities with experience in managing teams, guiding junior consultants, and driving projects to successful completion. Strong client-facing skills with the ability to engage with senior executives and understand client needs, challenges, and objectives. Exceptional problem-solving abilities and the capacity to analyze complex issues and develop practical solutions. Excellent verbal and written communication skills with the ability to clearly convey complex concepts to diverse audiences. Strong organizational and project management skills, with the ability to handle multiple priorities, resources, and timelines effectively. Strong understanding of business strategy, operations, and financial performance metrics Why join Exponentia: Expand your knowledge and work with cutting-edge technologies. Opportunity to work with some of the best minds and collaborate with them. Learn from Industry experts. Get Certified with latest technologies and platforms. Get access to networks of OEM partners and business leaders who are setting new standards at the cutting-edge of technology.

We are seeking a motivated and detail-oriented ETL Developer with 0-1 year of experience to join our team. If you are passionate about data engineering, cloud technologies, and want to work in an innovative environment. Job Responsibilities: Design, develop, and implement ETL processes for extracting, transforming, and loading data from various sources to target systems. Work with cloud-based data platforms, including Azure or AWS, to manage data pipelines and workflows. Leverage tools like Databricks, Fabric, and PySpark to build scalable data integration solutions. must be SQL Certified Write optimized SQL queries for data extraction, transformation, and analysis. Collaborate with cross-functional teams to gather requirements and deliver data solutions that meet business needs. Perform unit testing and troubleshooting of ETL processes to ensure data integrity and accuracy. Monitor and optimize ETL workflows for performance improvements. Stay up-to-date with industry best practices and emerging technologies in data engineering. Requirements: bachelors degree in Computer Science, Information Technology, Engineering, or a related field. 0-1 year of hands-on experience working in data engineering or ETL development. Familiarity with cloud platforms such as Azure or AWS . Knowledge of data integration tools like Databricks , Fabric , or similar. Strong programming skills in PySpark and Python . Proficiency in writing efficient and optimized SQL queries for data manipulation and reporting. SQL Certified Understanding of ETL processes, data pipelines, and data warehousing concepts. Basic knowledge of data modeling and data transformation techniques. Certification in cloud technologies or data-related platforms (Azure, AWS, Databricks, etc) is a plus.

We are looking for a highly skilled and detail-oriented Pre-Sales Analyst to support our sales team and customers in the presales process. The ideal candidate will have strong analytical skills, a deep understanding of our products and services, and a passion for helping customers understand how our solutions meet their business needs. This position requires a collaborative individual who can work closely with both the sales and technical teams to ensure successful client engagements. Key Responsibilities: Market Research and Analysis Conduct detailed research on target industries, competitors, and market trends. Identify potential customers and new business opportunities based on research and list provided by sales team. Prepare market intelligence reports and share actionable insights. Lead Generation and Prospecting Assist in identifying, qualifying, and nurturing leads. Manage CRM systems to ensure accurate and up-to-date information. Support outreach campaigns via email, LinkedIn, and other channels. Sales Support Prepare pitch decks, presentations, and proposals tailored to client needs. Collaborate with cross-functional teams to gather technical and commercial inputs. Draft and manage RFPs and RFIs in alignment with client requirements. Admin support & Reporting Maintain and analyze sales data to track performance and opportunities. Prepare weekly, monthly, and quarterly sales reports for the senior team. Create dashboards to highlight KPIs and progress toward goals. Meeting and Follow-Up Support Schedule and coordinate client meetings, both virtual and in-person. Document meeting minutes, action points, and follow-ups. Ensure timely follow-up on action items and client requests. Client Relationship Management support to Sales team Assist in maintaining relationships with existing clients to uncover upsell or cross-sell opportunities. Act as a point of contact for resolving queries or escalations. Sales Strategy and Planning support Support in designing account plans and go-to-market strategies. Conduct SWOT analyses to identify strengths and mitigate risks. Provide innovative ideas to enhance the sales approach. Collaboration with Internal Teams at offshore Work closely with marketing to create campaigns and materials. Liaise with delivery teams to ensure smooth handovers post-sale. Coordinate with finance and legal teams to manage contracts and pricing. Administrative Tasks Manage calendars and travel arrangements for senior sales members. Assist with expense reporting and budget management. Organize and maintain documents, contracts, and presentations. Learning and Development Stay updated with industry trends and sales methodologies. Attend workshops, seminars, or training sessions to upskill. Shadow senior team members during sales cycles to gain experience

As a Tester with strong expertise in ETL, database, and application/dashboard, familiar with AWS PLatformand should have a solid background in testing methodologies and tools, with a focus on data integrity and quality assurance in ETL processes. Key Responsibilities: ETL Testing: Develop and execute test cases for ETL processes to ensure data is accurately transformed and loaded. Validate data integrity and accuracy across various data sources and targets. Database Testing: Perform database testing using SQL to verify data consistency, integrity, and accuracy. Design and execute SQL queries to validate data and conduct backend testing. Application/Dashboard Testing: Collaborate with development teams to ensure application features meet specifications. Test dashboards and reports for accuracy and usability, ensuring that end-user requirements are met. Test Planning and Documentation: Create and maintain comprehensive test plans, test cases, and test scripts. Document defects, track progress, and report on testing activities. Collaboration: Work closely with cross-functional teams, including developers, data engineers, and business analysts. Participate in requirements gathering and design discussions to provide input on testability. Automation: Identify opportunities for automation in testing processes and contribute to automation efforts where applicable. Technical Skills: Strong knowledge of ETL tools. Familiar with AWS Platform. Proficiency in SQL and experience with relational databases (eg, Oracle, SQL Server, MySQL). Familiarity with testing tools (eg, JIRA, Selenium, TestRail). Analytical Skills: Excellent problem-solving skills with a keen attention to detail. Ability to analyze complex data sets and identify issues. Communication Skills: Strong verbal and written communication skills. Ability to effectively collaborate with technical and non-technical stakeholders.

As a Customer Success Manager at Exponentia.ai, you will play a pivotal role in ensuring customer satisfaction and long-term success across the UK and European markets. You will act as the primary point of contact for our clients, helping them leverage our data, AI, and cloud solutions to achieve their business objectives. This role requires close collaboration with cross-functional teams, including data scientists, engineers, and sales, to deliver seamless and impactful solutions. Job Responsibilities: Develop and expand client relationships across the UK and European markets. Responsible for conceptualizing and building business cases in AI and data intelligence (AI + Data + Cloud). Ensure high client satisfaction rates through effective engagement management (driven by the tech team). Coordinate projects with delivery teams and stakeholders, ensuring seamless project governance. Represent Exponentia.ai at industry events, driving brand awareness and managing revenue targets. Work closely with the leadership team to develop account plans and strategies for enhancing client relationships. Conceptualize and deliver business solutions, providing customized presentations articulating progressive value propositions to executive-level audiences. Deep dive into ongoing projects, addressing and resolving challenges as they arise. Collaborate with the pre-sales team to build proposals, develop point-of-view decks, and present them to client stakeholders. Conduct regular client engagements and workshops, acting as the single point of contact for both clients and the Exponentia team for assigned accounts. Required Skills: 2-5 years of experience in customer success, account management, or a related field. Experience with data analytics, AI/ML concepts, and cloud platforms (AWS or Azure) is required. Proven ability to engage with senior leadership (VP, Director, or C-level) in enterprise environments. Strong analytical and problem-solving skills, with a customer-centric approach to issue resolution. Ability to prioritize tasks, adapt quickly to change, and excel in a fast-paced environment. Comfortable working with diverse clients across industries, tailoring strategies to their specific needs. Excellent verbal and written communication skills, capable of translating complex technical concepts for non-technical audiences. Relevant certifications in AWS, Azure, data analytics, or AI/ML are a plus. Education/Qualification: MBA from Tier I/II institute. Why join Exponentia: Expand your knowledge and work with cutting-edge technologies. Opportunity to work with some of the best minds and collaborate with them. Learn from Industry experts. Get Certified with latest technologies and platforms. Get access to networks of OEM partners and business leaders who are setting new standards at the cutting-edge of technology. Exponentia.ai is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees.

As a Customer Success Manager at Exponentia.ai, you will play a pivotal role in ensuring customer satisfaction and long-term success across the UK and European markets. You will act as the primary point of contact for our clients, helping them leverage our data, AI, and cloud solutions to achieve their business objectives. This role requires close collaboration with cross-functional teams, including data scientists, engineers, and sales, to deliver seamless and impactful solutions. Job Responsibilities: Develop and nurture client relationships, ensuring long-term partnerships across the US. Drive account expansion by identifying growth opportunities and building AI and data intelligence business cases. Manage client satisfaction and engagement, ensuring seamless delivery of AI + Data + Cloud solutions. Act as the key stakeholder for project governance, working closely with delivery teams to ensure timely execution. Evangelize Exponentia.ai s capabilities across industry forums, events, and networks in the US market. Own revenue growth targets by driving cross-sell and upsell opportunities. Develop strategic account plans and execute customer success strategies in collaboration with leadership. Conduct executive-level presentations, articulating value propositions tailored to client needs. Address and resolve project challenges by deep diving into ongoing engagements. Work with the pre-sales team to create proposals, pitch decks, and thought leadership content for clients. Facilitate regular workshops, stakeholder meetings, and business reviews with clients. Required Skills: 2-5 years of experience in customer success, account management, or a related role. Strong understanding of data analytics, AI/ML concepts, and cloud platforms (AWS or Azure). Experience engaging with senior executives (VP, Director, or C-level) in enterprise accounts. Proven ability to operate in a fast-paced, high-growth environment and adapt to evolving client needs. Strong analytical and problem-solving skills with a customer-first mindset. Ability to navigate complex client organizations and align solutions with business objectives. Excellent verbal and written communication skills, capable of translating technical concepts for business audiences. Certifications in AWS, Azure, data analytics, or AI/ML are a plus. Education/Qualification: MBA from Tier I/II institute. Why join Exponentia: Expand your knowledge and work with cutting-edge technologies. Opportunity to work with some of the best minds and collaborate with them. Learn from Industry experts. Get Certified with latest technologies and platforms. Get access to networks of OEM partners and business leaders who are setting new standards at the cutting-edge of technology. Exponentia.ai is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees.

Role Overview: As a Junior Full Stack Developer at Exponentia.ai, you will work closely with our experienced development team to build and maintain scalable, high-performance web applications. Your primary focus will be on implementing user interface components using Angular,Node ensuring that our applications are both functional and user-friendly . Job Responsibilities: Backend : Familiar with AWS Platform, Knowledge of AWS Services like Glue, ECS, Application backend, s3, RDS and other foundational services like IAM, KMS. Frontend : Familiar with AWS Platform. Knowledge of Flask and Django, API management. CI/CD : Familiar with AWS Platform. Knowledge of Bitbucket, AIC setup - Terraform, Cloud Formation Develop and Maintain Web Applications: Build and enhance web applications using Angular, adhering to best practices and coding standards. Collaborate with Team: Work closely with designers, product managers, and other developers to understand requirements and deliver high-quality solutions. Implement UI Components: Create responsive and reusable UI components that offer a seamless user experience. Debug and Troubleshoot: Identify and resolve issues in existing codebases and applications to ensure optimal performance. Code Quality and Documentation: Write clean, maintainable code and contribute to comprehensive documentation to facilitate team collaboration and future development. Technical Skills: Proficiency in Angular, TypeScript, and JavaScript. Fulstack with Node Familiarity with HTML5, CSS3, and responsive design principles. Experience with RESTful APIs and integration. Understanding of version control systems, particularly Git. Experience with state management libraries such as NgRx or Akita. Knowledge of front-end build tools and task runners (e.g., Webpack, Gulp). Exposure to Agile development practices and methodologies. Strong problem-solving skills and attention to detail. Excellent communication and teamwork abilities. Eagerness to learn and adapt to new technologies and methodologies. Why join Exponentia: Expand your knowledge and work with cutting-edge technologies. Opportunity to work with some of the best minds and collaborate with them. Learn from Industry experts. Get Certified with latest technologies and platforms. Get access to networks of OEM partners and business leaders who are setting new standards at the cutting-edge of technology. Exponentia.ai is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees.

Role Overview: As a Senior Data Engineer, you will be responsible for designing, developing, and optimizing data pipelines, as well as building and maintaining the infrastructure required for the smooth extraction, transformation, and loading (ETL) of large datasets. You will leverage Talend and other big data technologies to ensure high-quality, high-performance data integration solutions. This role requires strong hands-on experience with Talend, cloud platforms, and data engineering best practices. Job Responsibilities: Data Pipeline Development: Design, build, and maintain scalable and efficient ETL pipelines using Talend and other big data technologies. Data Integration Transformation: Work with business analysts and data scientists to understand data requirements and build data integration solutions to support analytics and reporting. Talend Expertise: Use Talend s suite (Talend Studio, Talend Data Integration, Talend Cloud, etc.) to design and implement data pipelines and workflows. Performance Optimization: Optimize ETL processes to handle large volumes of data with high performance and reliability. Cloud Data Engineering: Work with cloud technologies (AWS, Azure, or GCP) to implement data integration and data warehouse solutions. Data Quality Assurance: Ensure data integrity and quality throughout the ETL process. Implement automated testing and validation for data pipelines. Collaboration: Collaborate with cross-functional teams, including data architects, data scientists, and business stakeholders, to design data solutions that meet business needs. Mentorship: Provide technical guidance and mentorship to junior team members in best practices for data engineering and Talend. Documentation: Maintain clear and concise technical documentation for data pipelines and architecture Technical Skills: Experience: 7-8 years of experience in data engineering, with at least 3-4 years of hands-on experience using Talend for ETL, data integration, and cloud-based solutions. Talend Expertise: Proficiency with Talend Data Integration, Talend Cloud, and Talend Studio, including development, troubleshooting, and performance optimization. Big Data Technologies: Experience with big data platforms like Hadoop, Spark, and related ecosystems. Cloud Platforms: Experience with cloud-based data services such as AWS (Redshift, S3, Lambda), Azure (Azure Data Lake, SQL Data Warehouse), or Google Cloud (BigQuery, Dataflow). Programming Languages: Strong programming skills in SQL, Java, Python, or similar languages used in data engineering. Database Systems: Deep understanding of relational databases (e.g., PostgreSQL, MySQL, SQL Server) and NoSQL databases (e.g., MongoDB, Cassandra). Data Warehousing: Hands-on experience with data warehousing concepts and tools like Snowflake, Redshift, or BigQuery. Data Governance: Knowledge of data governance, data security, and compliance best practices. Problem-Solving Skills: Strong analytical and troubleshooting skills, with a proven ability to solve complex data challenges. Communication: Excellent written and verbal communication skills, with the ability to explain complex technical concepts to non-technical stakeholders. Why join Exponentia: Expand your knowledge and work with cutting-edge technologies. Opportunity to work with some of the best minds and collaborate with them. Learn from Industry experts. Get Certified with latest technologies and platforms. Get access to networks of OEM partners and business leaders who are setting new standards at the cutting-edge of technology.

- Bachelor s or Master s degree in Computer Science, Data Science, Artificial Intelligence, or a related field.- Proven experience (3+ years) in AI/ML engineering, focusing on generative models.- Strong programming skills in languages such as Python, TensorFlow, and PyTorch.- Familiarity with machine learning frameworks and libraries.- Solid understanding of data structures, algorithms, and software engineering principles.- Experience with cloud platforms like AWS, Google Cloud, or Azure is a plus.- Strong problem-solving skills and ability to work in a fast-paced team environment.- Excellent communication and presentation skills. Design and develop Generative AI applications using advanced NLP techniques, LLMs, and related LLM frameworks. Implement Large Language Models (LLMs) for applications such as language understanding, generation, and conversational AI systems. Build and fine-tune AI, ML, and DL models using frameworks like TensorFlow, PyTorch, and Huggingface. Apply advanced techniques such as transfer learning, fine-tuning pre-trained models, and hyperparameter optimization to improve model performance. Develop and deploy REST APIs using FASTAPI to integrate AI/ML models into applications and services efficiently. Optimize and maintain high-performance endpoints for real-time model inference and scaling. Leverage Databricks and PySpark for scalable processing and model training with large datasets. Ensure optimal performance of machine learning pipelines in a distributed cloud environment. Work closely with data scientists, AI engineers, and product teams to build robust AI solutions. Contribute to the design and development of next-generation Generative AI products and services. Ensure smooth deployment of AI models and services, utilizing cloud infrastructure (e.g., AWS, Azure, GCP). Implement monitoring and logging for model performance, scalability, and system health. Stay up to date with the latest advancements in Generative AI, NLP, DL, and LLM frameworks. Contribute to internal RD efforts, exploring new methodologies and technologies to improve AI capabilities.

Role Overview:We are seeking a skilled GenAI Engineer with a strong foundation in Generative AI frameworks and Cloud technologies. The ideal candidate will have hands-on experience with LangChain, agentic frameworks, and other GenAI tools to build, optimize, and deploy AI-driven applications. This role requires a deep understanding of cloud-based AI solutions, integrating GenAI models, and leveraging cloud infrastructure for scalable deployment. Job Responsibilities: Develop, fine-tune, and deploy Generative AI solutions using LangChain, agentic frameworks, and other AI toolkits. Implement and optimize LLM-based applications for real-world use cases. Design and integrate AI solutions with cloud platforms such as AWS, Azure, or GCP. Work on end-to-end AI model lifecycle, including data preprocessing, model training, validation, and deployment. Ensure model performance, scalability, and efficiency through rigorous testing and optimization. Collaborate with cross-functional teams, including data engineers, product managers, and software developers, to deliver robust AI solutions. Stay updated with the latest advancements in Generative AI and cloud technologies, applying them to enhance existing solutions. Maintain documentation for models, architectures, and implementation strategies Required Skills: 3+ years of hands-on experience in AI/ML development with a focus on Generative AI. Strong working knowledge of LangChain, agentic frameworks, and prompt engineering. Hands-on experience with LLMs such as GPT, LLaMA, or similar. Exposure to cloud platforms (AWS, Azure, GCP) with experience in AI/ML model deployment. Proficiency in Python and relevant ML frameworks (TensorFlow, PyTorch, Hugging Face). Experience with APIs, vector databases, and orchestration tools in AI applications. Understanding MLOps best practices for AI model management and deployment. Strong problem-solving and analytical skills with the ability to work in a fast-paced environment. Why join Exponentia: Expand your knowledge and work with cutting-edge technologies. Opportunity to work with some of the best minds and collaborate with them. Learn from Industry experts. Get Certified with latest technologies and platforms. Get access to networks of OEM partners and business leaders who are setting new standards at the cutting-edge of technology. Exponentia.ai is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees.

We are seeking an experienced and highly motivated ODI Developer with 2-4 years of hands-on experience in designing, developing, and maintaining Oracle Data Integrator (ODI) interfaces, packages, and scenarios. The ideal candidate will possess strong expertise in data integration, cleansing, validation, and troubleshooting within ETL environments. You will play a key role in building robust data integration solutions and ensuring the smooth flow of data across systems. Key Responsibilities: Design, develop, and maintain ODI interfaces, packages, and scenarios to facilitate smooth data integration and transformation processes. Perform data cleansing and validation tasks to ensure data quality, consistency, and integrity across systems. Write and optimize SQL queries for efficient database operations and data validation. Enhance and manage Knowledge Modules (KMs) to improve performance and streamline ETL processes. Troubleshoot and resolve errors and issues related to ODI, ensuring minimal downtime and disruptions. Collaborate with cross-functional teams to gather requirements, perform data modeling, and design effective ETL solutions. Document technical processes, data flows, and ODI configurations for future reference and knowledge sharing. Continuously improve ETL processes and implement best practices for data integration and transformation. Required Skills & Qualifications: 2-4 years of experience in Oracle Data Integrator (ODI) development and support. Proficiency in designing, developing, and maintaining ODI interfaces, packages, and scenarios. Strong experience in performing data cleansing, validation, and writing complex SQL queries. Experience in enhancing and managing ODI Knowledge Modules (KMs) to optimize data processing and performance. Solid understanding of ETL development principles and best practices. Excellent troubleshooting skills and ability to identify, resolve, and document errors in ODI processes. Strong knowledge of data modeling concepts and best practices. Familiarity with database management systems (e.g., Oracle, SQL Server, MySQL) and SQL scripting. Good communication skills, with the ability to collaborate effectively with technical and non-technical teams. Preferred Skills (Optional): Knowledge of other ETL tools and platforms. Experience with Oracle databases and related technologies. Certification in Oracle Data Integrator (ODI) or related areas. Education & Experience: Bachelors degree in Computer Science, Information Technology, or a related field. 2-4 years of professional experience in ETL development, with a focus on Oracle Data Integrator.

Overview: We are seeking a highly skilled Senior Qlik Developer with 5-7 years of experience in developing and implementing Qlik-based solutions. The ideal candidate will be responsible for the end-to-end development of Qlik applications, data integration, dashboard creation, and performance optimization. As a Senior Qlik Developer, you will work closely with cross-functional teams, including business analysts, data architects, and stakeholders, to deliver impactful data solutions that meet the business needs. Key Responesibilities: Qlik Development : Design, develop, and deploy QlikView and Qlik Sense applications, reports, and dashboards to meet business requirements. Data Integration : Collaborate with data engineers to integrate data from multiple sources (databases, APIs, flat into Qlik for reporting and analysis. Performance Tuning : Optimize Qlik applications for performance, focusing on reducing load times and improving user experience. User Support Troubleshooting : Provide support for existing Qlik applications, resolving any technical issues and ensuring optimal performance. Collaborative Problem Solving : Work closely with business stakeholders to gather requirements and transform them into functional and technical specifications. Best Practices : Ensure that development follows Qlik best practices, including data modeling, data governance, and performance optimization. Testing Documentation : Participate in the testing process and create comprehensive documentation for developed applications, including usage guides and technical specifications. Mentorship : Provide guidance and mentorship to junior developers, sharing knowledge on Qlik development best practices and approaches. Continuous Improvement : Stay up-to-date with the latest features and updates in Qlik technologies and actively contribute to improving the development processes. Qualifications : Education : Bachelors degree in Computer Science, Information Technology, or a related field, or equivalent work experience. Experience : 5-7 years of hands-on experience in QlikView and Qlik Sense development. Strong experience in data modeling, ETL processes, and data visualization in Qlik platforms. Proven track record of developing complex dashboards and reporting solutions. Technical Skills : Proficiency in Qlik scripting, Qlik functions, and Qlik object design. Experience with integrating various data sources (SQL Server, Oracle, REST APIs, etc.) into Qlik applications. Strong SQL knowledge, including the ability to write complex queries. Familiarity with advanced Qlik features such as Set Analysis, Variables, and Section Access. Knowledge of Qlik APIs for automation or integration with other systems is a plus. Soft Skills : Excellent problem-solving skills and the ability to work in a fast-paced environment. Strong communication skills, with the ability to interact with both technical teams and business users. Attention to detail, with a focus on delivering high-quality work. Ability to work independently and as part of a team, managing multiple priorities and deadlines. Preferred Skills : Experience with Qlik NPrinting for report generation and distribution. Familiarity with cloud platforms (AWS, Azure) and Qliks cloud offerings. Knowledge of other BI tools like Power BI, Tableau, or others is a plus.

Overview: We are seeking a highly skilled and experienced Technical Project Manager to join our dynamic team. The ideal candidate will have 7+ years of proven experience in managing complex technical projects, excellent leadership skills, and a deep understanding of both technical and business requirements. The successful candidate will be responsible for planning, executing, and closing projects while ensuring that the goals are achieved on time, within scope, and within budget. Key Responsibilities: Lead and manage multiple technical projects through all phases of the project lifecycle, from initiation through to delivery. Collaborate with cross-functional teams, including software engineers, architects, designers, and QA engineers, to ensure project alignment with business objectives and technical requirements. Define project scope, objectives, and deliverables, and ensure they align with client or stakeholder expectations. Develop detailed project plans, schedules, and resource allocation to ensure successful delivery within budget and on time. Monitor and track project progress, proactively identify risks, and implement mitigation strategies. Prepare and present regular status reports to senior management and stakeholders, ensuring clear and transparent communication. Facilitate project meetings, ensuring proper documentation of decisions, actions, and follow-up items. Manage project budgets, timelines, resources, and scope changes. Provide technical expertise in troubleshooting, problem-solving, and decision-making throughout the project lifecycle. Work closely with product management and other departments to gather requirements and deliver solutions. Identify opportunities for process improvements and help implement best practices for project management and software development. Lead and mentor junior project managers and other team members. Required Qualifications: Bachelor s degree in Computer Science, Engineering, Information Technology, or a related field. 7+ years of hands-on experience in managing technical projects in an Agile, Waterfall, or hybrid environment. Proven experience in leading technical teams and managing software development or IT infrastructure projects. Strong technical background with an understanding of software development, cloud technologies, IT systems, and systems integration. Expertise in project management tools (e.g., Jira, Asana, Microsoft Project, Trello) and methodologies (e.g., Agile, Scrum, Waterfall). Exceptional problem-solving skills with the ability to make tough decisions and prioritize effectively. Excellent communication, presentation, and interpersonal skills to interact with technical and non-technical stakeholders. Ability to manage competing priorities in a fast-paced, dynamic environment. PMP (Project Management Professional) certification or other relevant certifications is highly preferred.

Job Summary: We are seeking a highly skilled Data Modeller with 5-10 years of experience in data analytics and data warehousing projects on the AWS platform. The ideal candidate will have a strong background in data modelling, business requirements analysis, and KPI development. This role requires expertise in creating data flow diagrams, business process flow diagrams, and data mapping from source to target systems. The candidate should also be proficient in analysing source data for data quality issues and designing conceptual, logical, and physical data models for dashboards and KPIs. Experience with star schema, snowflake schema, and data marts is essential. Key Responsibilities: Gather and document business requirements for KPI development, dashboards, and reports. Create and maintain business process flow diagrams and data flow diagrams. Perform data mapping from source systems to target data models. Analyse source data in Excel or databases to identify and resolve data quality issues. Design conceptual data domains, logical data entities, and physical data models. Develop data warehouse models, including star schema, snowflake schema, and data marts. Collaborate with stakeholders, including business teams, data engineers, and developers, to ensure alignment between business needs and data architecture. Support data governance initiatives by defining metadata, data lineage, and data quality rules. Work on data analytics projects to enhance data-driven decision-making. Implement best practices for data modelling, ensuring scalability and performance optimization. Required Skills Qualifications: 5-10 years of experience in data analysis, data modelling, and data warehousing. Hands-on experience with AWS data services (e.g., Redshift, Glue, Athena, S3, Lambda). Proficiency in SQL for data extraction, transformation, and analysis. Experience with data visualization tools (e.g., Power BI, Tableau, QuickSight). Strong understanding of data governance, metadata management, and data quality principles. Experience in designing and implementing star schema and snowflake schema and ER models. Proficiency in data analysis, including requirement gathering and stakeholder communication. Familiarity with ETL processes and tools like Erwin. Ability to work with large datasets and optimize performance. Strong problem-solving and analytical skills. Preferred Qualifications: Experience with Python other scripting languages for data analysis. Knowledge of data cataloging tools and data lineage tracking. AWS certifications (e.g., AWS Certified Data Analytics, AWS Solutions Architect) are a plus. Experience in Agile development methodologies. Experience in working on AWS infrastructure.

Job Overview: We are seeking a highly motivated and experienced Squad Lead or Data Project Lead with a strong background in business analysis, data engineering, and development. The ideal candidate will have proven experience in leading teams, developing delivery plans, and managing project resources and budgets. They will be responsible for ensuring the successful execution of projects while managing stakeholder expectations, mitigating risks, and driving governance throughout the project lifecycle. Key Responsibilities: Develop high-level delivery plans based on initial business requirements and refine them as the project progresses. Create and manage detailed project plans, ensuring on-time and on-budget delivery. Lead and manage a team of 5-10 people, coordinating resources and adjusting the team structure as needed. Develop and oversee project budgets and resource plans, ensuring the effective allocation and release of resources as per project requirements. Manage business stakeholders, ensuring clear communication and alignment with project goals. Implement strong project governance through daily stand-ups, weekly project reviews, and steering committees. Enforce a robust change management process, ensuring proper handling of project changes. Assess risks and issues proactively, providing clear action plans to mitigate them internally and with clients. Play a senior business analyst role by identifying and unblocking project issues by collaborating with the right stakeholders. Ensure continuous alignment between technical and business objectives, providing strategic direction to the project team. Requirements: 8-10 years of experience in data-related roles, with a background as a business analyst or data engineer. Proven experience in team leadership, project planning, and resource management. Strong experience in developing high-level and detailed delivery plans for data projects. Excellent risk management and problem-solving skills. Experience in managing budgets and resource allocations for medium to large-scale projects. In-depth knowledge of project governance, change management, and stakeholder management. Strong communication and interpersonal skills to manage both internal teams and business stakeholders. Experience in data mapping, data analysis, developing business requirements documents, design documents.

We are looking for a highly skilled Big Data Engineer with deep expertise in Apache Nifi, Zookeeper, Apache Kafka, Apache Spark, and Scala programming. The ideal candidate should have strong SQL knowledge with PostgreSQL and hands-on experience with AWS services such as EMR, ElasticSearch, S3, and RDS (PostgreSQL). You will be responsible for designing, developing, and optimizing scalable data pipelines, ensuring data integrity, and troubleshooting AWS cloud infrastructure issues. Key Responsibilities: Big Data Engineering & Development: Design, implement, and maintain data pipelines using Apache Nifi. Manage and configure Zookeeper to support distributed systems. Develop real-time and batch processing applications using Apache Kafka and Apache Spark. Write efficient and optimized Scala code for data processing. Perform data ingestion, transformation, and storage in a distributed environment. Database Management & SQL Expertise: Work with PostgreSQL, writing complex SQL queries for data extraction, transformation, and analysis. Optimize database performance and ensure data consistency. Implement database backup, replication, and recovery strategies. AWS Cloud Infrastructure & Services: Deploy and manage AWS EMR for big data processing. Utilize AWS ElasticSearch for indexing and searching large datasets. Store and manage data in AWS S3 for scalable storage solutions. Work with AWS RDS (PostgreSQL) for database management and operations. Troubleshoot AWS services and optimize performance. Operating System & Scripting: Administer and manage Windows and Linux OS (Ubuntu/AWS Linux). Develop Shell scripts for automation and workflow management. Troubleshooting & Performance Optimization: Diagnose and resolve issues related to AWS cloud services, big data applications, and distributed systems. Monitor system performance and optimize pipelines for better efficiency. Ensure high availability and fault tolerance of data pipelines and services. Required Skills & Qualifications: Strong expertise in Apache Nifi, Zookeeper, Apache Kafka, Apache Spark, and Scala programming. Excellent SQL skills with PostgreSQL, including query optimization and indexing. Hands-on experience with AWS services: AWS EMR, AWS ElasticSearch, AWS S3, AWS RDS (PostgreSQL). Proficiency in Windows and Linux (Ubuntu/AWS Linux) administration. Strong problem-solving skills and ability to troubleshoot AWS infrastructure and big data applications. Experience in Shell scripting for automation. Preferred Qualifications: AWS certifications (e.g., AWS Certified Big Data - Specialty, AWS Certified Solutions Architect). Experience with Terraform or AWS CloudFormation for infrastructure as code (IaC). Knowledge of Kubernetes for container orchestration. Experience with CI/CD pipelines for data workflows. Exposure to monitoring tools such as Prometheus, Grafana, or AWS CloudWatch.

Purpose of the Role: Understand Life Asia application, business requirements, conduct detailed gap analysis of a product versus the requirements, create the functional design, acts as the functional SME for a module, own the business process flows for the customer, perform product configuration setup with the objective of ensuring complete coverage of clients requirements and product quality within the client and project specifications. Sound knowledge of Life Asia application and functionalities Requirement gathering, rationalization, prioritization & documentation Working experience on various types of Life Insurance products such as Term, ULIP, Savings, Whole life, Pension etc Functional gap analysis & impact analysis on the application Create Functional Specification document and provide walkthrough to development and Testing teams. Functional support during development of application and coordinate with Interface teams on Group Asia integration touch points Review design and test cases prepared by Developers. Track all the defects identified during the functional testing to closure Sound knowledge of different functionalities in Life Asia - New Business, Policy servicing, Policy Admin, claims, Product set up etc Support System Integration & User Acceptance Testing phases. Good SQL knowledge is preferable. Support for Program management activities including regular status reporting and escalation of challenges/ risks on timely basis. Qualifications and Experience: Proven experience as a Business Analyst, preferably within the life insurance industry. Strong working knowledge of the LifeAsia application is essential. Experience in business process modeling and documentation. Familiarity with life insurance products, processes, and regulatory requirements. Excellent analytical, problem-solving, and communication skills. Ability to manage multiple tasks and projects simultaneously.

Key Responsibilities: Design, develop, and maintain Python-based applications for various business needs. Write efficient and optimized SQL queries to extract, manipulate, and analyze data from large databases. Collaborate with cross-functional teams to understand requirements and deliver data-driven solutions. Ensure code quality by implementing best practices, unit testing, and code reviews. Optimize and troubleshoot performance issues in Python applications and SQL queries. Work with other developers, analysts, and stakeholders to ensure that requirements are met effectively. Maintain and update existing scripts, databases, and applications to enhance functionality and performance. Document the code, processes, and other technical aspects as required. Required Skills & Qualifications: 3 to 5 years of hands-on experience in Python programming. Strong experience with SQL, including complex queries, stored procedures, and database optimization. Familiarity with data processing frameworks and libraries like Pandas, NumPy, etc. Experience working with databases such as MySQL, PostgreSQL, or SQL Server. Ability to work with REST APIs and integrate external data sources using Python. Good understanding of version control systems like Git. Strong problem-solving skills and ability to troubleshoot and optimize code. Familiarity with Agile methodologies and the software development lifecycle. Excellent communication skills and the ability to work effectively within a team.

Necessary Qualifications: Candidate should have minimum of 3+ years of PL/SQL hands on experience Experience in PL/SQL and Data warehouse, Reporting concepts. Strong knowledge and expertise on Oracle -SQL and Pl/SQL. Good communication and interpersonal skill required Preference will be given to Insurance domain experience. Oracle Query optimization/Performance tuning. Good analytical & Problem-solving skills Advantage, if aware report s development tools like Microsoft SSRS.Personality Traits: Good collaboration and communication skills. Excellent problem-solving skills to be able to structure the right analytical solutions. Strong sense of teamwork, ownership, and accountability . Analytical and conceptual thinking .

Own and drive revenue targets for the assigned accounts, ensuring alignment with overall business goals. Develop and execute account growth strategies focused on data and AI solutions, including generative AI applications. Manage and nurture existing customer relationships to identify upsell and cross-sell opportunities. Act as a trusted advisor to key stakeholders, driving strategic engagements in Data AI solutions. Identify, qualify, and secure new business opportunities through marketing efforts, referrals, and strategic partnerships. Develop and implement go-to-market strategies to expand business within the BFSI industry. Build and maintain strong OEM partnerships with industry leaders like Microsoft, Databricks, AWS, Qlik-Talend to co-market and co-sell AI-driven solutions. Leverage OEM relationships to enhance solution offerings and drive joint sales initiatives. Maintain and manage a healthy sales pipeline, tracking deal progress, revenue forecasts, and closure timelines. Ensure accurate reporting of sales metrics and account performance. Stay updated on industry trends, emerging AI technologies, and competitor activities within the Data AI space, with a strong emphasis on generative AI applications in BFSI. Provide insights to internal teams to refine product positioning and sales strategies. Lead complex sales negotiations, structuring deals that align with customer needs and business objectives. Ensure contracts, pricing, and commercial agreements are aligned with business and legal frameworks. Develop and deliver compelling sales presentations showcasing the value proposition of generative AI and data-driven solutions. Work closely with pre-sales and technical teams to demonstrate solution capabilities and business impact. Required Skills: 12-20 years of experience in Account Management, Business Development, Customer Success, and Partner Management. Strong expertise in Data AI concepts, including Generative AI, and their industry applications. Previous experience working with BFSI clients and selling Data AI solutions. Proven ability to manage high-value accounts, drive revenue growth, and establish long-term relationships. Excellent communication, negotiation, and strategic sales skills. Strong proficiency in CRM and sales enablement tools. Experience working in a fast-paced, startup environment. Deep understanding of Generative AI technologies, their capabilities, limitations, and use cases. Technical aptitude to articulate complex AI concepts to non-technical audiences. Strong ability to collaborate with cross-functional teams, including product, marketing, and technical teams.

Develop and maintain high-quality web and mobile applications using Flutter. Implement Provider state management for efficient state handling. Create pixel-perfect and responsive UIs that provide an excellent user experience. Independently design and implement UI components based on design specifications. Collaborate with cross-functional teams to define, design, and ship new features. Participate in Agile development processes, including sprint planning, daily stand-ups, and retrospectives. Write clean, maintainable, and well-documented code. Troubleshoot and debug issues to optimize performance. Requirements: 2-3 years of experience in Flutter development for web and mobile platforms. Strong knowledge of Provider state management. Proven ability to create pixel-perfect and responsive UIs. Experience in independently designing and implementing UIs. Familiarity with Agile methodology and practices. Strong problem-solving skills and attention to detail. Excellent communication and teamwork skills. Bachelors degree in Computer Science, Engineering, or a related field (preferred). Nice to Have: Experience with other state management solutions like Riverpod or Bloc. Knowledge of backend technologies and APIs. Familiarity with version control systems like Git.

We are seeking an experienced and highly skilled Senior Data Analyst with a deep understanding of ETL processes , SQL , and Python to join our dynamic data team. The ideal candidate will have over 7 years of experience in data analysis, including working with large datasets, building ETL pipelines, and applying advanced SQL queries. You will be responsible for transforming raw data into actionable insights, automating data workflows, and supporting business decision-making through accurate and efficient data management. Key Responsibilities: Design, develop, and maintain ETL pipelines to extract, transform, and load data from various sources into structured data repositories. Write complex SQL queries for data extraction, data analysis, and reporting across multiple databases. Analyze and interpret data to provide actionable insights that drive business strategies and decisions. Develop and automate data workflows using Python for data processing, data cleaning, and analysis tasks. Collaborate with cross-functional teams, including product, engineering, and business teams, to understand data requirements and provide data-driven solutions. Build and manage data dashboards and reports for key stakeholders, ensuring the data is accurate, timely, and relevant. Troubleshoot, optimize, and improve ETL processes and data pipelines for better performance and scalability. Work with large datasets, ensuring data integrity, consistency, and quality. Ensure compliance with data governance and security protocols. Continuously evaluate and implement best practices for data analysis, reporting, and automation. Required Skills & Qualifications: Experience: 7+ years in data analysis, with a strong focus on ETL , SQL , and Python . ETL Expertise: Proven experience in building and maintaining ETL processes, using tools like Apache Airflow , Talend , Informatica , or other similar tools. SQL Proficiency: Advanced knowledge of SQL for complex queries, data manipulation, and performance tuning across various databases (eg, MySQL, PostgreSQL, SQL Server). Python Skills: Strong experience with Python for data manipulation, automation of tasks, and working with libraries such as pandas , numpy , SQLAlchemy , and matplotlib . Data Warehousing: Knowledge of data warehousing concepts, including data modeling and schema design. Data Visualization: Familiarity with data visualization tools such as Tableau , Power BI , or Looker to communicate insights effectively. Problem-Solving: Excellent analytical and problem-solving skills with the ability to think critically and propose data-driven solutions. Collaboration: Strong communication skills to effectively work with technical and non-technical teams. Education: A bachelors degree in Computer Science, Engineering, Mathematics, Statistics, or a related field. A masters degree is a plus.

Exponentia.ai is seeking a highly skilled and motivated Power Bi Developer who will be responsible for End-to-End development of BI reports. Job Responsibilities: Design and develop Power BI reports and dashboards with a focus on usability and interactivity. Build data models that are efficient, scalable, and secure. Write and maintain DAX formulas for advanced calculations and data analysis. Connect to various data sources (relational databases, cloud storage, etc) and transform data for analysis. Implement data security and access controls using Power BI features. Collaborate with business users to understand their reporting needs and translate them into technical requirements. Document Power BI reports and dashboards for future reference and maintenance. Stay up-to-date with the latest Power BI features and best practices. Partner with cross functional work teams to identify opportunities to utilize data analytics to improve business processes and business results. Look at data requirements, enhancements, and assist in setting direction for the companys data transformation initiative. Data maintenance and project work as assigned. Supports ad hoc projects and reports. Live our values of High Performance, Caring Relationships, Strategic Foresight, Find A Better way by championing continuous improvement and quality control efforts to identify opportunities to innovate and improve efficiency, accuracy, and standardization. Continuously learn and develop self professionally support corporate efforts for safety, government compliance, and all other company policies & procedures Personality Traits: Good collaboration and communication skills Excellent problem-solving skills to be able to structure the right analytical solutions. Strong sense of teamwork, ownership, and accountability Analytical and conceptual thinking Ability to work in a fast-paced environment with tight schedules. Good presentation skills with the ability to convey complex ideas to peers and management. Education/Qualification: Any Graduate / PG / MBA

We are seeking a highly skilled AI Full Stack Developer with expertise in React.js, Node.js, and AI/ML technologies. The ideal candidate will have a passion for artificial intelligence, full-stack development, and building scalable, high-performance applications. Roles and Responsibilities: Design, develop, and maintain AI-powered applications using React.js, Node.js. Implement and optimize machine learning models and algorithms to enhance application functionality. Develop user-friendly and responsive web applications using React.js and modern UI frameworks. Create and maintain RESTful APIs and microservices using Node.js and Express.js. Optimize components for maximum performance across a vast array of web-capable devices and browsers. Work closely with cross-functional teams to integrate AI capabilities into products and services. Research and implement state-of-the-art AI techniques, including natural language processing (NLP), computer vision (CV), and generative AI (LangChains, LLMs). Conduct model testing, validation, and performance tuning to ensure accuracy and reliability. Write clean, maintainable, and testable code, ensuring adherence to best practices and performance standards. Utilize cloud platforms (AWS, Azure, GCP) for deployment, scaling, and maintenance of applications. Participate in agile development processes, code reviews, and team collaborations. Keep up-to-date with industry trends, tools, and emerging AI and web technologies. We are seeking a highly skilled AI Full Stack Developer with expertise in React.js, Node.js, and AI/ML technologies. The ideal candidate will have a passion for artificial intelligence, full-stack development, and building scalable, high-performance applications. Roles and Responsibilities: Design, develop, and maintain AI-powered applications using React.js, Node.js. Implement and optimize machine learning models and algorithms to enhance application functionality. Develop user-friendly and responsive web applications using React.js and modern UI frameworks. Create and maintain RESTful APIs and microservices using Node.js and Express.js. Optimize components for maximum performance across a vast array of web-capable devices and browsers. Work closely with cross-functional teams to integrate AI capabilities into products and services. Research and implement state-of-the-art AI techniques, including natural language processing (NLP), computer vision (CV), and generative AI (LangChains, LLMs). Conduct model testing, validation, and performance tuning to ensure accuracy and reliability. Write clean, maintainable, and testable code, ensuring adherence to best practices and performance standards. Utilize cloud platforms (AWS, Azure, GCP) for deployment, scaling, and maintenance of applications. Participate in agile development processes, code reviews, and team collaborations. Keep up-to-date with industry trends, tools, and emerging AI and web technologies.

We are looking for a talented and driven Databricks Data Engineer with 3-4 years of experience to join our growing data engineering team. The ideal candidate will have hands-on experience working with Databricks, Apache Spark, and cloud technologies, and will be passionate about designing and implementing data pipelines and optimizing workflows. This role will give you the opportunity to work on cutting-edge data solutions while collaborating with data scientists, analysts, and business stakeholders. Key Responsibilities: Develop and maintain data pipelines using Databricks and Apache Spark to manage large datasets. Implement efficient ETL workflows and integrate data from multiple sources into cloud-based environments (AWS, Azure, or GCP). Optimize data processing and workflows within Databricks for performance, scalability, and reliability. Collaborate with data teams to ensure the availability and accessibility of high-quality data. Work with stakeholders to translate business requirements into technical solutions and provide actionable data insights. Ensure data quality, governance, and security across all data platforms. Monitor and troubleshoot data pipeline performance, providing continuous improvements and automation. Document solutions and processes to maintain clarity, consistency, and knowledge sharing within the team. Qualifications: 3-4 years of experience in data engineering or a related role. Hands-on experience with Databricks and Apache Spark for building and optimizing data pipelines. Proficiency in Python , Scala , or SQL for data processing and automation. Experience working with cloud platforms such as AWS , Azure , or GCP . Knowledge of ETL processes , data integration, and data warehousing. Experience with SQL and NoSQL databases for querying and managing large datasets. Familiarity with CI/CD practices and tools such as Git , Jenkins , or Docker . Strong analytical and problem-solving skills with the ability to troubleshoot data pipeline issues. Preferred Qualifications: Experience with Databricks Delta Lake or MLflow . Familiarity with streaming data and real-time processing using Apache Kafka or Spark Streaming . Experience with data visualization tools (e.g., Power BI , Tableau ). Understanding of data security and governance practices. Bachelor s degree in Computer Science , Information Technology , or a related field

We are seeking a highly skilled and motivated Senior Databricks Data Engineer with at least 5 years of experience in the data engineering domain to join our dynamic data engineering team. The ideal candidate will have hands-on experience with Databricks, Spark, and other cloud technologies, along with a strong background in data pipeline development, ETL processes, and working with large datasets in a cloud environment. As a Senior Databricks Data Engineer, you will play a key role in designing, building, and maintaining scalable data pipelines, optimizing data workflows, and working closely with data scientists, analysts, and other engineers to provide actionable insights. Key Responsibilities: Design, implement, and optimize data pipelines using Databricks and Apache Spark to handle large-scale datasets. Develop and maintain efficient ETL workflows and perform data integration from a variety of data sources into cloud-based environments (AWS, Azure, or GCP). Collaborate with data scientists, analysts, and business stakeholders to understand requirements and deliver reliable data solutions. Optimize Databricks notebooks, workflows, and data processing jobs for performance and scalability. Implement best practices in data security , governance, and performance optimization within the Databricks ecosystem. Work closely with the DevOps team to automate deployment pipelines and ensure robust monitoring and alerting. Troubleshoot performance issues and optimize data processing to meet service level agreements (SLAs). Stay up to date with the latest technologies in data engineering, particularly Databricks, Spark, and related frameworks. Required Qualifications: 5+ years of experience in data engineering with at least 3 years of hands-on experience with Databricks and Apache Spark . Strong proficiency in programming languages such as Python , Scala , or Java . Experience with cloud platforms such as AWS , Azure , or GCP , particularly with services related to data storage and processing (e.g., S3, Redshift, Data Lake, BigQuery). Hands-on experience with ETL frameworks and data integration patterns. Experience in building, deploying, and optimizing scalable data pipelines. Solid understanding of SQL and experience with data warehousing and data lakes . Familiarity with CI/CD principles and tools (e.g., Jenkins, Git, Docker). Excellent problem-solving skills and ability to work with large, complex datasets. Strong communication skills with the ability to collaborate across teams and explain technical concepts to non-technical stakeholders.

We are seeking a skilled Data bricks Data Engineer to join our dynamic team The ideal candidate will have strong expertise in PySpark, Spark SQL, and a comprehensive understanding of the Databricks data engineering ecosystem You will play a critical role in designing and implementing data pipelines, optimizing data workflows, and ensuring data integrity Key Responsibilities: Design, develop, and maintain scalable data pipelines using Databricks Utilize PySpark and Spark SQL to process large datasets and perform data transformations Collaborate with data scientists and analysts to understand data requirements and deliver efficient solutions Optimize existing data workflows for performance and reliability Monitor data pipeline performance and troubleshoot issues as they arise Implement best practices for data governance and security Participate in code reviews and contribute to team knowledge sharing Roles & Responsibilities Key Skills and Qualifications: Proven experience as a Data Engineer with a focus on Databricks Strong proficiency in PySpark and Spark SQL Deep understanding of the Data bricks ecosystem, Databricks SQL Experience with ETL processes, and data warehousing concepts Knowledge of data visualization tools and frameworks is a plus Strong problem-solving skills and the ability to work independently Excellent communication skills and ability to collaborate with cross-functional teams

Minimum of 6 years of experience in Talend + Snowflake Capacity to work with onsite resources Ability to work as one team mode (part of team and clients are on remote- multinational environment) Ability to work in multiple simultaneous projects Have clear communication with all stakeholder Good experience in Talend Suit Good experience in Snowflake Stored Procedures Very good experience in SQL (SnowFlake desired) Good knowledge on data modelling and data transformation [ business layer]

Exponentia.ai is seeking an organized and detail-oriented Executive Assistant - Sales Operations to support our Sales leadership team. This role is critical in ensuring seamless operations across Sales, Marketing, and Pre-Sales functions by managing MIS reports, tracking revenue and leads, ensuring strategy adherence, and promoting process compliance. The ideal candidate will work closely with cross-functional teams to enhance operational efficiency and support business growth. Job Responsibilities: MIS and Reporting: Compile and maintain comprehensive MIS reports across all business units. Track and report revenue, purchase orders (POs), and other sales-related data. Monitor and maintain lead tracking reports and provide timely updates. Strategy Adherence: Ensure alignment with Sales and Marketing strategies by tracking progress and identifying areas for improvement. Collaborate with relevant stakeholders to monitor key performance indicators (KPIs). Provide insights and recommendations to drive strategy execution. Process and SOP Compliance: Ensure strict adherence to defined processes and Standard Operating Procedures (SOPs) across Sales, Marketing, and Pre-Sales teams. Identify gaps in process adherence and recommend corrective actions. Relationship Management: Maintain strong relationships with Original Equipment Manufacturer (OEM) partners. Track and report on OEM relationship Net Promoter Score (NPS). Expense Management: Oversee and manage sales operations-related expenses. Collaborate with the finance team to ensure expense reports are accurate and aligned with budget guidelines. Cross-Functional Alignment: Act as a liaison between Sales, Marketing, Pre-Sales, Finance, and other departments to ensure smooth business operations. Support in driving operational initiatives and process improvements. Required Skills: 5+ years of experience in sales operations, or executive sales support. Strong proficiency in MS Excel, PowerPoint, and data management tools. Experience in managing reports, dashboards, and sales performance metrics. Excellent communication, organizational, and analytical skills. Ability to work independently and manage multiple tasks in a fast-paced environment. Education/Qualification: MBA is mandatory, and a bachelor s degree in engineering is preferred. Why join Exponentia: Expand your knowledge and work with cutting-edge technologies. Opportunity to work with some of the best minds and collaborate with them. Learn from Industry experts. Get Certified with the latest technologies and platforms. Get access to networks of OEM partners and business leaders who are setting new standards at the cutting-edge of technology. Exponentia.ai is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees.

Lead and oversee the design and implementation of end-to-end data integration and ETL solutions using Talend . Collaborate with business stakeholders to gather requirements and design solutions that meet business needs. Provide technical guidance and mentorship to a team of Talend developers, ensuring high standards of coding, testing, and deployment practices. Develop and optimize data pipelines for performance, scalability, and maintainability. Lead code reviews and ensure that the team follows best practices and coding standards. Collaborate with the architecture team to design scalable and efficient data solutions. Troubleshoot and resolve complex data integration issues across different systems. Ensure adherence to data governance and security best practices throughout the data integration lifecycle. Manage and monitor Talend jobs and processes to ensure continuous and smooth data operations. Contribute to the enhancement of existing Talend frameworks, components, and processes. Stay current with the latest trends and updates in Talend and related technologies. Provide regular progress reports and project updates to management and stakeholders. Required Skills and Qualifications 8-10 years of experience in data integration, ETL processes, and working with Talend technologies. Hands-on experience with Talend Data Integration (DI) , Talend Data Quality (DQ) , and Talend Cloud . Strong understanding of data architecture , data modeling, and data warehousing concepts. Proficient in programming languages such as Java , SQL , and scripting languages for data transformation. Experience with cloud platforms (AWS, Azure, GCP) and working with cloud-native data services. Familiarity with Big Data technologies (Hadoop, Spark, etc.) is a plus. Strong knowledge of data security and governance best practices. Proven experience in leading and mentoring a technical team. Excellent communication skills to interact with both technical and non-technical stakeholders. Ability to manage multiple projects and priorities in a fast-paced environment. Bachelor s degree in Computer Science, Engineering, or a related field. Master s degree is a plus.

1. Alteryx Workflow Development: - Design, develop, and optimize Alteryx workflows to automate data extraction, transformation, and loading (ETL) processes. - Implement end-to-end solutions using Alteryx Designer, ensuring high performance and scalability. - Develop reusable workflows and macros to improve efficiency across multiple projects. 2. Data Integration and Preparation: - Connect to and integrate data from various sources such as databases, flat files, APIs, and cloud services. - Perform data cleansing, blending, and transformation using Alteryx tools. - Ensure data accuracy and consistency throughout the workflow processes. 3. Collaboration with Teams: - Collaborate with data analysts, business users, and IT teams to understand business requirements and translate them into technical solutions. - Participate in discussions to recommend best practices for data workflows and process improvements. 4. Performance Tuning and Optimization: - Monitor and troubleshoot existing workflows for performance issues. - Optimize workflows by implementing best practices in data processing and minimizing resource usage. 5. Reporting - Generate reports and dashboards that help business users make informed decisions. 6. Documentation: - Document workflow designs, processes, and solutions for future reference and knowledge sharing. - Maintain and update technical documentation as workflows evolve. Required Skills and Qualifications: - 2-3 years of experience in Alteryx development. - Proficiency in using Alteryx Designer and building complex workflows. - Experience with ETL processes, data cleansing, and transformation. - Knowledge of data formats (Excel, CSV, JSON, XML, etc.) and databases (SQL Server, Oracle, etc.). - Ability to work with large datasets and optimize workflows for performance. - Strong problem-solving and analytical skills. - Understanding of basic programming concepts and experience with SQL, Python, or R is an advantage. - Excellent communication and collaboration skills to work effectively with cross-functional teams.