Job description Role: IT Pre- Sales Experience: 5 -8 years Qualification: Any Graduate Location: Chennai (In Office) Employment: Full-time Work Timing: US Shift "We seek a dynamic IT Presales Specialist with Cloud, Analytics, and AI expertise to join our team. As a part of our sales team, you will be responsible for engaging with clients, understanding their business needs, and crafting innovative solutions leveraging Cloud, Analytics, and AI technologies. Your primary goal will be to drive revenue growth by effectively articulating the value proposition of our offerings and guiding clients through the sales process" Job Description: Engage with the clients to understand their business challenges, needs, and Objectives. Design tailored solutions that address their specific Services requirements. Creating compelling proposals in response to RFPs that effectively communicate the value proposition of our offerings. Work with the sales team to generate and qualify leads. Conduct presentations and demonstrations to showcase the capabilities of our Cloud, Analytics, and AI solutions. Stay updated on the latest trends and developments in Cloud, Big Data, Analytics, and AI. Build and maintain strong relationships with key stakeholders Analyze customer feedback and market data to identify enhancements or new offering opportunities. Could you collaborate with our internal technical teams to make sure that the proposed solutions align with best practices and industry standards? Share insights and recommendations with internal teams to drive continuous improvement. Requirements Bachelor's degree in Computer Science, Engineering, or a related field. Advanced degree preferred. Proven experience in IT presales, consulting, or a technical sales role, with a focus on cloud and data analytics solutions. Strong understanding of cloud computing platforms (e.g., AWS, Azure, Google Cloud) and Analytics & Machine Learning Excellent communication and presentation skills, with the ability to effectively convey complex technical concepts to non-technical audiences. Demonstrated ability to collaborate across teams and work in a fast-paced, dynamic environment. Strong analytical and problem-solving skills, with a keen attention to detail. Relevant certifications (e.g., Microsoft Azure, Google Professional Data Engineer) preferred.

Job Description: We are seeking an experienced Python QA Lead with a strong background in automation testing to drive our quality assurance strategy. The ideal candidate will be responsible for leading the QA team, setting up testing frameworks, ensuring automation coverage, and collaborating with cross-functional teams to deliver high-quality products. Key Responsibilities: Lead the QA team and define best practices for automation testing. Design, develop, and maintain test automation frameworks using Playwright, TypeScript/JavaScript, and Python. Play a key role in integrating automated tests into CI/CD pipelines and ensuring smooth execution. Develop and execute test strategies, plans, and scripts for web applications. Work closely with development and product teams to implement robust test coverage. Conduct code reviews and mentor junior QA engineers. Ensure adherence to agile methodologies and industry best practices. Collaborate with stakeholders to continuously improve testing efficiency and coverage. Identify and drive improvements in test automation, tools, and processes. Required Skills: Strong expertise in Playwright and the ability to develop scalable automation frameworks. Proficiency in TypeScript/JavaScript for test script development and maintenance. Extensive experience with Python , particularly in test automation. Solid understanding of API automation testing and integration with test frameworks. Hands-on experience with CI/CD tools such as Jenkins, GitHub Actions, and GitLab CI. Excellent leadership, communication, and decision-making skills. Ability to mentor and guide QA engineers in automation best practices. Experience working in Agile environments with cross-functional teams. Familiarity with Azure DevOps is a plus. Job Features Job Category Python QA Lead Role Python QA Lead Experience 7+ years Qualification Any Graduate Chennai Type Hybrid or Remote

Job Summary: We are seeking a Program Manager to lead and oversee strategic analytics programs. The role requires managing multiple projects, ensuring alignment with business goals, and driving successful execution in a fast-paced analytics environment. Key Responsibilities: Oversee end-to-end program execution, ensuring timely delivery and quality. Collaborate with cross-functional teams, including data scientists, engineers, and business stakeholders. Define project scope, timelines, budgets, and risk management strategies. Drive process improvements and optimize workflows using Agile/Waterfall methodologies. Ensure stakeholder communication, reporting, and alignment with business objectives. Qualifications: PMP Certification added advantage. 5+ years of program/project management experience, preferably in analytics, data science, or technology. Strong knowledge of Agile, Scrum, and Waterfall methodologies. Excellent problem-solving, leadership, and communication skills. Flexible to work with US Shift in Office (Hybrid)

Role: Sales Enablement Specialist Experience: 3 to 5 years Qualification: Any Graduate Location: Chennai (Work From Office) Employment: Full-time About the Role: We are seeking a Sales Enablement Specialist to manage and streamline post-onboarding documentation, ensuring accuracy, compliance, and efficiency in handling client contracts, employee agreements, and Statements of Work (SOWs). This role is crucial in supporting the sales, legal, and HR teams by maintaining seamless documentation workflows and enabling smooth post-sales operations. Key Responsibilities: Prepare and manage client contracts, employee agreements, and SOWs post-onboarding. Optimize documentation processes and ensure best practices. Work closely with sales, HR, legal, and operations to ensure smooth transitions from sales to execution. Close, coordinate, and follow up until the billing stage is completed. Act as a liaison between stakeholders to facilitate contract negotiations and approvals. Timely coordinate with the legal team across India and North America to ensure compliance. Maintain accurate records of all contractual documents and track key milestones. Provide guidance on document storage, retrieval, and version control for easy access. Ensure compliance with industry regulations, company policies, and contractual obligations . Assist in resolving documentation-related queries from employees and clients. Qualifications: 3+ years in Sales Enablement, Sales Operations, or Program Management . Experience in sales enablement content creation and process optimization . Strong knowledge of B2B sales processes, compliance, and CRM systems . Excellent written and oral communication skills for effective stakeholder coordination. Strong leadership, coordination, and project management skills . Ability to work in the US Shift North America Team . Role & responsibilities

Role: Senior / Lead Data Scientist Experience: 6 - 8 years Qualification: BE/B.Tech Location: Chennai Employment: Full-time Responsibilities Engage with clients to understand business problems and come up with approaches to solve them. Ability to articulate Analytics/Data Science solutions to clients. Guide, mentor, and coach junior team members. An ideal candidate would have the following skill sets. Good understanding of statistical and data mining techniques. Hands-on Experience in building Machine Learning models in Python. Ability to collect, clean, and engineer large amounts of data using SQL/PySpark techniques. Data analysis and visualization skills to bring out valuable insights from data. Experience working in at least one of the cloud platforms preferred: Azure, AWS, or GCP. It is good to have a working knowledge of Large Language Models (LLMs)

Role: Business Analyst (AIML) Experience: 4 - 6 Years Qualification: B.E / B.Tech / MBA Location: Chennai - Hybrid Employment: Full-time We are looking for an experienced Business Analyst for our AI/ML team, with 4+ years of experience to join our dynamic team. The ideal candidate will play a critical role in bridging the gap between our business objectives and the technical capabilities of our data scientists. You will collaborate closely with stakeholders to understand their needs, translate them into actionable insights, and work with the AI/ML team to develop solutions that drive business growth and efficiency. Responsibilities Conducting meetings with Clients & stakeholders to identify business requirements Document detailed requirements specifications and user stories Plan and manage the project life cycle from initiation to closure and Track progress to ensure on-time delivery Prepare reports, documentation, and presentations for clients and stakeholders Present findings and demo solutions to clients as part of project delivery Requirements Proven experience as a business analyst, data analyst, or similar role in IT Industry Good understanding of Machine Learning concepts, Generative AI models, and familiarity with Cloud technology (Azure, GCP, or AWS) Strong analytical skills with the ability to gather, analyze, and interpret complex data sets. Excellent communication and interpersonal skills, with the ability to effectively collaborate with cross-functional teams and stakeholders. Experience with data visualization tools such as Tableau or Power BI.

We are seeking a React.js Developer / Team Lead to drive the development of scalable web applications, lead a front-end team, and ensure projects align with business goals in a fast-paced environment. An ideal candidate would have the following skill sets: 4+ yrs relevant experience Strong experience with ReactJS and NextJS Proficient in TypeScript Experience with Redux for state management Familiarity with test cases (Jest or similar testing frameworks) Ability to work independently and contribute to scalable front-end architecture Solid Project Experience Good understanding of front-end best practices.

Job Title: Azure Solutions Architect Location: Chennai (On-site) Experience: 8 - 10 years Employment Type: Full-Time About the Role We are seeking a highly skilled Senior Azure Data Solutions Architect to design and implement scalable, secure, and efficient data solutions supporting enterprise-wide analytics and business intelligence initiatives. You will lead the architecture of modern data platforms, drive cloud migration, and collaborate with cross-functional teams to deliver robust Azure-based solutions. Key Responsibilities Architect and implement end-to-end data solutions using Azure services (Data Factory, Databricks, Data Lake, Synapse, Cosmos DB Design robust and scalable data models, including relational, dimensional, and NoSQL schemas. Develop and optimize ETL/ELT pipelines and data lakes using Azure Data Factory, Databricks, and open formats such as Delta and Iceberg. Integrate data governance, quality, and security best practices into all architecture designs. Support analytics and machine learning initiatives through structured data pipelines and platforms. Collaborate with data engineers, analysts, data scientists, and business stakeholders to align solutions with business needs. Drive CI/CD integration with Databricks using Azure DevOps and tools like DBT. Monitor system performance, troubleshoot issues, and optimize data infrastructure for efficiency and reliability. Stay current with Azure platform advancements and recommend improvements. Required Skills & Experience • Extensive hands-on experience with Azure services: Data Factory, Databricks, Data Lake, Azure SQL, Cosmos DB, Synapse. • Expertise in data modeling and design (relational, dimensional, NoSQL). • Proven experience with ETL/ELT processes, data lakes, and modern lakehouse architectures. • Proficiency in Python, SQL, Scala, and/or Java. • Strong knowledge of data governance, security, and compliance frameworks. • Experience with CI/CD, Azure DevOps, and infrastructure as code (Terraform or ARM templates). • Familiarity with BI and analytics tools such as Power BI or Tableau. • Excellent communication, collaboration, and stakeholder management skills. • Bachelors degree in Computer Science, Engineering, Information Systems, or related field. Preferred Qualifications • Experience in regulated industries (finance, healthcare, etc.). • Familiarity with data cataloging, metadata management, and machine learning integration. • Leadership experience guiding teams and presenting architectural strategies to leadership. Why Join Us? • Work on cutting-edge cloud data platforms in a collaborative, innovative environment. • Lead strategic data initiatives that impact enterprise-wide decision-making. • Competitive compensation and opportunities for professional growth.

About the Role We are seeking a highly skilled Senior Azure Data Solutions Architect to design and implement scalable, secure, and efficient data solutions supporting enterprise-wide analytics and business intelligence initiatives. You will lead the architecture of modern data platforms, drive cloud migration, and collaborate with cross-functional teams to deliver robust Azure-based solutions. Key Responsibilities Architect and implement end-to-end data solutions using Azure services (Data Factory, Databricks, Data Lake, Synapse, Cosmos DB Design robust and scalable data models, including relational, dimensional, and NoSQL schemas. Develop and optimize ETL/ELT pipelines and data lakes using Azure Data Factory, Databricks, and open formats such as Delta and Iceberg. Integrate data governance, quality, and security best practices into all architecture designs. Support analytics and machine learning initiatives through structured data pipelines and platforms. Collaborate with data engineers, analysts, data scientists, and business stakeholders to align solutions with business needs. Drive CI/CD integration with Databricks using Azure DevOps and tools like DBT. Monitor system performance, troubleshoot issues, and optimize data infrastructure for efficiency and reliability. Stay current with Azure platform advancements and recommend improvements. Required Skills & Experience Extensive hands-on experience with Azure services: Data Factory, Databricks, Data Lake, Azure SQL, Cosmos DB, Synapse. • Expertise in data modeling and design (relational, dimensional, NoSQL). • Proven experience with ETL/ELT processes, data lakes, and modern lakehouse architectures. • Proficiency in Python, SQL, Scala, and/or Java. • Strong knowledge of data governance, security, and compliance frameworks. • Experience with CI/CD, Azure DevOps, and infrastructure as code (Terraform or ARM templates). • Familiarity with BI and analytics tools such as Power BI or Tableau. • Excellent communication, collaboration, and stakeholder management skills. • Bachelors degree in Computer Science, Engineering, Information Systems, or related field. Preferred Qualifications • Experience in regulated industries (finance, healthcare, etc.). • Familiarity with data cataloging, metadata management, and machine learning integration. • Leadership experience guiding teams and presenting architectural strategies to leadership. Why Join Us? • Work on cutting-edge cloud data platforms in a collaborative, innovative environment. • Lead strategic data initiatives that impact enterprise-wide decision-making. • Competitive compensation and opportunities for professional growth.

Required Skills & Qualifications Technical Skills Programming: SQL and Any Server Programming Language (preferably .NET (C#), Python, React etc.,) Data Engineering: ETL, Data Warehousing, Big Data, Azure Data Factory Cloud Technologies: Azure, Azure DevOps, Synapse, Databricks DevOps: CI/CD, Git Data Analysis: Power BI, SQL, Data Visualization *Azure Cloud Certifications Soft Skills Strong leadership & team management Excellent communication & stakeholder engagement Problem-solving & critical thinking Client handling & reporting experience Scrum & Agile methodology expertise Technical Leadership & Development Lead the design, development, and deployment of data engineering solutions using .NET, C#, Python. Guide the team in best coding practices, design patterns, and architectural decisions. Implement and maintain ETL/ELT pipelines for data ingestion, transformation, and storage. Ensure high-quality software through code reviews, testing, and performance optimization. Data Engineering & Analytics Work with structured and unstructured data for reporting and analysis. Build data pipelines and optimize data flows using Azure Data Factory, Synapse, Databricks, or similar tools. Implement data governance, security, and compliance best practices. Analyze and interpret large datasets to provide insights and recommendations. Cloud & DevOps (Azure Expertise) Architect, deploy, and manage Azure cloud-based solutions. Leverage Azure services (Data Factory, Synapse, Functions, Logic Apps, Storage, Key Vault, etc.) for efficient data operations. Implement CI/CD pipelines using Azure DevOps for automated deployments. Monitor and optimize cloud performance, security, and cost efficiency. Agile & Scrum Process Implementation Act as a Scrum Master or Agile Coach, ensuring adherence to Scrum processes. Lead daily stand-ups, sprint planning, backlog grooming, and sprint retrospectives. Ensure timely delivery of project milestones and sprint goals. Foster a collaborative and high-performing team culture. Client & Stakeholder Management Engage with clients, business analysts, and stakeholders to gather requirements and provide updates. Communicate technical concepts in a non-technical manner for decision-makers. Ensure timely delivery of reports, dashboards, and analytics. Address client concerns and provide post-implementation support. Team Management & Mentorship Mentor and train junior engineers in data engineering, programming, and cloud technologies. Promote a culture of continuous learning and innovation within the team. Conduct performance reviews and provide career guidance to team members. Manage resource allocation and ensure optimal team productivity. Reporting & Documentation Develop technical documentation, including design documents, best practices, and user guides. Generate reports on project progress, sprint outcomes, and team performance. Ensure proper documentation of data models, ETL workflows, and cloud architectures.

Role: Data Scientist Experience: 2 - 5 Years Qualification: B.Tech /BE Location: Chennai Employment: Full-time Engage with clients to understand business problems and come up with approaches to solve them. Good communication skills, both verbal and written, to understand data needs and report results Create dashboards & Presentations to tell compelling stories about customers and their business Stay up to date with the latest technology, techniques, and methods in AI & ML An ideal candidate would have the below skill sets. Good understanding of statistical and data mining techniques. Hands-on Experience in building Machine Learning models in Python Ability to collect, clean, and engineer large amounts of data using SQL techniques. Data analysis and visualization skills in Power BI or Tableau to bring out insights from data Good understanding of GPTs/LLMs and its use in the field Experience working in at least one of the cloud platforms preferred: Azure, AWS, or GCP.

Job description Job Title: Lead Data Engineer - Azure | | GeakMinds | Chennai Location: Chennai (On-site) Experience: 5 - 8 years Employment Type: Full-Time About the Role We are seeking a highly skilled Senior Azure Data Solutions Architect to design and implement scalable, secure, and efficient data solutions supporting enterprise-wide analytics and business intelligence initiatives. You will lead the architecture of modern data platforms, drive cloud migration, and collaborate with cross-functional teams to deliver robust Azure-based solutions. Key Responsibilities Architect and implement end-to-end data solutions using Azure services (Data Factory, Databricks, Data Lake, Synapse, Cosmos DB Design robust and scalable data models, including relational, dimensional, and NoSQL schemas. Develop and optimize ETL/ELT pipelines and data lakes using Azure Data Factory, Databricks, and open formats such as Delta and Iceberg. Integrate data governance, quality, and security best practices into all architecture designs. Support analytics and machine learning initiatives through structured data pipelines and platforms. Collaborate with data engineers, analysts, data scientists, and business stakeholders to align solutions with business needs. Drive CI/CD integration with Databricks using Azure DevOps and tools like DBT. Monitor system performance, troubleshoot issues, and optimize data infrastructure for efficiency and reliability. Stay current with Azure platform advancements and recommend improvements. Required Skills & Experience Extensive hands-on experience with Azure services: Data Factory, Databricks, Data Lake, Azure SQL, Cosmos DB, Synapse. • Expertise in data modeling and design (relational, dimensional, NoSQL). • Proven experience with ETL/ELT processes, data lakes, and modern lakehouse architectures. • Proficiency in Python, SQL, Scala, and/or Java. • Strong knowledge of data governance, security, and compliance frameworks. • Experience with CI/CD, Azure DevOps, and infrastructure as code (Terraform or ARM templates). • Familiarity with BI and analytics tools such as Power BI or Tableau. • Excellent communication, collaboration, and stakeholder management skills. • Bachelors degree in Computer Science, Engineering, Information Systems, or related field. Preferred Qualifications • Experience in regulated industries (finance, healthcare, etc.). • Familiarity with data cataloging, metadata management, and machine learning integration. • Leadership experience guiding teams and presenting architectural strategies to leadership. Why Join Us? • Work on cutting-edge cloud data platforms in a collaborative, innovative environment. • Lead strategic data initiatives that impact enterprise-wide decision-making. • Competitive compensation and opportunities for professional growth.

Job description Job Title: Manager Data Engineer - Azure Location: Chennai (On-site) Experience: 8 - 12 years Employment Type: Full-Time About the Role We are seeking a highly skilled Senior Azure Data Solutions Architect to design and implement scalable, secure, and efficient data solutions supporting enterprise-wide analytics and business intelligence initiatives. You will lead the architecture of modern data platforms, drive cloud migration, and collaborate with cross-functional teams to deliver robust Azure-based solutions. Key Responsibilities Architect and implement end-to-end data solutions using Azure services (Data Factory, Databricks, Data Lake, Synapse, Cosmos DB Design robust and scalable data models, including relational, dimensional, and NoSQL schemas. Develop and optimize ETL/ELT pipelines and data lakes using Azure Data Factory, Databricks, and open formats such as Delta and Iceberg. Integrate data governance, quality, and security best practices into all architecture designs. Support analytics and machine learning initiatives through structured data pipelines and platforms. Collaborate with data engineers, analysts, data scientists, and business stakeholders to align solutions with business needs. Drive CI/CD integration with Databricks using Azure DevOps and tools like DBT. Monitor system performance, troubleshoot issues, and optimize data infrastructure for efficiency and reliability. Stay current with Azure platform advancements and recommend improvements. Required Skills & Experience Extensive hands-on experience with Azure services: Data Factory, Databricks, Data Lake, Azure SQL, Cosmos DB, Synapse. • Expertise in data modeling and design (relational, dimensional, NoSQL). • Proven experience with ETL/ELT processes, data lakes, and modern lakehouse architectures. • Proficiency in Python, SQL, Scala, and/or Java. • Strong knowledge of data governance, security, and compliance frameworks. • Experience with CI/CD, Azure DevOps, and infrastructure as code (Terraform or ARM templates). • Familiarity with BI and analytics tools such as Power BI or Tableau. • Excellent communication, collaboration, and stakeholder management skills. • Bachelors degree in Computer Science, Engineering, Information Systems, or related field. Preferred Qualifications • Experience in regulated industries (finance, healthcare, etc.). • Familiarity with data cataloging, metadata management, and machine learning integration. • Leadership experience guiding teams and presenting architectural strategies to leadership. Why Join Us? • Work on cutting-edge cloud data platforms in a collaborative, innovative environment. • Lead strategic data initiatives that impact enterprise-wide decision-making. • Competitive compensation and opportunities for professional growth.