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.

We are looking for a skilled and detail-oriented QA Engineer with 5+ years of experience to join our team. The ideal candidate will have strong experience in API automation using JavaScript or TypeScript , excellent communication skills, and a background in banking or financial services domains. Key Responsibilities: Design, develop, and execute automated API test cases using JavaScript or TypeScript Collaborate with development teams to ensure quality at every stage of the software development lifecycle Maintain and enhance existing test frameworks for legacy and modern API stacks Identify, document, and track bugs to resolution Participate in client meetings and provide clear, actionable QA insights Ensure timely delivery of high-quality products in an agile environment Required Skills & Qualifications: Minimum 5 years of experience in quality assurance Strong hands-on experience in API test automation Proficiency with JavaScript or TypeScript for automation scripting Experience in banking or financial services domain is a strong plus Excellent communication and client-facing skills Strong analytical and problem-solving abilities

Key Responsibilities : Architect and implement end-to-end data solutions using Azure services (Data Factory, Databricks, Data Lake, Synapse, Cosmos DB, etc.). 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. Perform data manipulation and analysis using Pandas, NumPy, and related Python libraries Develop and maintain high-performance REST APIs using FastAPI or Flas Ensure data integrity, quality, and availability across various sources Integrate data workflows with application components to support real-time or scheduled processes 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. Communicate technical concepts effectively to non-technical stakeholders 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 lake house architectures. Solid experience with SQL Server or any major RDBMS; ability to write complex queries and stored procedures 3+ years of experience with Azure Data Factory, Azure Databricks, and PySpark Strong programming skills in Python, with solid understanding of Pandas and NumPy Proven experience in building REST APIs Good knowledge of data formats (JSON, Parquet, Avro) and API communication patterns 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. Strong problem-solving skills and attention to performance, scalability, and security Excellent communication skills both written and verbal 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.

Role: Junior Data Scientist Experience: 0 - 1 Year Qualification: BE / B.Tech, BSc, MCA with a minimum of 80% in academics Location: Chennai Employment: Full-time Note : Year of Passing - 2025 Good knowledge of Data Science concepts and Machine Learning modeling. Hands-on experience or Good knowledge of Python. Good Knowledge of writing complex SQL queries. Good to Have: Knowledge of any cloud platforms (Azure, GCP, AWS) Personal Skills: Good team player. Open to learning new and different technologies Excellent Analytical and Problem-Solving Skills. The ideal candidate should have good communication (written and oral)

5+ years of professional DevOps / production operations experience. 3+ years of Cloud Native application delivery experience. Hands-on experience with Kubernetes, CI/CD tools like GitLab, TeamCity. Intimate knowledge of public cloud infrastructures (GCP - Preferred, AWS, Azure). Hands-on experience working on core Cloud services compute, storage, network, virtualization, Identity and Access Management (IAM). Experience in Infrastructure as Code (IaC), to be responsible for building robust platforms using automation. Knowledge of Linux based systems and runtimes. Development experience in one or more programming languages - Python, Terraform, Java, etc. Experience level in Current technology Stack Helm, K8S, Istio, GCP, AWS, GKE, EKS, Terraform, SRE/DevOps practices or equivalent. Experience working with at least 1 or more Cloud Provider automation tools.

7+ years of professional DevOps / production operations experience. 5+ years of Cloud Native application delivery experience. Strong Hands-on experience with CI/CD tools like GitLab, GitHub, Jenkins, etc., Intimate knowledge of public cloud infrastructures (GCP - Preferred, AWS, Azure). Hands-on experience working on core Cloud services Kubernetes, Compute, Storage, Network, Virtualization, Identity and Access Management (IAM). Expert level in Current technology Stack Helm, K8S, Istio, GCP, AWS, GKE, EKS, Terraform, SRE/DevOps practices or equivalent. Strong proven experience in Infrastructure as Code (IaC), to be responsible for building robust platforms using automation. Experience building automation and deploying high quality software with test frameworks and CI/CD, Progressive Delivery. Strong development experience in one or more programming languages - Python, Terraform, Golang, Java, etc. Advanced knowledge of Linux based systems and runtimes. DevOps mindset and familiarity with the concept of Site Reliability Engineering – inherent sense of ownership through the development and deployment lifecycle. You understand what it takes to run mission critical software in production. Ability to prioritize tasks, work independently and work collaboratively in an agile environment.

Position: Senior Python Developer Experience: 5-8 Years Location: Chennai About the Role: We are looking for someone who is passionate about writing clean, high-performance code and is excited by data-driven applications. The ideal candidate will bring strong expertise in Python and modern data processing libraries, with a proven track record of building and scaling backend systems. This role is perfect for someone who is proactive, quick to learn, and thrives in a fast-paced environment. Key Responsibilities: Design, develop, and maintain backend systems and APIs using Python and FastAPI. Work with data-centric libraries like pandas , polars , and numpy to build scalable data pipelines and services. Implement and manage asynchronous task scheduling using FastAPI schedulers or similar tools. Contribute to architectural decisions and mentor junior developers. Participate in code reviews, testing, and good at troubleshooting. Work closely with data teams and business stakeholders to understand requirements and deliver effective solutions. Continuously learn and adapt to new technologies and best practices. Must-Have Qualifications: 5-8 years of professional experience with Python . Proficient in pandas , polars , and numpy . Strong experience building APIs with FastAPI or similar frameworks. Hands-on experience with task scheduling and background job management . Excellent problem-solving and communication skills. A passion for learning and the ability to pick up new technologies quickly. Good to Have: Experience with C# in enterprise environments. Strong knowledge of SQL and experience with relational databases (e.g., PostgreSQL, SQL Server). Familiarity with Docker, data versioning, job orchestration tools, or cloud platforms.

Key Responsibilities : Architect and implement end-to-end data solutions using Azure services (Data Factory, Databricks, Data Lake, Synapse, Cosmos DB, etc.). 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. Develop and maintain high-performance REST APIs using FastAPI or Flask Ensure data integrity, quality, and availability across various sources Integrate data workflows with application components to support real-time or scheduled processes 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. Communicate technical concepts effectively to non-technical stakeholders 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. Solid experience with SQL Server or any major RDBMS; ability to write complex queries and stored procedures 3+ years of experience with Azure Data Factory, Azure Databricks, and PySpark Strong programming skills in Python, with solid understanding of Pandas and NumPy Proven experience in building REST APIs Good knowledge of data formats (JSON, Parquet, Avro) and API communication patterns 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. Strong problem-solving skills and attention to performance, scalability, and security Excellent communication skills both written and verbal 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

Position: C# Developer Experience: 3-4 Years Location: Chennai About the Role: Key Responsibilities: Design, develop, and maintain robust C# Web APIs Build and enhance user interfaces using WPF Collaborate with cross-functional teams to define, design, and deliver new features Write clean, scalable, and maintainable code Troubleshoot and debug applications to optimize performance Participate in code reviews and technical discussions Stay updated with new technologies and propose improvements Requirements: 2 - 5 years of hands-on experience in C# .NET development Strong experience with RESTful Web API development Proficiency in WPF (Windows Presentation Foundation) Solid understanding of object-oriented programming and design patterns Familiarity with version control systems like Git Exposure to CI/CD pipelines and Agile development environments Good verbal and written communication skills in English Strong problem-solving abilities and a growth mindset Good to Have: Experience with TypeScript or front-end technologies (e.g., Angular/React) Familiarity with SQL and database development