Job Description 6 To 10 years of experience as a Python Developer with a strong portfolio of projects. Bachelors degree in Computer Science, Software Engineering or a related field. In-depth understanding of the Python software development stacks, ecosystems, frameworks and tools such as Numpy, Scipy, Pandas, Dask, spaCy, NLTK, sci-kit-learn and PyTorch. Experience with front-end development using HTML, CSS, and JavaScript. Experience in Gen AI, LanGraph, Launch AI, Open AI, Chat GPT, Mini 4.2,Lamda2 Familiarity with database technologies such as SQL and NoSQL. Excellent problem-solving ability with solid communication and collaboration skills. Preferred skills and qualifications Experience with popular Python frameworks such as Django, Flask or Pyramid. Knowledge of data science and machine learning concepts and tools. A working understanding of cloud platforms such as AWS, Google Cloud or Azure. Contributions to open-source Python projects or active involvement in the Python community. Proficiency with data mining, mathematics, and statistical analysis Advanced experience in pattern recognition and predictive modeling Experience with Excel, PowerPoint, Tableau, SQL, and programming languages (ex: Java/Python, SAS) Ability to work effectively in a dynamic, research-oriented group that has several concurrent projects Qualifications 6 TO 10 years of experience as a Python Developer with a strong portfolio of projects. Bachelors degree in Computer Science, Software Engineering or a related field. In-depth understanding of the Python software development stacks, ecosystems, frameworks and tools such as Numpy, Scipy, Pandas, Dask, spaCy, NLTK, sci-kit-learn and PyTorch. Experience with front-end development using HTML, CSS, and JavaScript. Familiarity with database technologies such as SQL and NoSQL. Excellent problem-solving ability with solid communication and collaboration skills. Preferred skills and qualifications Experience with popular Python frameworks such as Django, Flask or Pyramid. Knowledge of data science and machine learning concepts and tools. A working understanding of cloud platforms such as AWS, Google Cloud or Azure. Contributions to open-source Python projects or active involvement in the Python community. Proficiency with data mining, mathematics, and statistical analysis Advanced experience in pattern recognition and predictive modeling Experience with Excel, PowerPoint, Tableau, SQL, and programming languages (ex: Java/Python, SAS) Ability to work effectively in a dynamic, research-oriented group that has several concurrent projects
Job Description Conduct engaging product demonstrations and technical presentations for prospective clients. Develop and deliver compelling product pitches , aligning solutions with customer pain points. Work closely with the sales team to understand client needs and create tailored solution proposals. Prepare and present solution architectures, workflows, and use cases that address business challenges. Assist in pricing estimation, proposal creation, and RFP responses for enterprise clients. Collaborate with product and engineering teams to align solutions with customer requirements. Act as a trusted advisor to procurement and supply chain professionals, helping them understand the value of digital procurement transformation. Support proof-of-concept (PoC) engagements , addressing technical and functional concerns. Maintain up-to-date knowledge of industry trends, competitor offerings, and procurement best practices . Qualifications 4 to 8 years of experience in Pre-Sales, Solution Consulting, or Business Development in the IT/ITES industry. Strong understanding of SaaS solutions, procurement wor
Job Description Linux: A strong understanding of the Linux operating system, which companies frequently use for cloud development. Cloud engineers should understand the architecture, maintenance, and administration of Linux servers. Networking proficiency: Clear understanding of virtual networks and general network management functions. Knowledge of DevOps: DevOps is a popular framework for cloud engineering, so having a hands-on understanding of DevOps practices can be valuable to employers. Amazon Web Services (AWS) OR Azure DevOps in particular is a sought-after skill by cloud providers. Containerization tools knowledge: Proficiency in containerization tools and understanding of Docker and Kubernetes. Virtualization skills: Insightful knowledge to deploy and run application software on virtual machines. Qualifications Prefer to have at least 8+ years of experience and with the following strong skills on VMware, Servers, Nutanix, ESXI AWS/Azure,Linux Docker/ Docker Files/ Dev Container Kube
Job Description Coordinate/Conduct engaging product demonstrations and technical presentations for prospective clients. Coordinate and deliver compelling product pitches , aligning solutions with customer pain points. Work closely with the sales team to understand client needs and create tailored solution proposals. Coordinate and present solution architectures, workflows, and use cases that address business challenges, if required along with respective solution owner Assist in pricing estimation, proposal creation, and RFP responses for clients. Collaborate with product and engineering teams to align solutions with customer requirements. Support proof-of-concept (PoC) engagements , addressing technical and functional concerns along with internal teams Maintain up-to-date knowledge of industry trends, competitor offerings , and procurement best practices . Qualifications 4 to 8 years of experience in Pre-Sales, Solution Consulting, or Business Development in the IT/ITES industry. Strong understanding of SaaS solutions, procurement wor
We are seeking an experienced Senior AWS / Azure DevOps Engineer to join our team. The successful candidate will be responsible for designing, implementing, and maintaining scalable, secure, and efficient AWS / Azure DevOps environments for our organization. This role will require strong technical expertise in AWS / Azure DevOps, AWS / Azure services, and cloud computing. Key Responsibilities: Design and Implement AWS / Azure DevOps Environments: Design and implement scalable, secure, and efficient AWS / Azure DevOps environments for our organization. Configure and manage AWS / Azure DevOps services, including AWS / Azure Pipelines, AWS / Azure Boards, AWS / Azure Repos, and AWS / Azure Test Plans. Implement continuous integration and continuous deployment (CI/CD) pipelines using AWS / Azure DevOps. Develop and Maintain AWS / Azure Services: Develop and maintain AWS / Azure services, including AWS / Azure Functions, AWS / Azure Logic Apps, and AWS / Azure Storage. Implement AWS / Azure Active Directory (AAD) and AWS / Azure Identity services for authentication and authorization. Develop and maintain AWS / Azure API Management (APIM) services for API security and management. Collaborate with Cross-Functional Teams: Collaborate with cross-functional teams, including development, testing, and operations teams, to ensure seamless integration and deployment of AWS / Azure DevOps environments. Work with development teams to implement CI/CD pipelines and automate testing and deployment processes. Collaborate with operations teams to ensure smooth operation and maintenance of AWS / Azure DevOps environments. Troubleshoot and Resolve Issues: Troubleshoot and resolve issues related to AWS / Azure DevOps environments, including pipeline failures, deployment issues, and security vulnerabilities. Collaborate with development and operations teams to resolve issues and implement fixes. Stay Up-to-Date with Industry Trends: Stay up-to-date with industry trends, best practices, and new features in AWS / Azure DevOps and AWS / Azure services. Participate in training and professional development opportunities to enhance technical skills and knowledge. Requirements: Education: Bachelors degree in Computer Science, Information Technology, or related field. Experience: 6+ years of experience in AWS / Azure DevOps, AWS / Azure services, and cloud computing. 3+ years experience in a senior engineering role, leading teams and projects. Technical Skills: Experience with #.Net or Python Experience with Terraform For Cloud, Datadog, Grafana is a plus Strong expertise in AWS / Azure DevOps, AWS / Azure services, and cloud computing. Experience with AWS / Azure Pipelines, AWS / Azure Boards, AWS / Azure Repos, and AWS / Azure Test Plans. Experience with AWS / Azure Functions, AWS / Azure Logic Apps, and AWS / Azure Storage. Experience with Azure Active Directory (AAD) and Azure Identity services or AWS equivalent Experience with AWS / Azure API Management (APIM) services. Experience with CI/CD pipelines and automation tools. Soft Skills: Strong communication and collaboration skills. Ability to work in a fast-paced environment and prioritize tasks effectively. Strong problem-solving and analytical skills. Preferred Qualifications: Certifications: AWS / Azure DevOps Engineer certification. AWS / Azure Solutions Architect certification. Experience with: AWS / Azure Kubernetes Service (AKS). AWS / Azure Container Instances (ACI). AWS / Azure Service Fabric. AWS / Azure Functions Proxies. AWS / Azure Logic Apps Designer. AWS / Azure Storage Explorer. AWS / Azure Active Directory (AAD) B2C. AWS / Azure Identity services. AWS / Azure API Management (APIM) services.
Job Description 6 To 10 years of experience as a Python Developer with a strong portfolio of projects. Bachelor's degree in Computer Science, Software Engineering or a related field. In-depth understanding of the Python software development stacks, ecosystems, frameworks and tools such as Numpy, Scipy, Pandas, Dask, spaCy, NLTK, sci-kit-learn and PyTorch. Experience with front-end development using HTML, CSS, and JavaScript. Experience in Gen AI, LanGraph, Launch AI, Open AI, Chat GPT, Mini 4.2,Lamda2 Familiarity with database technologies such as SQL and NoSQL. Excellent problem-solving ability with solid communication and collaboration skills. Preferred skills and qualifications Experience with popular Python frameworks such as Django, Flask or Pyramid. Knowledge of data science and machine learning concepts and tools. A working understanding of cloud platforms such as AWS, Google Cloud or Azure. Contributions to open-source Python projects or active involvement in the Python community. Proficiency with data mining, mathematics, and statistical analysis Advanced experience in pattern recognition and predictive modeling Experience with Excel, PowerPoint, Tableau, SQL, and programming languages (ex: Java/Python, SAS) Ability to work effectively in a dynamic, research-oriented group that has several concurrent projects Qualifications 6 TO 10 years of experience as a Python Developer with a strong portfolio of projects. Bachelor's degree in Computer Science, Software Engineering or a related field. In-depth understanding of the Python software development stacks, ecosystems, frameworks and tools such as Numpy, Scipy, Pandas, Dask, spaCy, NLTK, sci-kit-learn and PyTorch. Experience with front-end development using HTML, CSS, and JavaScript. Familiarity with database technologies such as SQL and NoSQL. Excellent problem-solving ability with solid communication and collaboration skills. Preferred skills and qualifications Experience with popular Python frameworks such as Django, Flask or Pyramid. Knowledge of data science and machine learning concepts and tools. A working understanding of cloud platforms such as AWS, Google Cloud or Azure. Contributions to open-source Python projects or active involvement in the Python community. Proficiency with data mining, mathematics, and statistical analysis Advanced experience in pattern recognition and predictive modeling Experience with Excel, PowerPoint, Tableau, SQL, and programming languages (ex: Java/Python, SAS) Ability to work effectively in a dynamic, research-oriented group that has several concurrent projects
Job Description We are looking for a talented Data Engineer to help us build and maintain our data infrastructure. In this role, the candidate will be responsible for designing, implementing, and optimizing data pipelines to support our data-driven initiatives. We are in the middle of migrating our legacy data platform into Azure Data Bricks, Data modelling, Data warehousing. Required Skills 5-8 years as a Data engineer. Strong Hands on Experience in SQL Experience in Data Bricks , modeling skills Has worked on development projects for Data Warehousing Experience with ADF, Data Bricks, SSIS ,ETL Knowledge Familiarity with Azure DevOps & database CI/CD. Knowledge of Power BI is an added advantage Good communication skills Qualifications 5-8 years of experience in building Data Marts / data warehouse / Lakehouse, Data modelling power BI is added Advantage
Linux: A strong understanding of the Linux operating system, which companies frequently use for cloud development. Cloud engineers should understand the architecture, maintenance, and administration of Linux servers. Networking proficiency: Clear understanding of virtual networks and general network management functions. Knowledge of DevOps: DevOps is a popular framework for cloud engineering, so having a hands-on understanding of DevOps practices can be valuable to employers. Amazon Web Services (AWS) OR Azure DevOps in particular is a sought-after skill by cloud providers. Containerization tools knowledge: Proficiency in containerization tools and understanding of Docker and Kubernetes. Virtualization skills: Insightful knowledge to deploy and run application software on virtual machines. Qualifications Prefer to have at least 8+ years of experience and with the following strong skills on VMware, Servers, Nutanix, ESXI AWS/Azure,Linux Docker/ Docker Files/ Dev Container Kubernetes Terraform . Data log analytics, Log data. Good to have Google Cloud Platform (GCP)
Strong expertise in AWS / Azure DevOps, AWS / Azure services, and cloud computing. DevOps is a popular framework for cloud engineering, so having a hands-on understanding of DevOps practices can be valuable to employers. Amazon Web Services (AWS) DevOps in particular is a sought-after skill by cloud providers. Design and Implement AWS/Azure Devops Environment. Implement continuous integration and continuous deployment (CI/CD) pipelines using AWS / Azure DevOps. Experience with Kubernetes ,Terraform ,Docker/ Docker Files/ Dev Container Experience with CI/CD pipelines and automation tools. Troubleshoot and resolve issues related to AWS / Azure DevOps environments, including pipeline failures, deployment issues, and security vulnerabilities. Collaborate with development and operations teams to resolve issues and implement fixes. Stay Up-to-Date with Industry Trends: Stay up-to-date with industry trends, best practices, and new features in AWS / Azure DevOps and AWS / Azure services. Experience with AWS / Azure Pipelines, AWS / Azure Boards, AWS / Azure Repos, and AWS / Azure Test Plans. Aws/Azure, Linux Experience with VMware, Servers, Nutanix, ESXI, Linux GCP is Added Advantage Bachelors degree in Computer Science, Information Technology, or related field. 6+ years of experience in AWS / Azure DevOps, AWS / Azure services. Strong communication and collaboration skills. Ability to work in a fast-paced environment and prioritize tasks effectively. Strong problem-solving and analytical skills.
Job Description Design, implement, and manage CI/CD pipelines. Proficiency with Build, manage, and automate infrastructure provisioning using Terraform, Ansible, phython, or similar Infrastructure-as-Code (IaC) tools. Continuously integrate security into pipelines and perform vulnerability assessments and remediations. Hands-on experience with Containerize applications and services using Docker and manage orchestration via Kubernetes. Collaborate with development and operations teams to troubleshoot deployment issues, optimize performance, security vulnerabilities and resolve infrastructure bottlenecks. Implement automated rollback strategies and improve deployment reliability. Proven experience with monitoring and observability tools like Prometheus, Grafana, Datadog, or CloudWatch. Maintain and monitor cloud environments (AWS, Azure, or GCP) to ensure availability, scalability, and security. Experience with core networking, cloud security practices, and distributed system architecture. Monitor and evaluate emerging trends in DevOps practices, cloud service advancements, and infrastructure automation frameworks to ensure the adoption of modern, scalable solutions. Ensure detailed and accurate documentation of infrastructure components, system operations, and CI/CD pipelines. Hands-on experience with administering and maintaining Linux-based systems. Qualifications Requirements: Bachelors degree in Computer Science, Information Technology, or related field. 6+ years of experience in AWS / Azure DevOps, AWS / Azure services.
Job Description Job Summary: We are seeking an experienced Senior AWS / Azure DevOps Engineer to join our team. The successful candidate will be responsible for designing, implementing, and maintaining scalable, secure, and efficient AWS / Azure DevOps environments for our organization. This role will require strong technical expertise in AWS / Azure DevOps, AWS / Azure services, and cloud computing. Key Responsibilities: Design and Implement AWS / Azure DevOps Environments: Design and implement scalable, secure, and efficient AWS / Azure DevOps environments for our organization. Configure and manage AWS / Azure DevOps services, including AWS / Azure Pipelines, AWS / Azure Boards, AWS / Azure Repos, and AWS / Azure Test Plans. Implement continuous integration and continuous deployment (CI/CD) pipelines using AWS / Azure DevOps. Develop and Maintain AWS / Azure Services: Develop and maintain AWS / Azure services, including AWS / Azure Functions, AWS / Azure Logic Apps, and AWS / Azure Storage. Implement AWS / Azure Active Directory (AAD) and AWS / Azure Identity services for authentication and authorization. Develop and maintain AWS / Azure API Management (APIM) services for API security and management. Collaborate with Cross-Functional Teams: Collaborate with cross-functional teams, including development, testing, and operations teams, to ensure seamless integration and deployment of AWS / Azure DevOps environments. Work with development teams to implement CI/CD pipelines and automate testing and deployment processes. Collaborate with operations teams to ensure smooth operation and maintenance of AWS / Azure DevOps environments. Troubleshoot and Resolve Issues: Troubleshoot and resolve issues related to AWS / Azure DevOps environments, including pipeline failures, deployment issues, and security vulnerabilities. Collaborate with development and operations teams to resolve issues and implement fixes. Stay Up-to-Date with Industry Trends: Stay up-to-date with industry trends, best practices, and new features in AWS / Azure DevOps and AWS / Azure services. Participate in training and professional development opportunities to enhance technical skills and knowledge. Qualifications Requirements: Education: Bachelors degree in Computer Science, Information Technology, or related field. Experience:
Hi Position Title: SRE / DevOps Engineer Experience: 6+ Required Skills AWS/Azure Kubernetes Terraform Docker CI/CD pipeline Work Location: Hyderabad(Full Time) Scheduled Drive Date: 23rd Aug 2025 Work Mode: Work from office Share your resumes at swathi.gudupalli@techvedika.com
Job Description Design, build, and maintain efficient, reusable, and reliable Ruby code Identify bottlenecks and bugs, and devise solutions to these problems Ensure the performance, quality and responsiveness of applications Help maintain code quality, organization and reusability You will also maintain quality and ensure responsiveness of applications. You will collaborate with the rest of the engineering team to develop and launch new features. Qualifications Extensive experience with Ruby on Rails , along with other common libraries such as RSpec, Sidekiq etc. Good understanding of the syntax of Ruby
Job Description Proven experience as a Ruby on Rails developer 5+years depending on role level ) Strong proficiency in Ruby , Rails framework , and OOP principles Solid understanding of SQL and relational databases (PostgreSQL/MySQL) Experience with JavaScript, HTML5, CSS3 (basic front-end integration) Familiarity with version control (Git) Experience with RSpec or other testing frameworks Understanding of RESTful architecture, APIs, and microservices Knowledge of deployment tools (Heroku, AWS, Docker, etc.) is a plus Strong problem-solving skills and ability to work in a team environment
Develop and maintain Kafka-based data pipelines. Collaborate with IT and data teams to design scalable and reliable solutions. Monitor and optimize the performance of Kafka clusters. Troubleshoot and resolve issues related to Kafka and data processing. Ensure data security and compliance with industry standards. Create and maintain documentation for Kafka configurations and processes. Implement best practices for Kafka architecture and operations.
Job Description Position Summary: The QA Tester will play a critical role in ensuring the accuracy, integrity, and reliability of data products and data marts built by the engineering team within Azure SQL and Azure Databricks environments. This individual will be responsible for validating new features, identifying defects, and ensuring system stability through rigorous testing practices including regression, functional, integration, and data validation testing. The ideal candidate brings a strong understanding of QA methodologies and a working knowledge of SQL and modern data platforms, particularly within the Azure ecosystem. This position requires close collaboration with data engineers, business analysts, and product stakeholders. Key Responsibilities: Test Planning and Execution Review technical specifications and data model designs to develop comprehensive test plans and test cases. Execute functional, regression, and integration testing for new data products, transformation logic, and platform enhancements. Validate SQL-based transformations and logic implemented in Azure SQL and Databricks. Data Validation Write SQL queries to validate data transformations, joins, filters, aggregations, and calculations across staging, transformation, and reporting layers. Compare results between source systems and final data products for accuracy and completeness. Ensure data reconciliation and integrity across pipelines and versions. Issue Tracking and Communication Log, document, and track bugs or data anomalies. Collaborate with data engineers and developers to troubleshoot and verify resolution of issues. Proactively raise risks and blockers during test cycles to ensure timely delivery. Regression & Automation Support Maintain regression test cases as data products evolve. Identify repetitive test cases suitable for automation and assist in building out test scripts as needed. Ensure previous features and deliverables continue to work after new releases. Documentation & Collaboration Document test plans, cases, and results clearly for audit and traceability. Participate in Agile/Scrum ceremonies and provide QA status updates. Collaborate with cross-functional teams to ensure product quality at each development stage. Required Skills and Experience Strong SQL skills, with the ability to write complex queries for data validation and reconciliation. Understanding of relational database design, ETL processes, and data modeling concepts. Experience testing data products or platforms built on Azure SQL and/or Databricks. Familiarity with testing concepts such as QA, UAT, regression, exploratory, and post-production deployment testing. Ability to work with datasets of varying complexity, volume, and sensitivity. High attention to detail and ability to detect inconsistencies or inaccuracies in data. Strong written and verbal communication skills for documenting and explaining findings. . Qualifications Preferred Qualifications Prior experience in data platform testing, preferably in financial services or enterprise environments. Familiarity with Azure Data F
Job Description OBIEE Support Analyst Position Overview The OBIEE Support Analyst will be responsible for providing technical and functional support for Oracle Business Intelligence Enterprise Edition (OBIEE) applications. This role involves monitoring, troubleshooting, and resolving issues related to OBIEE reports, dashboards, RPD models, and data sources, ensuring availability, performance, and reliability of the BI environment. Key Responsibilities Application Support o Provide day-to-day support for OBIEE reports, dashboards, and analytics. o Investigate and resolve user-reported incidents and service requests. Development & Maintenance o Assist in the design, development, and deployment of OBIEE reports and dashboards. o Modify existing reports and dashboards based on business requirements. o Maintain and update OBIEE repository (RPD), ensuring data integrity and accuracy. System Administration o Manage OBIEE security, including user roles and permissions. Qualifications Required Skills & Qualifications Strong hands-on experience with OBIEE 12c administration and development. Proficiency in creating and maintaining OBIEE reports, dashboards, RPD models
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