11+ Web service QA Jobs in Pune | Web service QA Job openings in Pune

We are looking for a professional in Quality Assurance to join our team.

In this role, you will be responsible for designing and implementing test plans to improve the usability of our products

The QA Tester works with the development team and other QAs to test software functionality, identify errors, and troubleshoot any issues with the software code.

Apply now for the role of QA (Software Tester) at Codebuddy, which is opening doors for skilled, energetic individuals looking to grow exponentially in their careers.

A successful QA (Software Tester) should be hard-working, have a strong working knowledge of software code and testing methodologies, and be a team player.

Responsibilities:

• Designing test plans, scenarios, scripts, and procedures.
• Executing tests on source code.
• Analyzing test results and reporting to the development team.
• Working with the development team to correct bugs and errors.
• Performing routine inspections and quality tests.
• Preparing and implementing quality assurance policies and procedures.
• Identifying and resolving workflow and production issues.
• Ensuring that standards and safety regulations are observed.
• Addressing and discussing issues and proposed solutions with superiors.
• Documenting quality assurance activities and creating audit reports.
• Making recommendations for improvement.
• Creating training materials and operating manuals.

When You Need To Apply (Technical Competency) :

• A Bachelor’s degree in Computer Science, Engineering, or a related field.
• Minimum 3 years experience in QA testing.
• Should have experience or knowledge in Automation testing
• Good working knowledge of test management software, programming languages, and QA methodologies.
• Familiarity with Agile frameworks and regression testing is a plus.
• Ability to document and troubleshoot errors
• Good teamwork and critical thinking skills.
• Excellent data collection and analysis skills.
• Strong attention to detail.

Review Criteria

• Strong Senior Data Engineer profile
• 4+ years of hands-on Data Engineering experience
• Must have experience owning end-to-end data architecture and complex pipelines
• Must have advanced SQL capability (complex queries, large datasets, optimization)
• Must have strong Databricks hands-on experience
• Must be able to architect solutions, troubleshoot complex data issues, and work independently
• Must have Power BI integration experience
• CTC has 80% fixed and 20% variable in their ctc structure

Preferred

• Worked on Call center data, understand nuances of data generated in call centers
• Experience implementing data governance, quality checks, or lineage frameworks
• Experience with orchestration tools (Airflow, ADF, Glue Workflows), Python, Delta Lake, Lakehouse architecture

Job Specific Criteria

• CV Attachment is mandatory
• Are you Comfortable integrating with Power BI datasets?
• We have an alternate Saturdays working. Are you comfortable to WFH on 1st and 4th Saturday?

Role & Responsibilities

We are seeking a highly experienced Senior Data Engineer with strong architectural capability, excellent optimisation skills, and deep hands-on experience in modern data platforms. The ideal candidate will have advanced SQL skills, strong expertise in Databricks, and practical experience working across cloud environments such as AWS and Azure. This role requires end-to-end ownership of complex data engineering initiatives, including architecture design, data governance implementation, and performance optimisation. You will collaborate with cross-functional teams to build scalable, secure, and high-quality data solutions.

Key Responsibilities-

• Lead the design and implementation of scalable data architectures, pipelines, and integration frameworks.
• Develop, optimise, and maintain complex SQL queries, transformations, and Databricks-based data workflows.
• Architect and deliver high-performance ETL/ELT processes across cloud platforms.
• Implement and enforce data governance standards, including data quality, lineage, and access control.
• Partner with analytics, BI (Power BI), and business teams to enable reliable, governed, and high-value data delivery.
• Optimise large-scale data processing, ensuring efficiency, reliability, and cost-effectiveness.
• Monitor, troubleshoot, and continuously improve data pipelines and platform performance.
• Mentor junior engineers and contribute to engineering best practices, standards, and documentation.

Ideal Candidate

• Proven industry experience as a Senior Data Engineer, with ownership of high-complexity projects.
• Advanced SQL skills with experience handling large, complex datasets.
• Strong expertise with Databricks for data engineering workloads.
• Hands-on experience with major cloud platforms — AWS and Azure.
• Deep understanding of data architecture, data modelling, and optimisation techniques.
• Familiarity with BI and reporting environments such as Power BI.
• Strong analytical and problem-solving abilities with a focus on data quality and governance
• Proficiency in python or another programming language in a plus.

Hybrid work mode

(Azure) EDW Experience working in loading Star schema data warehouses using framework

architectures including experience loading type 2 dimensions. Ingesting data from various

sources (Structured and Semi Structured), hands on experience ingesting via APIs to lakehouse architectures.

Key Skills: Azure Databricks, Azure Data Factory, Azure Datalake Gen 2 Storage, SQL (expert),

Python (intermediate), Azure Cloud Services knowledge, data analysis (SQL), data warehousing,documentation – BRD, FRD, user story creation.

About the Role

We’re looking for a passionate Fullstack Product Engineer with a strong JavaScript foundation to work on a high-impact, scalable product. You’ll collaborate closely with product and engineering teams to build intuitive UIs and performant backends using modern technologies.

Responsibilities

• Build and maintain scalable features across the frontend and backend.
• Work with tech stacks like Node.js, React.js, Vue.js, and others.
• Contribute to system design, architecture, and code quality enforcement.
• Follow modern engineering practices including TDD, CI/CD, and live coding evaluations.
• Collaborate in code reviews, performance optimizations, and product iterations.

Required Skills

• 4–6 years of hands-on fullstack development experience.
• Strong command over JavaScript, Node.js, and React.js.
• Solid understanding of REST APIs and/or GraphQL.
• Good grasp of OOP principles, TDD, and writing clean, maintainable code.
• Experience with CI/CD tools like GitHub Actions, GitLab CI, Jenkins, etc.
• Familiarity with HTML, CSS, and frontend performance optimization.

Good to Have

• Exposure to Docker, AWS, Kubernetes, or Terraform.
• Experience in other backend languages or frameworks.
• Experience with microservices and scalable system architectures.

• Act as a bridge between business users and technical teams, translating business requirements into LOANIQ solution designs.
• Gather, analyze, and document detailed functional requirements for new features, system enhancements, and regulatory changes.
• Work closely with development teams to validate LOANIQ configurations, test workflows, and review technical designs.
• Lead or support UAT, coordinate with QA teams, and ensure sign-off from business stakeholders.
• Conduct gap analysis and suggest best practices using LOANIQ's capabilities to improve loan operations.
• Create detailed BRDs, FRDs, process flow diagrams, and user stories aligned with Agile/Scrum methodology.
• Support LOANIQ implementation, upgrades, and version migrations.
• Conduct training, prepare user guides, and provide post-go-live support.

Position: AWS Data Engineer

Experience: 5 to 7 Years

Location: Bengaluru, Pune, Chennai, Mumbai, Gurugram

Work Mode: Hybrid (3 days work from office per week)

Employment Type: Full-time

About the Role:

We are seeking a highly skilled and motivated AWS Data Engineer with 5–7 years of experience in building and optimizing data pipelines, architectures, and data sets. The ideal candidate will have strong experience with AWS services including Glue, Athena, Redshift, Lambda, DMS, RDS, and CloudFormation. You will be responsible for managing the full data lifecycle from ingestion to transformation and storage, ensuring efficiency and performance.

Key Responsibilities:

• Design, develop, and optimize scalable ETL pipelines using AWS Glue, Python/PySpark, and SQL.
• Work extensively with AWS services such as Glue, Athena, Lambda, DMS, RDS, Redshift, CloudFormation, and other serverless technologies.
• Implement and manage data lake and warehouse solutions using AWS Redshift and S3.
• Optimize data models and storage for cost-efficiency and performance.
• Write advanced SQL queries to support complex data analysis and reporting requirements.
• Collaborate with stakeholders to understand data requirements and translate them into scalable solutions.
• Ensure high data quality and integrity across platforms and processes.
• Implement CI/CD pipelines and best practices for infrastructure as code using CloudFormation or similar tools.

Required Skills & Experience:

• Strong hands-on experience with Python or PySpark for data processing.
• Deep knowledge of AWS Glue, Athena, Lambda, Redshift, RDS, DMS, and CloudFormation.
• Proficiency in writing complex SQL queries and optimizing them for performance.
• Familiarity with serverless architectures and AWS best practices.
• Experience in designing and maintaining robust data architectures and data lakes.
• Ability to troubleshoot and resolve data pipeline issues efficiently.
• Strong communication and stakeholder management skills.

•  Experience as a Full Stack Developer or similar role 

  • Familiarity with common stacks
  • Knowledge of multiple front-end languages and libraries (e.g. HTML/ CSS, JavaScript, XML, JSON, jQuery)
  • Knowledge of multiple back-end languages (e.g., C#, Java, Python) and JavaScript frameworks (e.g., Angular, Node.js)
  • Excellent communication and teamwork skills.
  • Great attention to details, Organizational skills, An analytical mind
  • Degree in Computer Science, or relevant field.

  Responsibilities 

  • Work with development teams and product managers to ideate software solutions
  • Design client-side and server-side architecture
  • Build the front-end of applications through appealing visual design
  • Develop and manage well-functioning databases and applications
  • Write effective APIs
  • Test software to ensure responsiveness and efficiency
  • Troubleshoot, debug and upgrade software
  • Create security and data protection settings
  • Build features and applications with a mobile responsive design.