India
Not disclosed
On-site
Full Time
Quality Assurance Engineer (1) We are seeking a highly skilled QA engineer to join our team to execute a critical project around Point-of-Sale Data Management and Analytics. The initial term of the contract will be 6 months with the option to extend to another 3 months. The ideal candidate will have a strong background in software testing including smoke testing, unit testing, integration testing, performance testing, etc. We are modernizing our Point-of-Sale (POS) data processing platform with dynamic workflow execution, automated data cleaning, and cloud-native infrastructure. The platform includes: React-based UI for business workflows Python FastAPI backend Workflow automation using Prefect Data ingestion from Excel/CSV (FTP, SharePoint) Key Responsibilities Develop, document, and execute test cases to validate the functionality of the application. Validate Excel/CSV data transformation workflows and integration between frontend, backend, and Prefect workflows Perform functional, integration, regression, and performance testing. Automate test cases using tools such as Selenium, PyTest, or Cypress. Collaborate with developers and stakeholders to define testing strategies and resolve issues. Maintain test scripts and frameworks for automated testing. Ensure high-quality releases by identifying, documenting, and tracking defects in bug tracking tools (e.g., JIRA). Validate workflows, state management, and APIs to ensure system robustness. Qualifications Proficient in testing tools such as Selenium, PyTest, Postman, and JMeter. Strong understanding of RESTful APIs and performance testing tools. Hands-on experience in testing React applications and backend systems developed in Python. Hands-on experience testing Excel/CSV file operations Familiarity with CI/CD pipelines and automated test integration. Basic knowledge of containerized environments (Docker/Kubernetes) and cloud platforms (Azure preferred). Attention to detail and strong analytical skills. Excellent written and verbal communication. Collaborative team player with problem-solving capabilities. Show more Show less
Mumbai, Maharashtra, India
Not disclosed
On-site
Contractual
Quality Assurance Engineer (1) We are seeking a highly skilled QA engineer to join our team to execute a critical project around Point-of-Sale Data Management and Analytics. The initial term of the contract will be 6 months with the option to extend to another 3 months. The ideal candidate will have a strong background in software testing including smoke testing, unit testing, integration testing, performance testing, etc. We are modernizing our Point-of-Sale (POS) data processing platform with dynamic workflow execution, automated data cleaning, and cloud-native infrastructure. The platform includes: React-based UI for business workflows Python FastAPI backend Workflow automation using Prefect Data ingestion from Excel/CSV (FTP, SharePoint) Key Responsibilities Develop, document, and execute test cases to validate the functionality of the application. Validate Excel/CSV data transformation workflows and integration between frontend, backend, and Prefect workflows Perform functional, integration, regression, and performance testing. Automate test cases using tools such as Selenium, PyTest, or Cypress. Collaborate with developers and stakeholders to define testing strategies and resolve issues. Maintain test scripts and frameworks for automated testing. Ensure high-quality releases by identifying, documenting, and tracking defects in bug tracking tools (e.g., JIRA). Validate workflows, state management, and APIs to ensure system robustness. Qualifications Proficient in testing tools such as Selenium, PyTest, Postman, and JMeter. Strong understanding of RESTful APIs and performance testing tools. Hands-on experience in testing React applications and backend systems developed in Python. Hands-on experience testing Excel/CSV file operations Familiarity with CI/CD pipelines and automated test integration. Basic knowledge of containerized environments (Docker/Kubernetes) and cloud platforms (Azure preferred). Attention to detail and strong analytical skills. Excellent written and verbal communication. Collaborative team player with problem-solving capabilities. Show more Show less
Mumbai, Maharashtra, India
None Not disclosed
On-site
Full Time
We are looking for a passionate and motivated Junior Python Data Scientist to join our growing data team. This is an excellent opportunity for recent graduates or individuals with up to one year of experience who are eager to apply their Python and data analysis skills to real-world problems. You'll work on meaningful projects involving data preparation, analysis, and machine learning model development under the guidance of experienced data scientists. Key Responsibilities: Clean, transform, and analyze data using Python, pandas, and NumPy Support the development and evaluation of machine learning models using scikit-learn and TensorFlow Conduct statistical analyses to extract insights and identify trends Assist in building data pipelines and automating data processes Communicate findings and present insights in a clear and concise manner Collaborate with cross-functional teams, including data engineers, product managers, and software developers Requirements : 0–1 years of hands-on experience with Python for data analysis or machine learning Familiarity with pandas, NumPy, scikit-learn, and TensorFlow Understanding of core statistical concepts and basic exploratory data analysis (EDA) Knowledge of machine learning models such as linear regression, decision trees, or classification algorithms (academic or project-based exposure is acceptable) Strong problem-solving and analytical thinking skills Good communication and documentation abilities Bachelor’s degree in Computer Science, Data Science, Statistics, Mathematics, or a related field (or currently pursuing) Preferred Qualifications: Completed coursework, certifications, or personal projects related to ML or Data Science Exposure to advanced ML algorithms Exposure to Deep Learning Exposure to version control (e.g., Git), Jupyter notebooks, or cloud environments is a plus Enthusiastic about learning and growing in the data science field
maharashtra
INR Not disclosed
On-site
Full Time
We are seeking a passionate and motivated Junior Python Data Scientist to join our expanding data team. This position offers an excellent opportunity for recent graduates or individuals with up to one year of experience who are enthusiastic about applying their Python and data analysis skills to real-world challenges. As a Junior Python Data Scientist, you will be involved in meaningful projects focused on data preparation, analysis, and the development of machine learning models, all under the guidance of experienced data scientists. Your responsibilities will include cleaning, transforming, and analyzing data utilizing Python, pandas, and NumPy. You will also play a key role in supporting the development and evaluation of machine learning models using tools such as scikit-learn and TensorFlow. Additionally, you will conduct statistical analyses to extract valuable insights and identify trends, as well as contribute to building data pipelines and automating data processes. Communication of findings and presentation of insights in a clear and concise manner will be an essential part of your role. Collaboration with cross-functional teams, including data engineers, product managers, and software developers, is also a key aspect of this position. The ideal candidate for this role should have at least one year of hands-on experience with Python for data analysis or machine learning. Familiarity with pandas, NumPy, scikit-learn, and TensorFlow is required. A solid understanding of core statistical concepts and basic exploratory data analysis (EDA) is essential. Knowledge of machine learning models such as linear regression, decision trees, or classification algorithms is preferred, and exposure to advanced ML algorithms and Deep Learning is a plus. Strong problem-solving and analytical thinking skills, along with good communication and documentation abilities, are also important qualities we are looking for. A Bachelor's degree in Computer Science, Data Science, Statistics, Mathematics, or a related field is required, or currently pursuing one. Preferred qualifications include completed coursework, certifications, or personal projects related to ML or Data Science. Exposure to version control (e.g., Git), Jupyter notebooks, or cloud environments is advantageous. We are looking for candidates who are enthusiastic about learning and growing in the data science field.,
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