W
Python Developer
WNS Global Services
India₹35,000–₹100,000/mo≈ AED 1.5K-4.4K/moToday
IndiaData Processingdata EngineeringautomationnumpyMatplotlibSQLAzure DevOpsBitbucketPython Programmingdata Pipeline DevelopmentpandasscikitlearnSeabornopenpyxlpyxlsbTensorFlowPyTorchFull Time
Skills Required
PythonSqlAzureGitExcelDevops
Job Description
Job Description As an Analytics professional at WNS (Holdings) Limited, you will be joining the Automation Center of Excellence to design and implement data-driven solutions, automate data engineering workflows, and derive actionable insights from large volumes of data using Python programming.
**Roles and Responsibilities:**
- Develop end-to-end task and workflow automation pipelines using Python across various data sources.
- Transform Excel-based manual processes into automated Python-based processes with strong governance frameworks.
- Possess expertise in Python programming, data pre-processing, data engineering, and automation.
- Utilize libraries such as pandas, numpy, scikit-learn, Matplotlib, Seaborn, openpyxl, pyxlsb, TensorFlow, and PyTorch.
- Adhere to Python coding standards and formatting conventions for maintainable, scalable, and reusable modules.
- Ensure data quality, governance, and compliance with organizational standards.
- Experience with Posit Workbench and Posit Connect is advantageous.
**Tools and Technology Experience:**
- Mandatory experience in Python, SQL, and version control systems like Azure DevOps or Bitbucket.
- Preferred experience in R programming, Posit Workbench, and R Shiny.
- Knowledge of Big Data technologies for processing large data sets is preferred.
- Familiarity with Microsoft Power Platform tools and data visualization techniques is desirable.
**Functional and Other Expertise:**
- 5 to 8 years of experience using Python for end-to-end data pre-processing, transformation, and automation.
- Educational qualification should be BE, B.Tech, MCA, or a Masters degree in Statistics or Mathematics from Tier 1 institutions.
Please note, the company WNS (Holdings) Limited is a leading Business Process Management (BPM) company that collaborates with clients across various industries to co-create digital-led transformational solutions for operational excellence. As an Analytics professional at WNS (Holdings) Limited, you will be joining the Automation Center of Excellence to design and implement data-driven solutions, automate data engineering workflows, and derive actionable insights from large volumes of data using Python programming.
**Roles and Responsibilities:**
- Develop end-to-end task and workflow automation pipelines using Python across various data sources.
- Transform Excel-based manual processes into automated Python-based processes with strong governance frameworks.
- Possess expertise in Python programming, data pre-processing, data engineering, and automation.
- Utilize libraries such as pandas, numpy, scikit-learn, Matplotlib, Seaborn, openpyxl, pyxlsb, TensorFlow, and PyTorch.
- Adhere to Python coding standards and formatting conventions for maintainable, scalable, and reusable modules.
- Ensure data quality, governance, and compliance with organizational standards.
- Experience with Posit Workbench and Posit Connect is advantageous.
**Tools and Technology Experience:**
- Mandatory experience in Python, SQL, and version control systems like Azure DevOps or Bitbucket.
- Preferred experience in R programming, Posit Workbench, and R Shiny.
- Knowledge of Big Data technologies for processing large data sets is preferred.
- Familiarity with Microsoft Power Platform tools and data visualization techniques is desirable.
**Functional and Other Expertise:**
- 5 to 8 years of experience using Python for end-to-end data pre-processing, transformation, and automation.
- Educational qualification should be BE, B.Tech, MCA, or a Masters degree in Statistics or Mathematics from Tier 1 institutions.
Please note, the company WNS (Holdings) Limited is a leading Business Process Management (BPM) company that collaborates with clients across various industries to co-create digital-led transformational solutions for operational excellence.