Posted:8 hours ago|
Platform:
On-site
Full Time
Experience- 4-8 Years Location- Gurgaon Hybrid Mandate Skills- Python and Pandas and Numpy and SQL Notice Period- Immediate to 15 days. Job Summary: We are seeking an experienced Python Developer with strong expertise in data manipulation and backend development using Python, NumPy, Pandas, and SQL . The ideal candidate will have experience working with large datasets and building data-driven solutions. Familiarity with Azure cloud services is a strong plus. Key Responsibilities: · Design, develop, and maintain efficient and scalable backend systems using Python . · Perform advanced data manipulation and analysis using NumPy and Pandas . · Build and optimize SQL queries to extract, transform, and load data from various sources. · Collaborate with cross-functional teams to gather requirements and deliver high-quality solutions. · Ensure data accuracy, consistency, and integrity across pipelines and databases. · Develop automation scripts for data processing and reporting. · (Optional) Leverage Azure cloud services such as Azure Data Factory, Azure SQL, and Blob Storage for cloud-based solutions. Required Skills: · Strong programming skills in Python with hands-on experience in real-world projects. · Proficiency in NumPy and Pandas for numerical and data analysis tasks. · Solid knowledge of SQL and relational database management systems (e.g., PostgreSQL, MySQL, SQL Server). · Experience in building and maintaining data workflows and ETL pipelines. · Good understanding of software development practices and version control tools like Git. · Strong analytical and problem-solving abilities. Good to Have: · Experience with Azure cloud services (e.g., Azure Data Factory, Azure SQL Database, Blob Storage). · Knowledge of RESTful APIs and integration techniques. · Exposure to CI/CD tools and containerization (Docker/Kubernetes). · Familiarity with Agile development methodologies. Educational Qualification: Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field.
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