<p>We are looking for a skilled Python Developer to build and optimize data processing pipelines.
</p><p><br/></p><p>The role involves extensive work with Pandas and NumPy for data transformation, cleaning, and numerical computation, along with handling structured data (CSV, Excel, JSON) and databases (SQL).
</p><p><br/></p><p>You'll collaborate with data and business teams to ensure data accuracy, performance, and scalability while maintaining clean, well-documented, and tested code.
</p><p><br/></p><p>Strong problem-solving, analytical, and communication skills are essential.<br/><br/><b>Roles and Responsibilities :</b><br/><br/>- Develop, maintain, and optimize Python scripts and programs for data processing, cleansing, and validation.<br/><br/>- Work extensively with <b>Pandas </b>for data wrangling, aggregation, and transformation.<br/><br/>- Use <b>NumPy</b> for efficient numerical computations and data manipulation.<br/><br/>- Design and implement efficient data pipelines to handle large datasets from multiple sources.<br/><br/>- Collaborate with data analysts, data scientists, and business teams to understand data requirements.<br/><br/>- Ensure code quality, performance optimization, and adherence to best practices.<br/><br/>- Write unit tests and ensure proper error handling and logging.<br/><br/>- Debug and troubleshoot data-related issues, ensuring data accuracy and consistency.<br/><br/>- Document processes, workflows, and data pipelines for future reference.<br/><br/>- Contribute to process improvements and propose new approaches for data handling and performance enhancement.<br/><br/><b>Required Skills & Qualifications:</b><br/><br/>- 3 to 5 years of hands-on experience with Python programming.<br/><br/>- Strong expertise in Pandas for data transformation, cleaning, and validation.<br/><br/>- Proficiency in NumPy for numerical computations.<br/><br/>- Experience working with CSV, Excel, JSON, and other structured data formats.<br/><br/>- Understanding of dataframes, indexing, merging, group-by operations, and time series handling.<br/><br/>- Familiarity with data performance optimization techniques, including vectorization and efficient memory handling.<br/><br/>- Experience working with databases (SQL) for data extraction and processing.<br/><br/>- Strong analytical and problem-solving skills.<br/><br/>- Ability to work both independently and collaboratively within a team.<br/><br/>- Excellent communication and documentation skills.</p> (ref:hirist.tech)