Fusion Practices is a leading IT consultancy delivering HR and finance transformations across financial services, insurance, banking, construction, and the public sector.
Our expertise lies in- Oracle- Cloud- ERP, HR & Payroll.
We have won several awards.
Fusion Practices won the ERP Innovation of the Year award for our GrantsNOW SAAS product.
Additionally, we were finalists for the British Computing Society awards for IT Vendor of the Year and Development Team of the Year.
We also won the Employee of the Year award for one of our team members at ERP Today.
Job- Description
We are looking for a skilled Python- Developer with expertise in Pandas to join our team.
The ideal candidate should have a strong background in- Python- programming, data manipulation, and analytics using Pandas.
You will work on data-driven projects, optimizing data workflows, and building scalable solutions for large datasets.
Key Responsibilities
- Develop, optimize, and maintain- Python-based applications for data processing and analysis.
- Utilize Pandas for data manipulation, cleaning, and transformation.
- Work with large datasets and optimize performance for efficient data handling.
- Collaborate with data engineers, analysts, and other developers to design scalable solutions.
- Implement and optimize ETL (Extract, Transform, Load) processes- using- Python- and Pandas.
- Integrate- Python- applications with databases, APIs, and external data sources.
- Write clean, efficient, and well-documented code following best practices.
- Perform unit testing and debugging to ensure high-quality output.
Required Skills & Qualifications
- Strong proficiency in Python and its libraries (Pandas, NumPy, Matplotlib, Seaborn, etc.
- Hands-on experience in data manipulation, analysis, and transformation using Pandas.
- Knowledge of SQL and working with relational databases (e.g, PostgreSQL, MySQL).
- Experience with ETL pipelines and handling large datasets.
- Understanding of data structures, algorithms, and performance optimization techniques.
- Familiarity with APIs and web scraping (using libraries like Requests, BeautifulSoup).
- Experience with version control systems like Git.
- Ability to work independently and collaboratively in a team environment.
Preferred Qualifications
- Experience with big data technologies (Spark, Dask, etc.)
- Knowledge of cloud platforms (AWS, GCP, Azure) for data processing.
- Exposure to machine learning frameworks (Scikit-learn, TensorFlow, PyTorch) is a plus.
- Understanding of data visualization tools such as Tableau or Power BI.
(ref:hirist.tech)
