Python Developer

Linedata • Financial Software & Embedded Finance • InsurTech • Python • SQL • Seaborn • Matplotlib • 1 month ago
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Salary
≈ $15k – $39k per year (Estimated)
Location
In office (Mumbai)
Seniority
Senior · 5+ years exp

First seen by Alion on Aug 19, 2026.

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Linedata

Linedata is a software company founded in 1998 that publishes applications for asset management, credit and insurance. Its products cover portfolio management, fund administration, loan origination and servicing for financial institutions. Headquartered in Neuilly-sur-Seine, it is listed on Euronext and operates in around twenty countries.
linedata.com • HQ: Neuilly-sur-Seine, France • Business & SME Lending • Financial Services • InsurTech • Financial Software & Embedded Finance • Est. 1998
Tech stack of Linedata

Job Description :

We are looking for a skilled Python developer with hands-on experience in data manipulation and analysis using Pandas. The ideal candidate should have strong problem-solving skills and experience working with large datasets in real-world applications.

Key Responsibilities :

- Write efficient, scalable Python code for data processing and transformation.

- Perform complex data manipulation using Pandas, NumPy, and other scientific libraries.

- Clean, transform, and analyze large volumes of structured and unstructured data.

- Develop scripts and tools to automate workflows.

- Collaborate with data engineers and analysts to optimize data pipelines.

- Participate in code reviews and follow best practices in version control (Git).

Required Skills :

- Strong proficiency in Python, especially with Pandas and NumPy.

- Experience working with data files in formats like CSV, Excel, JSON, and SQL.

- Familiarity with Jupyter Notebooks, API integrations, and data visualization tools (e.g., Matplotlib, Seaborn).

- Experience with SQL queries and relational databases.

- Good understanding of software development lifecycle and version control (Git).

Good to Have :

- Exposure to machine learning libraries (e.g., scikit-learn).

- Experience with cloud platforms (AWS/Azure/GCP) or data lake frameworks.

- Familiarity with Airflow, Spark, or other data orchestration tools.

Skills

Python, Pandas, Numpy, SQL, API Integration, AWS, RDBMS, Apache Airflow

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