Python Developer - Analyst
Description For Python Developer - Analyst
JPMorgan Chase is seeking a Python Developer - Analyst to join our STO team. As a Data Engineer, you'll be a strategic thinker passionate about driving solutions using data. You'll work on mining, interpreting, and cleaning data, uncovering hidden opportunities and creating new visions for the future. The role focuses on collaborating with business partners to deliver efficiency and enhance controls via technology adoption and infrastructure support for Global Finance & Business Management India.
You'll be responsible for developing and maintaining data pipelines in Databricks, writing efficient Python and SQL code for ETL processes, and performing data analysis to derive actionable insights. The role requires strong technical skills in data engineering, including experience with cloud platforms and understanding of machine learning concepts.
This is an excellent opportunity for a mid-level professional with 3+ years of experience to join one of the world's leading financial institutions. You'll work with cutting-edge technologies while contributing to solutions that impact global finance operations. The role offers exposure to both technical and business aspects of data engineering, with opportunities to work alongside data scientists and business stakeholders.
JPMorgan Chase offers a collaborative environment where you can grow your career while working on meaningful projects. The company's rich history of over 200 years combined with its commitment to innovation makes it an ideal place for technology professionals looking to make an impact in the financial sector.
Responsibilities For Python Developer - Analyst
- Write efficient Python and SQL code to extract, transform, and load (ETL) data from various sources into Databricks
- Perform data analysis and computation to derive actionable insights
- Collaborate with data scientists, analysts, and stakeholders
- Ensure data quality, integrity, and security
- Develop optimized solutions for performance and scalability
- Monitor and troubleshoot data workflows
- Document data engineering processes
- Communicate analytical findings through data visualization
Requirements For Python Developer - Analyst
- Minimum 3 years of experience in data pipeline development
- Experience with Databricks
- Python and SQL programming skills
- Ability to use LLM to build AI solutions
- Data analysis and computation skills
- Knowledge of data quality and security practices
- Experience with cloud platforms (AWS, Azure, GCP)
- Knowledge of machine learning concepts
- Experience with Tableau (preferred)
- Databricks certification (preferred)
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