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# Python Senior Technical Lead - Data Analysis, SQL

- **Company:** HCL America Inc.
- **Location:** United States
- **Experience:** Expert
- **Salary:** $148,000.0
- **Contract:** Permanent contract
- **Skills:** Data Analysis, Business Process Modeling, Databases, Data Visualization, Database Queries, Python (Programming Language), SQL Stored Procedures, SQL Databases, Data Processing, Scripting
- **Published:** July 2, 2026
- **Apply:** https://www.indeed.com/viewjob?jk=2c44bf50b5773f54

## About the Role

1. Proficient in sql to design and optimize databases, write complex queries, and create stored procedures.
 2. Strong data analysis skills to extract, clean, and analyze data for business insights and decision-making.
 3. Experience in python programming for automation, data manipulation, and scripting tasks.
 4. Knowledge of data visualization tools to present findings in a clear and understandable manner.
 5. Excellent problem-solving abilities and attention to detail to identify and resolve technical issues efficiently.
 6. Strong communication skills to collaborate with team members and stakeholders effectively.

## Description

This position entails leading technical projects in the areas of SQL, data analysis, and Python. The Senior Technical Lead will be responsible for overseeing the development and implementation of technical solutions that leverage SQL databases, perform data analysis, and utilize Python programming for automation and data manipulation tasks.
Key Responsibilities

 1. Lead technical projects involving sql, data analysis, and python from inception to implementation.
 2. Design and develop sql databases, queries, and stored procedures to support various applications.
 3. Conduct data analysis to derive valuable insights and make data driven decisions.
 4. Develop and maintain python scripts to automate tasks and streamline processes.
 5. Collaborate with cross functional teams to integrate technical solutions and ensure compatibility.
 6. Troubleshoot technical issues related to sql databases, data analysis, and python scripts.
 7. Stay updated on emerging technologies and recommend enhancements to existing systems.


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