Python & SQL Developer

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The Python & SQL Developer is responsible for designing, developing, and maintaining backend applications and data solutions using Python and relational databases. The role focuses on building efficient data processing logic, writing optimized SQL queries, and enabling reliable data access for applications, analytics, and reporting. The developer works closely with data engineers, analysts, and application teams to deliver scalable, secure, and high performance solution

Key Responsibilities

Application & Data Development

• Develop, test, and maintain Python based backend applications and scripts.
• Write and optimize complex SQL queries, views, stored procedures, and functions to support application and analytics needs.
• Design and implement data access layers that integrate Python applications with relational databases.
  
  

Database & Performance Management

• Design and maintain relational database schemas ensuring data integrity and performance.
• Optimize query performance through indexing, query tuning, and execution plan analysis.
• Monitor and troubleshoot data processing or application performance issues.
  
  

Data Processing & Automation

• Build data processing and automation workflows using Python for batch and scheduled jobs.
• Support ETL / data ingestion processes and assist with data validation and reconciliation.
  
  

Collaboration & Delivery

• Collaborate with data analysts, data engineers, and business stakeholders to understand requirements and translate them into technical solutions.
• Participate in code reviews and follow coding standards and best practices.
• Create and maintain technical documentation for applications, data models, and workflows.
  
  

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Required Skills & Qualifications

Technical Skills

• Strong proficiency in Python for backend development and data processing.
• Strong hands on experience with SQL (joins, subqueries, window functions, performance tuning).
• Experience with relational databases such as SQL Server, PostgreSQL, MySQL, or Oracle.
• Familiarity with ETL concepts, data pipelines, and structured data processing.
• Experience using version control tools (e.g., Git).
  
  

Preferred / Nice To Have

• Experience with Python frameworks (e.g., Flask, Django) for APIs or services.
• Exposure to data analytics or reporting tools.
• Experience in Agile / DevOps environments. ________________________________________
  
  

Education & Experience

• Bachelor’s degree in Computer Science, Information Technology, Engineering, or equivalent experience