Description

Develop and maintain Python-based backend applications and data processing workflows while optimizing complex SQL queries and database schemas for performance and integrity.

Responsibilities

• Build and maintain Python backend applications, scripts, and automation workflows for batch and scheduled jobs.
• Design, write, and optimize complex SQL queries, views, stored procedures, and functions to support application and analytics needs.
• Design and maintain relational database schemas, ensuring data integrity and optimizing performance through indexing and query tuning.
• Develop data access layers that integrate Python applications with relational databases and support ETL/data ingestion processes.
• Collaborate with data analysts and engineers to translate requirements into technical solutions, participate in code reviews, and maintain technical documentation.

Required Skills

• 5+ years of strong proficiency in Python for backend development and data processing.
• Strong hands-on experience with SQL, including joins, subqueries, window functions, and 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).
• Bachelor’s degree in Computer Science, Information Technology, Engineering, or equivalent experience.
• Experience working in Agile environments.

Preferred Skills

• Experience with Python frameworks (e.g., Flask, Django) for APIs or services.
• Exposure to data analytics or reporting tools.

Key Skills

Education

Bachelor's degree