Data Engineer- SQL/Python (Part Time)

Roles and Responsibilities

• Develop and maintain optimized SQL queries, stored procedures, views, and functions to support business applications and reporting.
• Design, implement, and automate ETL workflows using tools like SSIS, Azure Data Factory, or scripting languages (Python, PowerShell, etc.) for data integration across multiple sources.
• Collaborate with data analysts, BI developers, and business stakeholders to translate business requirements into scalable and maintainable technical solutions.
• Perform query tuning and database performance optimization to ensure high efficiency, low latency, and optimal resource usage.
• Contribute to data modeling and architecture design, ensuring best practices for normalization, indexing, and data integrity.
• Conduct peer reviews and ensure adherence to coding standards, version control, and documentation practices.
• Mentor and guide junior developers, fostering growth in SQL development, performance tuning, and database design principles
  

Preferred Skills:

• Strong proficiency in T-SQL and experience with MS SQL Server or Azure SQL Database or Snowflake preferred.
• Hands-on experience with ETL tools (SSIS, ADF, Talend, Fivetran etc.).
• Good understanding of data warehousing concepts, data modeling (star/snowflake schemas), and performance tuning techniques.
• Familiarity with version control systems (Git, Azure DevOps) and CI/CD for database deployment.
• Experience working in agile or cross-functional teams.