Swiggy Work from Home Jobs; Hiring Data Engineer – Apply Now

Swiggy looking for a highly skilled and experienced Data Engineer to join their team. The ideal candidate will have strong knowledge of database management, data integration, and data transformation, as well as extensive experience with MS SQL Server, SSIS (SQL Server Integration Service), Python programming, and API integration. Swiggy is India’s leading on-demand delivery platform with a tech-first approach to logistics and a solution-first approach to consumer demands. With a presence in 500 cities across India, partnerships with hundreds of thousands of restaurants, an employee base of over 5000, and a 2 lakh+ strong independent fleet of Delivery Executives, they deliver unparalleled convenience driven by continuous innovation.

Name of the Organization: Swiggy

Requisition ID: 14064

Positions: Data Engineer

Location: Remote (Work from Home)

Salary: As per company Norms

Required Skills & Qualifications:

• Bachelor’s degree in computer science, information technology, or related field.
• 2+ years of experience in MS SQL Server, SSIS, Power BI ,and Python programming.
• Extensive experience with T-SQL storage methods, triggers, and cursor operations.
• Demonstrated experience in API integration and handling data from multiple sources.
• Practical experience in developing Google Apps Script and workflows in Google Workspace.
• Experience using SQL Server unit tests to validate code functionality.
• Strong understanding of data modeling, data warehousing, and database design principles. Excellent problem solving skills and attention to detail.
• Strong communication and business skills, with the ability to communicate complex technical issues to non-technical shareholders.
• Ability to work independently and handle multiple tasks simultaneously.
• Skills: MS SQL Server,SSIS,Power BI,Python programming,API integration,Google Apps Script,T-SQLStored Procedures, triggers, cursors, Window Functions.

Responsibilities:

• Design, develop and maintain database solutions using MS SQL Server, with a focus on performance, reliability and security.
• Create and maintain complex ETL (Extract, Transform, Load) systems using SSIS for data integration and business process automation.
• Create and optimize T-SQL storage methods, triggers, and cursors to support data retrieval, manipulation, and integrity checking.
• Write Python scripts for data processing, automation, and integration with APIs and services.
• Work with Google Apps Script to keep productivity running and integrate with Google Workspace services.
• Collaborate with data analysts, data scientists and business stakeholders to understand data needs and deliver high-quality data solutions.
• Implement and maintain SQL Server unit testing to ensure code reliability and performance.
• Monitor database and ETL performance, applying optimizations as needed.
• Implement data validation and correction processes to ensure data integrity and accuracy.
• Document database design, data flows, ETL processing, and API integration.
• Strong knowledge of Microsoft BI Stack.
• Ability to use Power Query, DAX and MQuery for data extraction and transformation.
• Ability to create optimized data modeling, database, and BI solutions.

 

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