Swiggy is actively hiring a data engineer and every data science aspirent can apply for this job role
About Company
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, we deliver unparalleled convenience driven by continuous innovation.
Built on the back of robust ML technology and fuelled by terabytes of data processed every day, Swiggy offers a fast, seamless and reliable delivery experience for millions of customers across India.
From starting out as a hyperlocal food delivery service in 2014 to becoming a logistics hub of excellence today, our capabilities result not only in lightning-fast delivery for customers but also in a productive and fulfilling experience for our employees.
With Swiggy’s New Supply and the recent launches of Swiggy Instamart, Swiggy Genie, and Guiltfree, we are consistently making waves in the market, while continually growing the opportunities we offer our people.
Job Overview
We are looking for a highly skilled and experienced Data Engineer to join our 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.
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Swiggy Is Actively Hiring A Data Engineer : Remote Job
Job ID | 14064 |
Job Role | Data Engineer |
Education Qualifications | BE/B.Tech or Other Tech Degree |
Salary Package | 4 to 10 LPA or as per company standards |
Experience | Entry Level |
Job Location | Work From Home |
Last apply date | ASAP |
Attention : Read all criteria carefully and make changes in resume by adding relevent keywords so you will get the interview call otherwise you will loose opportunity.
Responsibility
- 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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Required
- Bachelor’s degree in computer science, information technology, or engineering.
- 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.
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Way of working – Remote : Employees will have the freedom to work remotely all through the year. These employees, who form a large majority, will come together in their base location for a week, once every quarter.
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Apply Here : Swiggy Is Actively Hiring A Data Engineer : Remote Job