Senior SQL Developer

Join one of the most respected and cutting-edge companies in the pricing and analytics industry PriceEasy, a VC-backed leader, empowers convenience retailers with actionable insights through advanced technologies. With a robust, innovative platform trusted by top companies globally, we are at the forefront of revolutionizing how businesses optimize pricing, analytics, and site selection. This is your chance to contribute to a fast-growing, venture-backed company using modern technologies to solve complex, real-world challenges.

Learn more at priceeasy.com

YOU MUST BE A HANDS-ON, EXCEPTIONAL PROGRAMMER WHO LOVES PROGRAMMING TO BE PART OF THE PRICEEASY TECHNICAL TEAM. WE HAVE NO PLACE FOR MANAGERS WHO DON’T CODE.

We are seeking a highly experienced Snowflake Engineer with deep expertise in building, optimizing, and scaling complex Snowflake queries and data models. In this role, you will design, implement, and maintain data warehousing solutions that form the backbone of PriceEasy’s analytics and intelligence platform. You will be hands-on in query performance tuning, schema design, and advanced SQL engineering—pushing Snowflake to its limits to deliver high-performance, enterprise-grade solutions.

• Design and develop advanced Snowflake SQL queries, stored procedures, and UDFs for large-scale analytics.
• Architect efficient data models and schema structures (star, snowflake, and hybrid models) to optimize performance.
• Build, monitor, and optimize ETL/ELT pipelines leveraging Snowflake’s native features (Snowpipe, Streams, Tasks).
• Conduct deep query performance tuning to handle billions of rows with speed and accuracy.
• Implement and manage role-based security, data masking, and governance within Snowflake.
• Collaborate closely with data engineers, analysts, and product teams to translate requirements into high-performing data solutions.
• Integrate Snowflake with other cloud platforms (AWS S3, Kafka, Redis, etc.) and BI tools.
• Own and maintain best practices for cost optimization, clustering, and partitioning within Snowflake.
• Document architecture, queries, and processes for scalability and knowledge sharing.
• Provide technical mentorship and guidance on Snowflake best practices.

• 5+ years of hands-on experience with Snowflake, including query writing, optimization, and architecture.
• Proven expertise in writing highly complex SQL queries that scale across very large datasets.
• Strong understanding of data warehousing concepts, dimensional modeling, and analytics-driven design.
• Demonstrated success in query performance tuning and cost optimization in Snowflake.
• Proficiency with ETL/ELT workflows, including Snowpipe, Streams, and Tasks.
• Expertise in Python or other programming languages for data transformation and orchestration.
• Solid knowledge of AWS services (S3, Lambda, EC2, Glue, etc.) and integration with Snowflake.
• Familiarity with caching and real-time frameworks such as Redis.
• Strong background in SQL and NoSQL databases, with a focus on analytical workloads.
• Experience implementing CI/CD pipelines for data workflows.
• Excellent problem-solving skills and the ability to push Snowflake to its technical limits.
• Hands-on experience in fast-paced startup or high-growth environments.

• Exciting Career Growth: Be part of a VC-backed company defining the future of pricing and analytics.
• Cutting-Edge Environment: Work with innovators on one of the most advanced platforms in the industry.
• Competitive Compensation: Market-leading salary and benefits aligned with your expertise.
• Collaborative Culture: A hands-on, innovative, and supportive workplace that thrives on technical excellence.

📍 Location: This is a 100% work-from-office position in Bangalore.