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 .