Senior SQL Developer

About PriceEasy

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.

Position Overview

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.

Key Responsibilities

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.

Must-Have Qualifications

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 .

What We Offer

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 .