Senior Data Solutions Engineer

7 days ago

Udaipur, Rajasthan, India beBeeAnalytics Full time ₹ 1,50,00,000 - ₹ 2,50,00,000

Join a fast-growing, innovative company that empowers convenience retailers with actionable insights through advanced technologies.

We are seeking a highly experienced Snowflake Engineer who designs, implements, and maintains data warehousing solutions. This individual will be hands-on in query performance tuning, schema design, and advanced SQL engineering.

About the Role

This is a unique opportunity to contribute to the development of a cutting-edge platform. As a Snowflake Engineer, you will work on designing efficient data models and schema structures to optimize performance. You will also build, monitor, and optimize ETL/ELT pipelines leveraging Snowflake's native features.

Main 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.
Requirements

To succeed in this role, you should have:

  • 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.
About Us

We offer a competitive compensation package, excellent career growth opportunities, and a collaborative culture that thrives on technical excellence. If you're passionate about working with cutting-edge technologies and delivering high-performance data solutions, we encourage you to apply.

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