Data Engineering Leader

7 days ago

Bharatpur, Rajasthan, India beBeeCareer Full time US$ 15,00,000 - US$ 20,00,000
Cloud Data Engineer

About Us

We are a dynamic and innovative organization that empowers convenience retailers with actionable insights through advanced technologies. With a robust, cutting-edge 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 company using modern technologies to solve complex, real-world challenges in data engineering.

Key Responsibilities

  • Design and develop high-performance, scalable data warehousing solutions for large-scale analytics.
  • Architect efficient data models and schema structures (star, snowflake, and hybrid models) to optimize query 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.

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.

What We Offer

  • Exciting Career Growth: Be part of a dynamic and innovative organization defining the future of data engineering.
  • 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% remote position in Bangalore.

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