Senior Data Engineer

Hyper Lychee Labs

Join Hyper Lychee Labs as a Senior Data Engineer for a Snowflake Data Migration project, utilizing Azure Data Lake, Azure Data Factory, and dbt.

Last checked on September 8, 2026. We may earn a commission when you click through.

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✓ Opportunity to work on a high-profile project ✓ Collaborative team environment ✓ Focus on modern technology stack

Senior Data Engineer

Hyper Lychee Labs

Updated 1 day ago
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Jaipur

This position offers a unique opportunity for seasoned data engineers looking to deepen their expertise in data migration. However, it may not suit those unfamiliar with advanced cloud tools.

About this role

Join Hyper Lychee Labs as a Senior Data Engineer for a Snowflake Data Migration project, utilizing Azure Data Lake, Azure Data Factory, and dbt.

About the Company

Hyper Lychee Labs is an innovative tech company focusing on data solutions and advanced analytics.

Key Highlights

  • Work with Snowflake and Azure Data tools
  • Design and implement data pipelines
  • Collaborate with a skilled team
  • Engage in a cutting-edge migration project

💡 Honest Take: While the role sounds enticing, be prepared for the challenges of managing complex Azure environments. The learning curve can be steep, especially if you're new to Azure Data Factory and dbt.

Pros

  • Opportunity to work on a high-profile project
  • Collaborative team environment
  • Focus on modern technology stack

Cons

  • No disclosed salary range
  • Potentially steep learning curve
  • Limited remote work options

Best For: Data professionals with a strong background in cloud technologies looking for a challenging role in Jaipur.

Watch Out: Be cautious if you lack experience with Azure tools, as the role demands proficiency in a complex tech stack.

Apply for this position

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Expert Review

intricacies of Azure Data tools is no small feat, especially for those new to the ecosystem. Hyper Lychee Labs has a reputation for pushing the envelope in data solutions, but the expectations for this role are high. If you're not already familiar with Azure Data Factory and dbt, you may face a steep learning curve.

The team is known for its collaboration, but the lack of a salary range may raise concerns for applicants. Without clear compensation benchmarks, candidates might feel uncertain about their value in this role. It's essential to clarify this during the interview process.

Remember, this role about technical skills; it's also about problem-solving and adapting to rapid changes in project demands. If you're ready for the challenge, the experience could significantly enhance your career trajectory. For more details, check the official listing at talent.com.

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