Data and ML Engineering Solutions

Tiger Analytics

This role requires basic technical knowledge in Cloud Data & AI ecosystems, focusing on Snowflake, Databricks, or Fabric for Data Engineering and ML pipelines.

Last checked on May 22, 2026. We may earn a commission when you click through.

This listing is suitable for newcomers eager to dive into Data Engineering, but seasoned professionals might find it limiting.

✓ Entry-level friendly ✓ Exposure to major Cloud platforms ✓ Strong company reputation

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Data and ML Engineering Solutions

Tiger Analytics

Updated 2 months ago

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Ghaziabad

This listing is suitable for newcomers eager to dive into Data Engineering, but seasoned professionals might find it limiting.

About this role

This role requires basic technical knowledge in Cloud Data & AI ecosystems, focusing on Snowflake, Databricks, or Fabric for Data Engineering and ML pipelines.

About the Company

Tiger Analytics is a leader in data analytics and AI solutions, helping businesses leverage data for informed decision-making.

Key Highlights

✓ Opportunity to work with leading Cloud Data platforms
✓ Focus on enterprise Data Engineering and ML pipelines
✓ Entry-level position ideal for fresh graduates
✓ Hands-on experience with Snowflake and Databricks

💡 Honest Take: While this position is great for entry-level candidates, it may lack the growth opportunities for those with more experience.

Pros

✓ Entry-level friendly
✓ Exposure to major Cloud platforms
✓ Strong company reputation

Cons

✗ Limited experience requirement
✗ No remote work option
✗ May not appeal to seasoned professionals

Best For: Ideal for individuals with a keen interest in data engineering and machine learning.

Watch Out: Consider the lack of remote work and growth potential before applying.

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What Customers Say

Employees appreciate the learning environment but mention limited advancement opportunities.

Expert Review

This role at Tiger Analytics emphasizes foundational knowledge in Cloud Data & AI, specifically leveraging platforms like Snowflake and Databricks. If you're new to the field, this is an excellent starting point to build your technical skills. The position is tailored for individuals eager to learn and grow in a dynamic environment.

That said, it may not suit those with significant experience looking for advanced roles. The absence of remote work options could also be a deal-breaker for many applicants. According to the company’s site, they focus heavily on enterprise-grade solutions, making this role pivotal for understanding how large organizations utilize data.

In summary, while this role offers valuable exposure to vital technologies, potential applicants should weigh their career aspirations carefully. As data science continues to evolve, those in entry-level roles should remain proactive in seeking additional learning opportunities.