Data Engineer, Snowflake

🕒 September 14

🇮🇳 India – Remote

⏰ Full Time

🟡 Mid-level

🟠 Senior

🚰 Data Engineer

👻 Ghost score 40%

What it means: the chance that no one is really hiring for this job.How to read it: 60% or higher means we think this is a ghost. Lower scores are less of a worry.How we score it: age, reposts, open roles vs team size, how fast jobs close, and whether pay is listed.Fine print: an estimate from public data, not a judgment of the company. Real jobs can score high, so treat it as a hint, not a fact.

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Shuru

WebsiteLinkedInAll Job Openings

51 - 200 employees

Founded 2021

🤖 Artificial Intelligence

🤝 B2B

🏢 Enterprise

Artificial Intelligence • B2B • Enterprise

Shuru is a product, AI, and technology consulting firm that partners with businesses to deliver strategic consulting, full-cycle product and custom software development, and curated engineering team extension. Their AI-native engineering teams build scalable AI applications, data engineering and analytics, cloud/DevOps, and API integrations to modernize systems and accelerate product delivery. Shuru operates globally with a remote-first model and emphasizes high ownership, design thinking, and measurable outcomes for enterprise and startup clients.

📋 Description

• Design and develop scalable data pipelines using Snowflake. • Build and optimize ETL/ELT workflows for structured and semi-structured data. • Develop complex SQL queries, stored procedures, and data models. • Integrate data from APIs, databases, SaaS platforms, and cloud storage. • Optimize Snowflake performance, warehouse usage, and query efficiency. • Implement data quality checks, monitoring, and troubleshooting. • Support data warehousing, reporting, and analytics requirements. • Work with stakeholders to translate business requirements into data solutions.

🎯 Requirements

• 4+ years of experience in Data Engineering. • Strong hands-on experience with Snowflake. • Advanced knowledge of SQL and data warehousing concepts. • Experience with ETL/ELT tools such as dbt, Airflow, Fivetran, Matillion, or similar. • Experience with Python for data processing and automation. • Familiarity with cloud platforms such as AWS, Azure, or GCP. • Understanding of dimensional modelling, data lakes, and data warehouse architecture. • Experience with Snowflake features such as Streams, Tasks, Snowpipe, Time Travel, and clustering is preferred.

🏖️ Benefits

• Competitive salary and benefits package. • Opportunity to work with a team of experienced product and tech leaders. • Continuous learning and development opportunities. • Chance to make a significant impact on diverse and innovative projects.

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