Senior Snowflake Engineer

Job not on LinkedIn

🔥 50 minutes ago

🇵🇱 Poland – Remote

💵 zł120 - zł150 / hour

⏰ Full Time

🟠 Senior

👷🏻‍♀️ Engineer

👻 Ghost score 0%

What it means: how likely this posting is sitting open without active hiring.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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Spyrosoft

WebsiteLinkedInAll Job Openings

1001 - 5000 employees

Founded 2016

🚘 Automotive

🏥 Healthcare

💼 Consulting

Automotive • Healthcare • Consulting

Spyrosoft is a European technology services and software engineering company that partners with enterprises to deliver digital transformation, custom software, and IT consulting. It provides cloud, AI/ML, embedded and IoT development, cybersecurity, product design, managed services, and staff augmentation, and builds platforms and products such as DebtPro, Allpro, and VoicePro. Spyrosoft serves clients across multiple sectors including automotive, healthcare and life sciences, financial services, geospatial, media and entertainment, robotics and energy, and operates from offices across Europe, the UK, and the US.

📋 Description

• Develop, maintain, and enhance ETL processes within the Snowflake platform • Extend and adjust existing data models and warehouse structures • Monitor, analyze, and improve data quality across the platform • Administer Snowflake environments, including roles, warehouses, and access management • Investigate, troubleshoot, and resolve issues within data pipelines and warehouse solutions • Optimize Snowflake workloads for performance, scalability, and cost efficiency • Collaborate with data engineering teams and stakeholders to deliver reliable data solutions • Support operational excellence and continuous improvement initiatives within the data platform ecosystem

🎯 Requirements

• 5+ years of experience in Data Engineering • Strong hands-on experience with Snowflake in AWS environments • Advanced SQL skills • Solid programming experience in Python • Proven experience developing, maintaining, and optimizing data pipelines • Strong troubleshooting and problem-solving skills • Experience with performance tuning and cost optimization • Knowledge of data warehousing concepts and data modeling • Ability to work effectively in production support and enhancement activities • Experience with Azure services such as Databricks, Synapse, or Fabric (nice to have) • Familiarity with Apache Spark (nice to have) • Experience with CI/CD practices and tools (nice to have) • Knowledge of data governance and data quality frameworks (nice to have) • Experienced in using AI tools in day-to-day workflow (nice to have)