Senior Data Engineer, Snowflake

🔥 0 minutes ago

🌐 Argentina, Ukraine, +4 more countries – Remote

🇦🇷 Argentina – Remote 🇺🇦 Ukraine – Remote 🇵🇱 Poland – Remote 🇧🇷 Brazil – Remote 🇬🇪 Georgia – Remote 🇨🇴 Colombia – Remote

⏰ Full Time

🟠 Senior

🚰 Data Engineer

👻 Ghost score 10%

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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Solvd, Inc.

WebsiteLinkedInAll Job Openings

501 - 1000 employees

Founded 2010

💼 Consulting

🏥 Healthcare

📦 Logistics

Consulting • Healthcare • Logistics

Solvd, Inc. is a global software engineering and consulting company that delivers comprehensive end-to-end solutions. Founded in 2011, Solvd offers core engineering services, including software development for web and mobile platforms, digital experience and design, data and AI/ML solutions, and cloud platform modernization. The company is an AWS partner and is known for optimizing resources, solving complex problems, and enhancing user satisfaction. Solvd emphasizes innovation and quality assurance, employing over 800 international professionals across 8 offices worldwide. The company prides itself on transforming businesses by providing feature-rich digital products, manual testing, automation, and employing cutting-edge technology solutions. Their proprietary tools like Zebrunner and Carina aid in improving development and QA processes. Solvd operates with a focus on collaboration, top talent cultivation, and customized technical solutions tailored to individual client needs, serving clients across 15 countries.

📋 Description

• Design, develop, and optimize data models and transformation workflows using Snowflake and dbt • Contribute to scalable data architecture covering raw through semantic data layers • Support modernization of Oracle-based ETL and reporting processes • Investigate and address data performance, consistency, and reconciliation challenges • Develop and maintain data processing, transformation, and automation solutions using Python • Participate in solution design discussions and architectural decisions • Support DevOps activities including deployment, configuration, and operational aspects of the data platform • Own assigned technical components and deliverables end to end • Participate in client-facing technical discussions and project meetings • Modernize a data platform for a global financial services client

🎯 Requirements

• Strong hands-on experience with Snowflake, including data transformation, modeling, and performance optimization • Solid understanding of data modeling principles, data architecture, and scalable data solution design • Practical experience with dbt for developing and maintaining data transformation workflows • Proficiency in Python for data engineering, scripting, and automation • Experience with ETL/ELT processes and modern data pipeline development • Familiarity with DevOps practices and containerized environments including Kubernetes • Strong analytical and troubleshooting skills around data quality, performance, and reconciliation • Good communication skills and ability to collaborate directly with client stakeholders • English proficiency sufficient for regular technical discussions with US-based teams • Preferred: Experience with Oracle databases, Oracle ETL, and legacy reporting environments • Preferred: Prior involvement in data platform modernization or migration from Oracle to Snowflake • Preferred: Experience with Power BI and semantic reporting models • Preferred: Snowflake professional certification • Preferred: Experience designing and optimizing analytical data models for enterprise reporting • Preferred: Experience working with distributed, cross-functional engineering teams • Preferred: Background in insurance, reinsurance, or financial services

🏖️ Benefits

• Equal opportunity employer • Continuous learning and professional development • Inclusive environment • Collaboration across continents and cultures • Opportunities to work on real-world AI-driven projects • Occasional business trips to St. Louis, USA (approximately once every three weeks for one to two days)