Senior Data Engineer, Snowflake

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🕒 April 21

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3Pillar Global

WebsiteLinkedInAll Job Openings

1001 - 5000 employees

☁️ SaaS

🏢 Enterprise

🤖 Artificial Intelligence

💰 Private Equity Round on 2021-10

SaaS • Enterprise • Artificial Intelligence

3Pillar Global is a modern application strategy, design, and engineering firm that specializes in delivering strategic software development initiatives for various industries. They offer a range of services, including application technology strategy, digital product engineering, data and analytics, and artificial intelligence development. 3Pillar Global focuses on helping organizations transform their bold ideas into breakthrough solutions by leveraging cutting-edge technologies such as generative and multimodal AI. They work with partners and clients across multiple sectors, including healthcare, financial services, insurance, media, and information services, to solve complex technology challenges and deliver high-performing results.

📋 Description

• Steering projects that redefine urban living and drive innovation in healthcare. • Lead a team actively shaping the tech landscape for clients, setting global standards.

🎯 Requirements

• Experience: 5-10 years of experience in data engineering. • Strong exp in Snowflake. • Programming & Scripting: Strong programming skills in Python and Linux Bash for automation and data workflows. • Framework Proficiency: Hands-on experience with Luigi for orchestrating complex data workflows. • Data Processing & Storage: Expertise in Hadoop ecosystem tools and managing SQL databases for data storage and query optimization. • AWS Cloud Services: In-depth knowledge of AWS EC2, S3, RDS, and EMR to deploy and manage data solutions. • Monitoring & Alerting Tools: Familiarity with monitoring solutions for real-time tracking and troubleshooting of data pipelines. • Communication & Leadership: Proven ability to lead projects, communicate with stakeholders, and guide junior team members. • Data Architecture: Experience designing or optimizing data lake solutions. • Security Practices: Understanding of data security practices, data governance, and compliance for secure data processing. • Automation & CI/CD: Familiarity with CI/CD tools to support automation of deployment and testing. • Big Data Technologies: Knowledge of big data processing tools like Spark, Hive, or related AWS services. • Advanced Analytics: Background in analytics or data science to contribute to more data-driven decision-making. • Cross-Functional Collaboration: Experience collaborating with non-technical teams on business goals and technical solutions.