Senior Data Engineer, Looker

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September 28

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3Pillar Global

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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.

1001 - 5000 employees

☁️ SaaS

🏢 Enterprise

🤖 Artificial Intelligence

💰 Private Equity Round on 2021-10

📋 Description

• Design, develop, and maintain Looker dashboards and visualizations to meet business needs. • Write and optimize complex SQL queries to extract, transform, and analyze data from large datasets in BigQuery. • Develop and maintain LookML models, explores, views, and dashboards. • Collaborate with stakeholders to gather BI requirements and translate them into technical specifications. • Suggest Cost optimization solutions • Understanding current Data Architecture structure and suggesting the required changes • Ensure data accuracy, consistency, and performance in reporting and analytics solutions. • Monitor Looker performance and optimize LookML models and SQL for efficiency. • Work closely with data engineers and analysts to align on data pipelines and definitions. • Provide training and documentation for end-users on Looker dashboards and data sources. • Follow best practices for data governance, security, and compliance.

🎯 Requirements

• 5+ years of experience as a BI Developer or in a similar role • Strong hands-on experience with Looker and LookML development • Proficient in SQL with a deep understanding of data transformation and analysis • Hands-on experience with Google BigQuery or similar cloud data warehouse solutions • Solid understanding of data modeling concepts (star/snowflake schemas, dimensional modeling) • Experience working with large datasets and performance tuning for BI tools • Excellent communication skills and ability to translate business needs into technical solutions

🏖️ Benefits

• Choose where you work — whether in an office, from home, or a combination (remote-first) • Interviews and onboarding conducted virtually • Career growth and development • Physical and mental wellbeing programs (company spends a whole trimester focused on wellbeing) • Fitness offerings • Mental health plans (country-dependent) • Unlimited PTO • Equal opportunity employer (Intrinsic Dignity)