Senior Data Engineer – Snowflake, Amazon QuickSight

Job not on LinkedIn

🕒 May 19

Apply Now

Find Similar Remote Jobs

Set Up Email Alert For New Jobs

📊 Check your resume score for this job

Improve your chances of getting an interview by checking your resume score before you apply.

Upload Resume

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

• Design, develop, and optimize scalable **ETL/ELT pipelines** for enterprise data platforms • Build and maintain robust data solutions using **Snowflake, Python, and AWS services** • Develop advanced SQL queries using **CTEs, window functions, query tuning, and performance optimization techniques** • Work with **Snowflake warehouses, tasks, streams, and data pipelines** for efficient data processing • Create and maintain data transformation workflows using **dbt (data build tool)** • Develop reporting datasets and support dashboarding solutions using **Amazon QuickSight** • Perform **data validation, data integrity checks, and root cause analysis** to ensure data accuracy and reliability • Integrate and manage data across platforms including **DynamoDB, S3, AWS Glue, Lambda, and Rockset** • Collaborate with cross-functional teams including analytics, product, and clinical stakeholders to support reporting requirements • Monitor pipeline performance and troubleshoot production data issues

🎯 Requirements

• Strong experience in **SQL** including: • - CTEs • - Window Functions • - Query Optimization • - Performance Tuning • - Hands-on experience with **Snowflake**: • - Warehouses • - Streams • - Tasks • - Data Loading and Optimization • - Experience in **Python** for data processing and pipeline development • - Experience with AWS services: • - AWS Glue • - Lambda • - S3 • - Good knowledge of **dbt (Data Build Tool)** • - Experience in creating dashboards and reports using **Amazon QuickSight** • - Knowledge of **Rockset** analytical engine • - Experience with **DynamoDB** and NoSQL databases • - Basic to intermediate knowledge of **JavaScript**