Senior Data Engineer - AWS & Quicksight

While technology is the heart of our business, a global and diverse culture is the heart of our success. We love our people and we take pride in catering them to a culture built on transparency, diversity, integrity, learning and growth. If working in an environment that encourages you to innovate and excel, not just in professional but personal life, interests you- you would enjoy your career with Quantiphi!

About Quantiphi: Quantiphi is an award-winning, AI-First global digital engineering company that helps the world’s leading Fortune 1000 organizations transform bold ideas into measurable business impact. We go beyond building innovative AI technologies - we solve the problems that matter most to our clients. Since our founding in 2013, Quantiphi has built a proven track record of turning complex challenges into meaningful outcomes across industries.

Headquartered in Boston, with more than 4,000 professionals worldwide, we partner with global enterprises to deliver large-scale digital, cloud, and AI-driven transformation.#SolvingWhatMatters. We are an Elite and Premier partner to Google Cloud, AWS, NVIDIA, Snowflake, and other leading technology platforms, and our work has been recognized across the industry, including: - 21 Google Cloud Partner of the Year awards in the past 10 years - 3 AWS AI/ML Partner of the Year awards - 3 NVIDIA Partner of the Year awards - 3 Snowflake Partner of the Year awards - Rated Leaders by Gartner, Forrester, IDC, ISG, Everest Group and other leading analyst firms Quantiphi delivers First-in-class AI solutions across Life Sciences, Healthcare, Banking, Financial Services, CPG, Manufacturing, Energy, High-Tech, Telecommunications, etc., powered by cutting-edge Generative AI and Agentic AI accelerators. We are also proud to be certified as a Great Place to Work - reflecting our commitment to our people and our culture.

For more details, visit: Website or LinkedIn Page Role: Senior Data Engineer Experience Level: 5+ years Employment type:Full Time Location:Remote (USA) Basic

Qualifications

(BQ): - Hands-on experience in building and maintaining scalable and cost-effective data pipelines, data warehouses and data lake using AWS S3, AWS Glue/Amazon EMR, AWS Lambda to ingest data from various sources (e.g., APIs, databases, flat files, etc.). - Expertise in implementing data modeling and data warehousing concepts to create a well-structured analytical layer on top of the data lake, optimized for querying with AWS Redshift and AWS Athena. - Proficiency in SQL (complex joins, window functions, query optimization) and strong programming skills in Python/PySpark for data processing and automation. - Ensure data quality, integrity, and reliability by implementing robust monitoring, alerting, and validation frameworks for all data pipelines. - Solid understanding of data modeling concepts (e.g., star/snowflake schemas, SCD) and data warehousing principles. - Hands-on experience with Amazon QuickSight, with a strong understanding of the latest features and capabilities. - Ability to understand business

Requirements

and translate them into scalable dashboards, including KPIs, tooltips, user interactions, dashboard navigation, personas, access management, and reporting

Requirements

. - Strong experience in: - SPICE optimization - Direct Query - Data blending - Custom visual creation - Calculated fields and parameters - Experience implementing Row-Level Security (RLS) and other security controls within QuickSight. - Ability to independently design, develop, test, and deploy production-grade QuickSight dashboards. - Validate dashboard functionality, KPI calculations, and data accuracy against business

Requirements

. - Experience documenting dashboard design, implementation, testing, validations, and deployment activities. - Ability to optimize queries, datasets, and visualizations for performance and scalability. - Experience developing and maintaining datasets and data models for Amazon QuickSight and other BI platforms. - Ability to gather reporting

Requirements

from business stakeholders and convert them into meaningful dashboards and visualizations. - Strong verbal and written communication skills with the ability to communicate effectively with both business and technical teams. Other

Qualifications

(OQ): - Experience with workflow orchestration tools like AWS Step Functions or Apache Airflow. - Experience managing QuickSight assets, including publishing dashboards, scheduling refreshes, user administration, and access management. - Experience with Tableau or Power BI. - Proven experience migrating dashboards and reports from BI platforms such as Qlik, Tableau, or Power BI to Amazon QuickSight. - Experience monitoring and supporting analytics solutions in AWS environments. What is in it for you: - Join one of the world’s fastest-growing AI-first digital engineering companies and make a real impact at scale. - Lead and collaborate with a high-energy team of talented, driven individuals solving complex, meaningful challenges. - Work with Fortune 500 companies and disruptive innovators in a research-driven environment with 60+ patents. - Stay ahead of the curve by gaining hands-on experience with cutting-edge AI, ML, data, and cloud technologies while continuously upskilling. If you like wild growth and working with happy, enthusiastic over-achievers, you'll enjoy your career with us!

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