Data Engineer

Overview

Aquent, a leading talent solutions company, is proud to partner with an innovative global technology company that stands at the forefront of connecting billions of people worldwide. This organization is renowned for its groundbreaking products and services that redefine how we interact, work, and experience the digital world. Driven by a mission to build communities and bring the world closer together, they leverage cutting-edge technology and a culture of relentless innovation to shape the future of digital connectivity.

Are you ready to transform raw data into powerful, actionable insights that directly influence strategic decisions and enhance product understanding across globally used platforms? We are seeking a dynamic individual to step into a pivotal role, where you will architect the very foundation of data infrastructure. This is your chance to build systems that ensure data reliability and accessibility, fueling critical reporting and analytics. If you thrive on solving complex data challenges and are eager to see your work directly impact a global user base, this is an unparalleled opportunity to make a significant difference!

What You’ll Do

• Design, develop, and maintain robust ETL/ELT data pipelines and sophisticated data models to support a wide array of reporting and analytical use cases.
• Craft, debug, and optimize complex SQL queries for efficient data extraction, transformation, validation, and performance tuning.
• Create and manage comprehensive reporting datasets and accompanying documentation, significantly enhancing data reliability and usability across the organization.
• Collaborate closely with diverse internal stakeholders to deeply understand their data requirements and translate them into well-architected, scalable data solutions.
• Implement rigorous data quality checks and proactive monitoring systems to guarantee the accuracy, completeness, and timeliness of all data outputs.
• Provide essential support for ad hoc data analyses and expertly investigate and resolve data-related issues as they arise.

What You’ll Bring

Must-Have Qualifications:

• A minimum of 4 years of hands-on experience as a Data Engineer, BI Engineer, or Analyst within a product- or service-oriented company.
• At least 2 years of experience working extensively with SQL, ETL processes, and reporting, including direct involvement in building or supporting production data pipelines.
• Proficiency in at least one programming language, such as Python or C++.
• Demonstrated experience working with structured datasets, applying data modeling concepts, and navigating analytics/reporting workflows.
• Exceptional communication skills, with a proven ability to clearly document technical processes and articulate complex concepts to diverse audiences.