EDW Data Engineer - INTL

Insight Global; Dunwoody (GA); Sur place; USD 120 000 - 180 000; Plein temps

Résumé du poste

Insight Global is seeking elite Data Engineers to join their Enterprise Data Warehouse team. You will work on legacy redesigns and net-new projects across 12 business units, handling 170PB data in BigQuery and leveraging cutting-edge tools in a centralized data organization for a Fortune 100 retailer.

The role emphasizes systemic thinking, data quality, and the ability to defend technical trade-offs while delivering scalable, robust datasets that perform from day 1 onward.

Qualifications

• Strong SQL and data modeling skills.
• Experience in ETL/BI development.
• Proficiency with GCP and BigQuery.
• Python scripting experience.
• Experience with Dataform and/or DBT for data transformation.
• Ability to think systemically and explain trade-offs.

Responsabilités

• Design and build robust data pipelines for the enterprise data warehouse.
• Collaborate with project/product management and stakeholders to gather requirements and validations.
• Ensure data quality, lineage, and documentation across datasets.
• Mentor peers and promote best practices in data engineering.

Connaissances

SQL

Communication

Systemic thinking

Data modeling

Problem solving

Stakeholder management

Outils

Dataform

DBT

Airflow

BigQuery

GCP

Python

Description du poste

Job Description

Compensation:15 to 25 LPA - Exact compensation may vary based on several factors, including skills, experience, and education.

A Fortune 100 retail client of Insight Global is looking to hire elite Data Engineers to join their Enterprise Data Warehouse Team. This team is responsible for supporting and providing all 12 company business units with the data they need to optimize their BUs and increase efficiency/profitability. This company has a centralized data organization and is Google's largest customer. There are over 200 people that report to this director, and his teams are responsible for working with over 170 petabytes of data within BigQuery. This Data Engineer will be responsible for legacy redesigns, net new projects within all 12 business units, and will be using cutting-edge technology for all of it. The ideal candidate for this role can vary in years of experience but must be able to think systemically about computer science instead of just being able to code. For example, there are a hundred ways to cut code, but these candidates must understand what the trade-offs are of doing it each way and be able to explain why they would decide which way they chose to cut it. We are looking for someone with a growth mindset who is able to reflect on their prior work and think of what they would do differently next time to improve it. The overarching goal of this team is not just build a data set, but to build one that is robust using processes and techniques that will allow to work just as well on day 100 as it would on day 1.

Skills and Requirements

• Strong written + verbal communication (will be asking these resources to work directly with project management, product management, stakeholders to gather requirements, work through testing/validations, etc. They need to be able to drive the project forward, work independently and be okay interacting with end-users and key stakeholders)
• Ability to speak to the outcomes they have driven within their domains through their queries
• SQL expert
• ETL/BI development experience
• GCP
• BigQuery
• Python
• Dataform and/or DBT
• Must be a systemic-thinkerExperience with Airflow for OrchestrationAgentic AI tooling experience

We are a company committed to creating diverse and inclusive environments where people can bring their full, authentic selves to work every day. We are an equal employment opportunity/affirmative action employer that believes everyone matters. Qualified candidates will receive consideration for employment without regard to race, color, ethnicity, religion, sex (including pregnancy), sexual orientation, gender identity and expression, marital status, national origin, ancestry, genetic factors, age, disability, protected veteran status, military or uniformed service member status, or any other status or characteristic protected by applicable laws, regulations, and ordinances. If you need assistance and/or a reasonable accommodation due to a disability during the application or the recruiting process, please send a request to [e-mail].