Associate Data Engineer

Actively Reviewing the Applications

Advance Auto Parts

India, Telangana, Hyderabad Full-Time On-site

Posted 13 hours ago • Apply by June 15, 2026

Job Description

Job Description

WHO WE ARE 

Come join our Technology Team and start reimagining the future of the automotive aftermarket. We are a highly motivated tech-focused organization, excited to be amid dynamic innovation and transformational change. Driven by Advance’s top-down commitment to empowering our team members, we are focused on delighting our Customers with Care and Speed, through delivery of world class technology solutions and products.  

We value and cultivate our culture by seeking to always be collaborative, intellectually curious, fun, open, and diverse.   You will be a key member of a growing and passionate group focused on collaborating across business and technology resources to drive forward key programs and projects building enterprise capabilities across Advance Auto Parts.  

The Opportunity

Join the AAP team and start reimagining the future of automotive retail. Disrupt the way consumers buy auto parts and take on the industry’s biggest challengers to execute on AAP's top-down commitment to digital expansion. 

As a member of the Advance Auto Parts team, you will have an opportunity to disrupt a $150B auto parts industry to bring better and faster solutions to customers. You will be part of a team helping the company live its mission of “Advancing a World in Motion”. The role is part of a merit-based organization with a culture of professional growth and development, and emphasis on the latest tools, platforms and technologies. 

Job Summary

The candidate shall serve as a strong technical leader in providing guidance and implementing industry best practices for data engineering, modelling, and visualization. The ideal candidate is expected to be proficient in visualization development, Looker Studio Pro, and Google Cloud Platform with extensive experience in implementing end-to-end data solutions and complex reporting systems.

The candidate should have strong analytical and problem-solving skills, be a collaborative team player with the ability to multi-task, be a quick self-learner, and be highly motivated to analyse complex data challenges while articulating business impact through compelling visualizations and insights.

Responsibilities & Duties

Design and build complex reports meeting diverse business requirements.
Create interactive dashboards and self-service analytics capabilities.
Develop KPI frameworks and automated reporting solutions.
Implement advanced analytics features including calculated fields, custom dimensions, and dynamic content.
Write efficient SQL queries for complex data transformations and analysis.
Develop Python applications for data processing, automation, and integration.
Develop comprehensive Power BI solutions as complementary visualization platform.
Design executive-level dashboards and operational reporting systems.
Implement self-service BI capabilities for business users.
Create data storytelling frameworks for effective communication of insights.
Provide technical mentorship and guidance to junior team members.
Collaborate with business stakeholders to understand analytics requirements.
Drive design discussions and solution architecture decisions.
Document technical specifications, data models, and best practices.

Qualifications

Required:
2+ years of hands-on experience with Power BI dashboards and reporting development.
Understanding of data warehousing concepts and dimensional modelling.
Experience creating executive dashboards and operational reports.
Knowledge of BI best practices and data visualization principles.
Flexibility and willingness to learn and adapt to new tools and cloud technologies.
Experience with version control systems (Git) and CI/CD practices.
Bachelor's or higher degree in Engineering, Management, Computer Science, Information Systems, Statistics, or related quantitative field.

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We are an Equal Opportunity Employer and do not discriminate against any employee or applicant for employment because of race, color, sex, age national origin, religion, sexual orientation, gender identity, status as a veteran and basis of disability or any other federal, state or local protected class.