Data Engineer

Advance Auto Parts India (India Innovation Center); Hyderabad; On-site; INR 1,500,000 - 4,000,000; Full time

Job summary

Advance Auto Parts in Hyderabad, India is hiring a Data Engineer to join its technology team. The role focuses on migrating and modernizing data platforms to Google Cloud and AWS, building scalable data pipelines, and ensuring data governance and quality.

You will collaborate with data science and product teams, mentor junior engineers, and help define production-ready data solutions. Candidates should have 4–9 years of Data Engineering experience, strong Python/Java/SQL skills, and cloud

Qualifications

• 4-9 years of Data Engineering and Application development experience.
• Graduate degree in Computer Science or related field.
• Experience with Python, Java, DS&Algo, Spark, SQL, Scala, Snowflake, BigQuery.
• 4-9 years of AWS/GCP and cloud technologies with data platform focus.
• Hands-on experience building large, scaled data pipelines in cloud environments.

Responsibilities

• Migrate and modernize data platforms to Google Cloud-based solutions (GCP/AWS).
• Architect and maintain cloud-based data infrastructure.
• Ensure data security, governance, and compliance.
• Develop and promote best practices for data modeling, processing, and analytics.
• Mentor and guide a team of data engineers.

Skills

Python

Java

DS&Algo

Spark

SQL

Scala

Snowflake

BigQuery

DevOps

Cloud platforms

Education

Bachelor's degree in Computer Science or related field

Tools

Terraform

Palantir Foundry

Kafka

Event Hubs

Job description

Job Description:

Job Title : Data Engineer

Location : Hyderabad, India

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.

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.

Responsibilities

• Help in the migration and modernization of data platforms, moving applications and pipelines to Google Cloud-based solutions.
• Architect and maintain cloud-based data infrastructure leveraging AWS or GCP services.
• Ensure data security and governance, enforcing compliance with industry standards and regulations.
• Develop and promote best practices for data modeling, processing, and analytics.
• Mentor and guide a team of data engineers, fostering a culture of innovation and technical excellence.
• Manage and scale data pipelines from internal and external data sources to support new product launches and ensure high data quality.
• Develop automation and monitoring frameworks to capture key metrics and operational KPIs for pipeline performance.
• Collaborate with internal teams, including data science and product teams, to drive solutioning and proof-of-concept (PoC) discussions.
• Develop and optimize procedures to transition data into production. Define and manage SLAs for data products and operational processes.
• Research and apply state-of-the-art methodologies in data and Platform engineering.
• Create and maintain technical documentation for sharing knowledge.
• Develop reusable packages and libraries to enhance development efficiency.
• Lead and drive the development and optimization of scalable data architectures and pipelines.
• Develop real-time and batch data processing solutions, integrating structured and unstructured data sources.

Required Qualification

• We are looking for a candidate with 4-9 years of experience in Data Engineering and Application development.
• They must have a graduate degree in Computer Science or a related field of study.
• They must have experience with programming languages such as Python, Java & DS&Algo, Spark, SQL, Scala, Snowflake, Big Query.
• 4-9 years of AWS/GCP and Cloud technologies. Experience in data platform engineering, with a focus on cloud transformation and modernization.
• Hands-on experience building large, scaled data pipelines in cloud environments and handling of data in PBs.
• Experience with CI/CD pipeline management in DevOps.
• Experience with Understanding of data governance, security, and compliance best practices.
• Experience working in an Agile development environment.
• Prior experience in migrating applications from legacy platforms to the cloud.
• Knowledge of Terraform or Infrastructure-as-Code (IaC) for cloud resource management.
• Familiarity with Kafka, Event Hubs, or other real-time data streaming solutions.
• Familiarity with Palantir Foundry is good to have Certification with Cloud Technologies (AWS/GCP) is good to have

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.