Highlights
Collaborate on cutting-edge projects, migrate applications to Google Cloud, enhance data pipelines.
Description
Job Summary
pWe are seeking a Data Engineer to join our Technology Team, where you will be at the forefront of modernizing and enhancing data platforms. Your role involves migrating applications to Google Cloud-based solutions, ensuring data security and governance, and developing automation frameworks for high-quality data pipelines.
Responsibilities
- Migrate and modernize data platforms to Google Cloud solutions
- Ensure data security and compliance with industry standards
- Develop and scale data pipelines from internal and external sources
- Create technical documentation and reusable packages for development efficiency
- Collaborate with data science and product teams on PoCs and solutioning discussions
Required Skills
- Google Cloud Platform experience
- Data governance and security expertise
- Python programming proficiency
- Experience with Spark and Scala
- CI/CD pipeline management in GCP DevOps
Required Skills Explained
- Experience with Python and Spark for data processing and analysis.
- Expertise in building large, scaled data pipelines using cloud environments like Google Cloud Platform (GCP).
- Familiarity with CI/CD pipeline management for DevOps in GCP.
- Knowledge of data governance, security, and compliance best practices.
- Experience working in an Agile development environment.
- Background supporting data science models in production environments.
- Proficiency in programming languages such as Java & DS&Algo, Spark, and Scala.
- Hands-on experience with AWS and Cloud technologies for data platform engineering.
- Experience migrating applications from legacy platforms to the cloud.
- Familiarity with tools like Kafka, Event Hubs, or other real-time data streaming solutions.
Who is this for
pOur ideal candidate is a driven individual with hands-on experience in data engineering, application development, and cloud technologies. You should thrive in an agile environment and be passionate about modernizing legacy systems.
Why This Job is a Good Opportunity
ulliBe part of disrupting a $150B industry and bringing innovative solutions to customers.liWork in an organization focused on empowering team members through collaboration and professional growth.liJoin a passionate group contributing to key programs that build enterprise capabilities for Advance Auto Parts.liEnjoy a culture that values diversity, fun, and continuous learning.liReceive support from top-down commitment to digital expansion and technology innovation.
Interview Preparation Tips
- Review the job responsibilities carefully and prepare examples of how you have addressed similar challenges in previous roles.
- Prominently display your experience with Python, Spark, and other relevant technologies during the interview process.
- Discuss your understanding of data governance, security, and compliance best practices.
- Showcase your ability to work effectively in an Agile environment by providing specific examples.
- Prepare questions about the team's current projects and future plans to demonstrate your interest in the role.
Career Growth in This Role
pThe role offers significant opportunities for professional growth within a merit-based organization. You can expect continuous learning through access to the latest tools, platforms, and technologies. There are chances to advance into more complex data engineering projects or leadership positions as you gain experience. The culture of collaboration and innovation encourages skill development and contribution to cutting-edge initiatives.
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Skills
Frequently Asked Questions
What kind of projects will I be working on?You’ll work on migrating applications to Google Cloud, developing data pipelines, and enhancing data security.
What are the requirements for this role?Experience in cloud technologies, Python, Spark, and CI/CD pipeline management is essential.
Is there a specific technology stack I need to know?Yes, you should be proficient in Google Cloud Platform, Python, Spark, and Scala.
