Lead Data Engineer

Company Description

PubW is a bespoke business unit set up to bring the full power of the Publicis Groupe together to support Walmart’s media and data needs. Through our Power of One model, we put Walmart at the center bringing together specialists in strategy, media investment, data, influencers, commerce, and content delivering a highly connected, purpose-led and collaborative approach for our clients. PubW’s mission is to help Walmart navigate a period of intense change, continually keeping them “one more step ahead”. This means challenging conventions, driving continual progress, and pushing the marketplace to keep Walmart at the forefront of the media industry. Our approach is grounded in using data and technology to connect with real people across the full funnel, ensuring that Walmart’s investment in media is directly contributing to innovative marketing experiences, driving brand and business growth.

Job Description

Responsibilities

• Serve as coding and technical data engineering expert
• Drive agile-based execution of data engineering deliverables
• Design, develop, validate, implement, maintain, monitor, document, and own end-to-end data engineering solutions
• Automate collection, persistence, processing, and reporting of data from internal and external platforms and data sources
• Develop and own API integrations to various external platforms towards getting data daily
• Work across cloud platforms (GCP, AWS, and Azure) and associated services
• Drive with a sense of urgency to meet internal and external stakeholders expectations and timelines
• Follow and enhance data engineering best practices
• Orchestrate a complex ask or requirement into logical set of deliverables
• Pioneer – data accuracy and optimizing data engineering pipelines (e.g. code, queries, schema, processes, infrastructure usage, etc.)
• Collaborate, communicate, and present across teams and meet organizational goals
• Guide and supervise products and processes developed by senior and junior data engineers

Qualifications

• Bachelor's degree in technical field; other fields considered with adequate experience and relevant certifications
• At least 4 plus years of data engineering experience
• SQL and Python expert
• Hands-on data engineering experience working with common cloud platforms (AWS / GCP / Azure) and associated services
• Some experience working with Google Cloud Platform (BiqQuery, Cloud Function, etc.) and AWS (Redshift, Lambda, etc.) is a plus
• Some experience developing API integrations to external platforms for getting data is a plus
• Self-motivated and a self-starter with strong ability to multitask projects/tasks effectively
• Digital media experience, particularly experience working in ad tech industry with a data-centric role is a plus

Additional Information

All your information will be kept confidential according to EEO guidelines.

Compensation Range: $81,500 - $137,500 annually. This is the pay range the Company believes it will pay for this position at the time of this posting. Consistent with applicable law, compensation will be determined based on the skills, qualifications, and experience of the applicant along with the requirements of the position, and the Company reserves the right to modify this pay range at any time. For this role, the Company will offer medical coverage, dental, vision, disability, 401k, and paid time off.