Company Description

Zenith is The ROI Agency, we succeed when our clients succeed. We have a simple strategy: motivate our people, deliver great work, and delight our clients. Clients want to work with happy and motivated people. We have a superb Talent team, helping the agency recruit, develop and retain the industry's best talent. We're constantly striving to create a winning culture and we're delighted that 91% of our people would recommend us as a great place to work. We are single mindedly focused on delivering great work. We have a consistent track record of making our clients' communications more effective. Our goal is to achieve commercial marketing success. We don't set out to win awards but see them as a function of great work. Our greatest credential is our client list. Every day we work on challenging business and communication issues, in partnership with great client marketing teams. We are proud to have worked with many of our clients for 10 years or more and are equally proud of our new relationships. To learn more, visit www.zenithmedia.com

Job Description

• Design, develop, validate, implement, and maintain end-to-end data engineering solutions
•  Write application and database code based on business requirements or user stories, architectural requirements, and existing code.
•  Design, develop, and enhance data models.
• Build complex data pipelines, and work to achieve high-quality data ingestion goals.
• Take ownership of complete data life cycle.
• Drive system performance of the data tier and the reliability of data feeds across the enterprise system.
• Modify and improve data engineering processes to handle ever-growing, highly-complex, and diverse data formats, sources, and pipelines.
• As part of the data processing team work on performance tuning and optimization, query optimization, index tuning, caching, buffer tuning, and data archiving strategies.
• Proactively estimate and plan development work, track and report progress, and deliver work on schedule.
• Write ad-hoc queries based on schema knowledge for various application requirements
• Contribute to operational support documentation.
• Participate in weekly on-call rotation.

Qualifications

• Bachelor's degree in information technology, computer science, or related field.
• Solid hands-on experience with Google Cloud services: Storage, BiqQuery, DataProc, DataPrep, DataFlow, DataFusion, DataComposer, Datalab, and DataStudio.
• Active Google Cloud Data Engineer Certification or Active Google Professional Cloud Architect Certification, Python coding, AWS (Redshift, etc.), code based API integration, and CLI experience is a plus
• Excellent communication skills. Ability to speak and write professionally. Ability and comfort with presenting work by phone or within small groups.
• • Excellent customer service skills. Ability to service clients, partners and internal stakeholders by understand their needs, translating those needs into creative solutions, and delivering on those solutions with diligence and a sense of urgency.
• 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: $106,500 - $167,500 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.