Senior Data Engineer

OneMagnify is a global performance marketing organization working at the intersection of brand marketing, technology, and analytics. The Company’s core offerings accelerate business, amplify real-time results, and help set their clients apart from their competitors. OneMagnify partners with clients to design, implement and manage marketing and brand strategies using analytical and predictive data models that provide valuable customer insights to drive higher levels of sales conversion.

OneMagnify’s commitment to employee growth and development extends far beyond typical approaches. We take great pride in fostering an environment where each of our 700+ colleagues can thrive and achieve their personal best. OneMagnify has been recognized as a Top Workplace, Best Workplace and Cool Workplace in the United States for 10 consecutive years and recently was recognized as a Top Workplace in India.

About You

The Senior Data Engineer will be a key collaborator, working cross-functionally with Product Managers, Product Owners, Software Engineers, Data Engineers, Data Architects, Business Stakeholders and analytics users. The ideal candidate possesses extensive experience in the design and operationalization of small and large-scale data solutions, encompassing data lakes, data warehouses, data marts, and analytics platforms on GCP.  We are looking for professionals with a broad technical acumen and a proven ability to strategically combine GCP and third-party technologies to craft the right solutions for cloud deployment.

What you’ll do:

• Work as part of a GCP implementation team from concept to operations, providing deep technical subject matter expertise for successful deployment of Data Platform automation.
• Provide technical guidance, mentorship, and code-level support to the development team.
• Drive effective and efficient delivery, focusing on speed, identifying risks, implementing mitigation/contingency plans and test/compare competing solutions.
• Design and build production data engineering solutions to deliver our pipeline patterns using GCP Services
• Ensure data quality, maintain profiles of data products, monitor system performance

What you’ll need:

• Experience in data engineering pipelines, data warehouse systems,  ETL principles and complex SQL queries
• GCP experience working in Big Data deployments leveraging BigQuery, Google Cloud Storage, Dataflow, Dataproc, Cloud Run
• Python, VS Code, GitHub, Tekton and Terraform to deploy data solutions and products via DAGs with Astronomer and Apache Airflow
• GCP Certification Preferred - Professional Data Engineer or Associate Cloud Engineer
• Experience in Qlik Sense, Looker and Power BI preferred but not required
• Understands data architecture and design independent of the technology
• Experience working with Agile and Lean methodologies
• Experience with Test-Driven Development
• Exposure to AI/LLM
• Problem solving and communication skills and management of multiple stakeholders
• Ability to provide analytic and creative solutions to business problems by deep-dives into data

Benefits

We offer a comprehensive benefits package including medical, dental, 401(k), paid holidays, vacations, and more.

About us

Whether it’s awareness, advocacy, engagement, or efficacy, we move brands forward with work that connects with audiences and delivers results. Through meaningful analytics, engaging communications, and innovative technology solutions, we help clients tackle their most ambitious projects and overcome their biggest challenges.

We are an equal opportunity employer

We believe that innovative ideas and solutions start with unique perspectives. That’s why we’re committed to providing every employee a workplace that’s free of discrimination and intolerance. We’re proud to be an equal opportunity employer and actively search for like-minded people to join our team.

We will ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, to perform job functions, and to receive benefits and privileges of employment. Please contact us to request accommodation.