Cloud Data Engineer
New York City, United States
Applications have closed
Fifty-Five
fifty-five helps brands leverage data and technology to craft future-proof experiences.Part of The Brandtech Group, 55 is a 300+ person global data company that helps brands collect, analyze and activate their data across paid, earned and owned channels to increase their marketing ROI and improve customer acquisition and retention. Headquartered in Paris with offices in New York, London, Geneva, Hong Kong, Taipei, Shenzhen and Shanghai, 55 was named by Deloitte as one of the fastest-growing tech firms in Europe, thanks to its unique blend of consulting mindset and technical expertise. 55 is a top-tier global Google Marketing Platform Sales Partner and a global Google Cloud Platform Marketing Analytics Certified Partner.
About the position:
Digital marketing efficiency requires people who are:
- ready to crunch any data in any condition
- obsessed by data quality
- constantly linking data to the business use case
- familiar with common marketing platforms (Google Marketing Platform, Adobe Analytics, AT internet, etc.) and the digital marketing ecosystem
- always ready to apply the latest AI/ML innovations to get additional uplifts
To be successful in this Engineer role, you will have to be a team player capable of:
- writing and sharing data processing specs
- being fluent in Python and SQL to be able to implement those specs
- understanding and crunching Rest APIs
- proposing cloud and data architecture and discussing with cloud architects
- collaborating and communicating with experts of various disciplines internally and externally (e.g., data scientists, analysts, cloud architects, marketers, business consultants, martech strategists)
Tasks and responsibilities:
Work with 55, our client teams and customers to design the technical architecture in order to enable the implementation of new consumer experience & media use cases, using platforms such as Google Analytics 360 Suite, DoubleClick Suite, Data Management Platforms, Tag Management Solutions, Adobe Marketing & Analytics Clouds, CDPs, AWS, etc.
Work with 55 teams to fully specify data processing pipelines (database schemas, integrity constraints, delivery throughput) for use case activations and implement it in the cloud.
Collaborate with 55's data scientists to scope and check typical machine learning and AI project requirements.
Work with the U.S. consulting team to grow the consultants' knowledge in cloud engineering topics and help them communicate engineering or technical deliverables in ways that clients and stakeholders across disciplines can understand.
Requirements
- Degree in Computer Science or related field
- 3+ years experience in a similar capacity
- Significant experience and certified on public cloud products: GCP Cloud Architect / Data Engineer or equivalent on AWS / Azure. Snowflake experience a plus, but not required.
- Experience on cloud-based projects (as a technical project manager, developer or architect)
- DevOps capabilities (CI/CD, Infrastructure as code, Docker, etc.)
- Experience on leveraging digital data in the cloud for marketing activations
- Great communication skills and at ease with both marketing and IT teams, able to communicate technical requirements to non-technical clients
- Fluent in SQL and Python
- (Nice to have) Experience with Jupyter Notebooks
Benefits
- Competitive salary range: $95,000- $140,000/yr based on experience
- Generous PTO
- Benefits eligibility upon hire, including medical, dental, vision and 401K
- US headquarters in prime NYC neighborhood- Soho
- Remote setup stipend
- Monthly connectivity stipend
- Travel opportunities
- Professional development
Equal Employment Opportunity
55 US Inc. provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws. This policy applies to all terms and conditions of employment, including recruiting, hiring, placement, promotion.
US work authorization is required for this role. Unfortunately, 55 does not provide visa sponsorship at this time.
Tags: APIs Architecture AWS Azure CI/CD Computer Science Consulting Data management Data quality DevOps Docker Engineering GCP Google Cloud Jupyter Machine Learning Pipelines Python Snowflake SQL
Perks/benefits: Career development Competitive pay Gear Health care
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