What are the responsibilities and job description for the Cloud Data Engineer position at Fifty-Five?
Part of , 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
This role can be located in either New York, NY or Chicago, IL
(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.
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
This role can be located in either New York, NY or Chicago, IL
(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.
Salary : $95,000 - $140,000
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