Marketing Data Engineer

Job description

For over half a decade, Hudson Manpower has been a trusted partner in delivering specialized talent and technology solutions across IT, Energy, and Engineering industries worldwide. We work closely with startups, mid-sized firms, and Fortune 500 clients to support their digital transformation journeys. Our teams are empowered to bring fresh ideas, shape innovative solutions, and drive meaningful impact for our clients. If you're looking to grow in an environment where your expertise is valued and your voice matters, then Hudson Manpower is the place for you. Join us and collaborate with forward thinking professionals who are passionate about building the future of work.
Job Description:

Designs, codes, tests, and implements data movement pipelines, dashboarding and analytical assets; develops system documentation according to SAFe Agile principles and industry standards.

Design and hands-on development on either vendor or internal applications and interfaces including Azure - Data Factory, Log Analytics, Databricks, Synapse, Power BI, ADLS Gen2, GCP Cloud storage and Big Query

Assist in configuration and administration of marketing platforms (Google Marketing platform, Salesforce MCI, The Trade Desk etc., ADvendio) that the team supports

Build data ingestion into and out of the above listed marketing platforms

Gathers and implements functional and non-functional requirements including performance monitoring, alerting and code management and ensuring alignment with technology best practices and SLAs.

Partnering with all areas of the business to gather requirements for Data and Analytics and designing solutions.

Participate in agile ceremonies and follow agile cadence to build, test and deliver solutions

Driving engagement with ITS Security and Infrastructure teams to ensure secure development and deployment of solutions.

Interfaces with the Product Manager and IT partners at the Program level and within other Release Trains to define and estimate features for agile teams.

Job requirements

Requirements

6+ years industry experience (business application design, development, implementation, and/or solution architecture)

Understanding of architecture practices and execution for large projects / programs.

Experience building and designing data and analytics solutions on enterprise solutions such as Azure - Data Factory, Log Analytics, Databricks, Synapse, Power BI, ADLS Gen2.

Databricks experience is required.

Experience designing data pipelines, ingestion, storage, prep-train, model and serve using above technologies, Automating Azure Workloads, Data quality, Governance/standards, Security and legal compliance in the Azure architecture

Working knowledge of these tools preferred - Google Marketing platform, Salesforce MCI, The Trade Desk etc., ADvendio

Experience with Marketing domain data ingestion and analytics a must

Bachelor’s degree in Computer Science, Computer Information Systems, Business Information Systems, Engineering or related discipline or equivalent work experience and technical training is required.

Excellent written and oral communications skills.

Previous experience in Power BI, Data Modeling, Data Classification and zones, data movement, Data architecture and reporting

Preferred knowledge and experience on Python and API architecture in Azure

Any SAFe certification or training.

Experience with multiple, diverse technical configurations, technologies, and processing environments.

Exceptional interpersonal skills, including teamwork, facilitation, and negotiation

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