Data Engineer

About the Company:

Our company is dedicated to providing innovative solutions in the data and analytics space. We value collaboration, creativity, and a commitment to excellence.

About the Role:

We are seeking a talented individual to join our team as a Data Engineer. The role involves designing, coding, and implementing data movement pipelines, as well as collaborating with various teams to gather requirements and design solutions.

Responsibilities:

• Design, code, test, and implement data movement pipelines, dashboarding, and analytical assets
• Develop 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)
• Build data ingestion into and out of the above listed marketing platforms
• Gather and implement functional and non-functional requirements including performance monitoring, alerting, and code management
• Partner with all areas of the business to gather requirements for Data and Analytics and design solutions
• Participate in agile ceremonies and follow agile cadence to build, test, and deliver solutions
• Drive engagement with ITS Security and Infrastructure teams to ensure secure development and deployment of solutions
• Interface with the Product Manager and IT partners at the Program level and within other Release Trains to define and estimate features for agile teams

Qualifications:

• 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 plus
• 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

Pay range and compensation package:

Salary and compensation will be commensurate with experience and qualifications.

Equal Opportunity Statement:

We are committed to diversity and inclusivity in all aspects of our company.