Associate Technical Architect - Data Engineering

Company Description

DENTSU CREATIVE is dentsu's global creative network that transforms brands and businesses through the power of Modern Creativity. Widely reputed for its innovative and creative approach to marketing and advertising. Dentsu Creative has won numerous awards for its work, including Cannes Lions agency of the year 2022, D&AD Awards, and Effie Awards, among others. The company's global network of offices allows it to serve clients across industries and geographies, and it has worked with many of the world's leading brands. With its focus on creativity, innovation, and results, Dentsu Creative is a leading player in the advertising and marketing industry.

Job Description

• Design, build, test, and maintain highly scalable data platforms, ensuring that these systems meet business requirements and industry best practices.
• Incorporate new Data Engineering technologies into existing systems, to help move data across systems.
• Create custom data pipelines and solution components that extract, cleanse, transform, move, and aggregate data across various enterprise systems
• Identify potential opportunities for data acquisition and explore new uses for existing data.
• Develop processes and standards for common data models, and data mapping across systems.
• Use a range of ETL tools, Data integration platforms, and underlying languages and tools to integrate disparate data systems effectively.
• Leverage data virtualization technologies for data aggregation and unification from multiple, disparate data sources, without the use of any ETL.
• Recommend ways to improve data reliability, efficiency, and quality.
• Foster collaboration with data architects, modelers, and IT team members on project goals.
• Provide technical leadership and consultation on complex projects involving data management, data virtualization, and unification.

Qualifications

• Bachelor’s/Master’s degree in Computer Science, Data Science, Information Systems, or a related field.
• Minimum of 5 years of experience in a Data Engineering role, with a focus on data management and data pipeline construction.
• Demonstrable experience with Data Engineering solutions, including data aggregation, data transformation, data movement, and data unification strategies.
• Proficiency with Data Lakes built on Cloud Services such as Azure and AWS – e.g., ADLS (Azure Data Lake Storage Gen2),
• Proficiency with cloud platforms, and cloud services, on at least 1 major enterprise cloud (Azure or AWS Cloud)
• Solid exposure to and experience with data virtualization technologies and platforms, particularly the Denodo platform, is highly preferred.
• Proficiency with data orchestration services and data workflow platforms – e.g., Apache Airflow, highly preferred.
• Proficiency in scripting and data intensive languages like SQL, Python, etc.
• Experience with big data frameworks and associated languages / toolsets is nice-to-have