Job Description

Company Description

As a Data Engineer on Dentsu\'s Technology Team, you will help us support and innovate on the data aspects of our platforms, including the set of analytics and reporting applications it drives. We firmly believe in the DevOps mentality and are looking for Engineers who not only want to build platforms, but also the tooling and systems that allow us to efficiently test and operate them. You can expect to be hands-on in supporting and debugging our systems, and you will also need to understand how our systems are used to ensure we build what the business needs. As with all our team members, you\'ll be afforded the opportunity to continuously learn, and to practice sharing that expertise with other team members in a variety of structured and informal teaching forums.



RESPONSIBILITIES

Building, Delivering, and Operating Our Platforms

• Working as part of a team to implement solutions that best meet our users\' needs and will be easy to operate.
• Following best practices, leveraging technology and frameworks effectively, and ensuring work fits well into its application/system.
• Monitoring our applications and systems and investigating issues that arise.
• Understanding the impact your work can have on the health of our systems and acting to minimize risks.

• Communicating with Technology Team members to facilitate implementation of your work.
• Presenting materials that help advance and inform the team Leading by Example
• Working with fellow engineers to cover knowledge gaps and identify solutions to problems.
• Demonstrating and modelling proactive and thoughtful identification of issues and opportunities for technical improvements.

• 3+ years of experience in data platform development; demonstrating successful design, build, rollout and ongoing delivery of business-critical applications and data pipelines starting from raw business requirements.
• Non-trivial experience with SQL, data modeling, and RDBMS databases such as Postgres, Microsoft SQL Server, MySQL or Oracle
• Experience with modern data storage, processing/orchestration, and querying tools such as Snowflake, Lambda, S3, EC2, rabbit mq, Athena, Spark RDD, Hive metastore, Airflow or similar (Experience with traditional ETL tools like SSIS a plus), Azure data factory, Azure blob storage, Azure warehouse
• Experience with programming languages like Python, Go, or C
• Knowledge of pragmatic engineering practices like iterative releases, test-driven development, continuous integration, and the use of version control systems (Git/GitHub is our primary system, but experience with others would be helpful too).
• Experience working with semi-structured data in JSON format.
• Working knowledge of Unix-like systems
• Ability to translate business questions and needs into technical projects and specifications.
• BS/MS degree in Computer Science/Engineering or equivalent

• Experiences with containerized environments using Docker or Kubernetes
• Experience with infrastructure as code tools like terraform or CloudFormation.
• Experience with serialization and storage formats (e.g., Avro, Parquet, or ORC)
• Experience with NoSQL data stores such as Redis, MongoDB, or Elasticsearch
• Experience with digital marketing/ad-ops or advertising a plus
• Experience delivering large-scale systems in a 24x7, high availability production environment.
• Experience working in an Agile/Scrum environment.
• Ability to clearly communicate and persuasively present technical data and conclusions in an organized manner to a wide variety of audiences.

Dentsu International