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Dentsu

Marketing analytics and digital advertising solutions

Senior Data Engineer

Data EngineeringConfirmed live in the last 24 hours
Full-timeNo salary listedIn-person

About the Job

Requirements

  • Experience building and productionizing big data architectures, pipelines, and data sets.
  • Understanding of big data concepts and patterns, data lakes, lambda architecture, stream processing, data warehousing, and business intelligence.
  • Three to seven years of experience in a Data Engineer role.
  • Advanced Python programming.
  • Experience with other object-oriented, functional, or scripting languages such as Bash, Scala, Java, R, or PowerShell.
  • Experience with data-related services from Azure, AWS, and GCP public clouds.
  • Experience with big data technologies such as Databricks, Fabric, AWS Glue, Snowflake, Dataproc, or BigQuery.
  • Extensive working experience with relational databases such as Microsoft SQL Server, PostgreSQL, or Aurora DB, and NoSQL databases such as DynamoDB, MongoDB, Elasticsearch, or Redis.
  • Experience with streaming technology services such as Kafka, Event Hubs, or Kinesis.
  • Experience with orchestration, compute, and ETL services such as dbt, Airflow, Cloud Composer, AWS Step Functions, AWS Lambda, or Azure Functions.
  • Strong analytical skills for working with structured and unstructured datasets.
  • Ability to build processes supporting data transformation, data structures, metadata, dependency management, and workload management.
  • Experience setting up and using CI/CD automation tools such as Azure DevOps, GitHub Actions, or Jenkins.
  • Precision, organization, communication skills, adaptability, and responsibility for one's work.

Responsibilities

  • Design and implement data ingestion and processing for various data sources using public cloud services.
  • Work with stakeholders to address data-related technical issues and support data infrastructure needs, including optimizing data delivery and redesigning infrastructure for scalability.
  • Collaborate with Business Intelligence consultants to assemble large and complex data sets that meet functional and non-functional business requirements for a data lakehouse.
  • Support machine learning teams in deploying and optimizing AI and machine learning models and other data algorithms.
  • Develop data pipelines that provide actionable insights into marketing automation, customer acquisition, and other key business areas.
  • Use infrastructure as code and CI/CD tools to automate release pipelines.
  • Document data pipelines and logic in Confluence and plan activities using the Agile methodology in Jira.
  • Support pre-sales by proposing technical solutions and providing accurate effort estimates.

Desired Qualifications

  • Experience delivering business intelligence projects using tools such as Power BI, Tableau, or Looker.
  • Understanding of web-tracking frameworks such as Adobe Analytics and Google Analytics.
  • Experience with Salesforce Cloud services.

About the Company

Dentsu

Marketing analytics and digital advertising solutions

Dentsu International is a global marketing and advertising partner that helps brands grow by navigating the digital economy and using data-driven insights. Its services include consumer intelligence to understand customer behavior, digital marketing and advertising to reach audiences, customer experience management (CXM) to improve interactions, and gaming solutions to engage audiences. The company earns revenue through service fees, project work, and long-term contracts with a diverse mix of clients across retail, technology, and entertainment. Its approach combines research and analysis to set industry-focused insights and drive growth, while collaborating across disciplines to deliver integrated marketing solutions. Dentsu also pursues social impact initiatives, promoting inclusion and positive change in the industry and communities.

Company size
10,001+
Company stage
IPO
Headquarters
Tokyo, Japan
Founded
1901

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