Responsibilities
- Design and implement cloud-based data solutions using Azure Data Factory.
- Create scalable global data warehouse systems that maintain data integrity, accuracy, and regulatory compliance across international datasets.
- Build and refine automated ETL and ELT workflows using CI/CD practices, leveraging ADF pipelines, data flows, linked services, integration runtimes, and triggers.
- Apply PySpark, Kafka, Kinesis, and Python to transform, clean, and enrich data within Azure Synapse or Databricks platforms.
- Work with multidisciplinary teams to establish data architecture standards, governance policies, and technical best practices.
- Offer technical guidance and mentorship to entry-level data engineers.
- Monitor, optimize, and resolve issues in data pipelines to ensure efficient performance.
- Report directly to the Vice President, Data Engineering Lead.
Compensation
The annual salary range for this role is $113,000 to $182,850. Final placement depends on experience, skills, knowledge, and other legally permissible factors.
Work Arrangement
Remote (Worldwide)
Team
Reports to: Vice President, Data Engineering Lead
Other
- Salary placement is determined by relevant experience, expertise, skills, and other factors allowed by law.
- The company supports equal employment opportunity regardless of race, color, national origin, sex, sexual orientation, gender identity, age, pregnancy, disability, marital status, political affiliation, religion, citizenship, genetic information, veteran status, or other protected characteristics under applicable laws.
- The company is dedicated to offering reasonable accommodations to individuals with disabilities and disabled veterans.
- Applicants needing disability-related assistance to apply should email ApplicantAccommodations@dentsu.com with their accommodation request and contact details.
