Quant Data Engineer developing Oracle PL/SQL based solutions for risk analytics at Asset Management Technology. Collaborating with teams to optimize database performance and ensuring data quality.
About the role
- Staff Engineer developing innovative data solutions for dentsu's B2B marketing vision. Collaborating using cutting-edge cloud technologies and mentoring engineers in their careers.
Responsibilities
- Lead project initiatives and foster collaboration across teams.
- Mentor and support engineers as they grow in their careers.
- Partner with stakeholders—Product, Data, Design, and Executive teams—to solve technical challenges and strengthen data infrastructure.
- Build and optimize data pipelines and monthly data assets.
- Coordinate with other teams to ensure seamless data sharing.
- Communicate clearly and document processes for both technical and non-technical audiences.
- Research and introduce new technologies, including Snowflake Native App development.
- Use Agile practices and AI tools to deliver features quickly and effectively.
- Apply best practices throughout the development lifecycle: design, implement, test, review, and deploy using CI/CD.
- Participate in quality assurance, automated testing, and on-call support.
- Help onboard clients and collaborate with client solution teams.
- Contribute to a positive, inclusive, and innovative team culture.
Requirements
- A degree in Computer Science, Engineering, Information Systems—or equivalent experience.
- 6+ years of software development experience.
- Strong leadership and collaboration skills.
- Solid understanding of database fundamentals, SQL, and relational/non-relational data models.
- Expertise in Python (Java is a plus).
- Experience with big data platforms (Snowflake preferred).
- Familiarity with Agile development, version control (Git, Bitbucket), and CI/CD pipelines.
- Proficient in Vibe Coding
- Knowledge of containerized environments (Snowpark preferred; Docker is a plus).
- Strong communication skills and attention to detail.
- Experience with cloud technologies (AWS preferred; Azure or GCP also welcome).
- Understanding of data workflows (Airflow, Snowflake streams/tasks) and distributed systems.
- Unix command line and Bash scripting skills are a plus.
Benefits
- Medical, vision, and dental insurance
- Life insurance
- Short-term and long-term disability insurance
- 401k
- Flexible paid time off
- At least 15 paid holidays per year
- Paid sick and safe leave
- Paid parental leave
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