PIMCO is looking to solve real-world business problems in the investment management domain by maintaining their data engineering platform, ensuring high availability, performance, and reliability, and supporting data-driven initiatives.
Requirements
- Proven experience with cloud platforms (AWS, Azure) and data warehousing solutions (e.g., Snowflake, Redshift).
- Strong proficiency in programming languages such as Python, Scala, or Go.
- Strong skills in ETL tools and frameworks (e.g., Spark, dbt, Kafka).
- Strong experience with data orchestration tools (e.g., Airflow, Prefect).
- Strong experience with databases (e.g., PostgreSQL, MongoDB) and data visualization tools (e.g., QuickSight).
- Strong background with DevOps practices and tools (e.g., Docker, Terraform, Kubernetes).
- Knowledge of machine learning techniques and data analysis.
Responsibilities
- Platform Maintenance: Regularly monitor and maintain the data engineering platform to ensure high availability, performance, and reliability.
- Team Coordination: Collaborate with cross-functional teams to gather requirements, troubleshoot issues, and implement solutions that meet business needs.
- Proactive Issue Resolution: Identify and address potential issues before they impact operations, optimizing data pipelines and ensuring data integrity.
- Documentation and Standards: Establish and uphold development standards and documentation practices to facilitate knowledge sharing and onboarding of new team members.
- Mentorship: Provide guidance and support to team members, fostering a collaborative environment that encourages continuous improvement.
Other
- 7-10 years of professional experience working in the investment management domain
- Excellent communication and collaboration skills, with a focus on team coordination.
- Strong problem-solving abilities and attention to detail.
- Equal Employment Opportunity and Affirmative Action Statement
- Applicants with Disabilities
