Senior Data Engineer I

Key Responsibilities:

1. Mentors junior Data Engineers and multi-functional team of colleagues, fostering a culture of excellence and innovation
2. Leads and collaborates within Agile teams, support business and product changes, and prioritize features for ongoing sprints
3. Stays abreast of new database management system features and functions and drive adoption across Amex to use product capabilities
4. Provides guidance and support to junior engineers, fostering professional growth and development within the team
5. Converts logical data architectures into physical designs and spends significant time on database development and testing
6. Provides administration services for databases, data warehouses, and datamarts, and continuously improves database design and performance
7. Identifies and fixes database performance issues, ensuring optimal replication, high availability, and effective backup and recovery processes
8. Develops and implements standard practices for data management, security, and processes, and contribute to tool and method decisions
9. Enhances Big Data management strategies by designing and implementing advanced partitioning and indexing solutions
10. Collaborates and co-creates effectively with teams in product and the business to align technology initiatives with business objectives
11. 10+ years of experience in data engineering, with a solid focus on GCP.
12. Proficiency in GCP services such as Big Query, Dataflow, Cloud Storage, Cloud Composer (Airflow), and Pub/Sub.
13. Solid understanding of data warehousing concepts and ETL/ELT processes.
14. Experience with data modeling, including dimensional, normalized, and canonical models.
15. Proficiency in SQL and at least one programming language (Python or Scala).
16. Experience with data governance, metadata management, and data quality.
17. Experience with CI/CD practices and DevOps principles.
18. Superb communication, collaboration, and mentoring skills.
19. Experience with Apache Beam, Spark, or Kafka preferred.
20. Experience with Collibra or other data governance tools preferred.