Data Engineer 4 (Cloud Operations Resilience Engineering) (MEG)
Core
Design, build, and support scalable, resilient cloud data pipelines and platforms using distributed systems and modern data warehousing.
Role type
Senior Data Engineer (Cloud Operations & Resilience)
Builds
Robust cloud-first data solutions, data pipelines, and data platforms
Domain
Financial Services / Cloud Data Engineering
Required skills
Python, SQL, Spark, Distributed Data Systems, Data Pipeline Design, Data Modeling, Cloud Data Warehousing, NoSQL Databases, Data Security
Preferred skills
Real-time/Streaming Data Pipelines, Data Observability, Data Orchestration, Unstructured Data Handling, Cloud Workload Operations
Technologies
Databricks, Snowflake, AWS, Azure, Google Cloud, EMR, Glue, Airflow, Dagster, MongoDB, Cassandra, DynamoDB, Redshift
Responsibilities
Design and build data pipelines focusing on scalability and resilience; Architect common data engineering design patterns; Implement data security standards and access controls; Collaborate with Agile teams to deliver full-stack data solutions; Mentor team members and share technical knowledge.
Seniority
Senior, hands-on IC
