Data Engineer for State Street collaborating on a scalable infrastructure platform across AWS/Azure. Mentoring engineers and transforming data analytics tooling for various business needs.
Responsibilities
Collaborate across a variety of teams to enable our Data Platform needs and design, implement, and maintain a secure and scalable infrastructure platform spanning across AWS/Azure and our Data Center
Own and ensure that internal and external SLA’s meet and exceed expectations, System centric KPIs are continuously monitored
Work on our data lake, data warehouse, and stream processing systems to create a unified query engine, multi-model databases, analytics extracts and reports, as well as dashboard and visualizations
Design and build systems for high availability, high throughput, data consistency, security, and end user privacy, defining our next generation of data analytics tooling
Mentor other engineers and promote software engineering best practices across the organization designing systems with monitoring, auditing, reliability, and security at their core
Come up with solutions for scaling data systems for various business needs and collaborate in a dynamic and consultative environment
Requirements
Minimum 8+ years of Databricks experience using Azure Cloud
Minimum 5+ years of hands on expertise in Hadoop and Scala or PySpark
Knowledge of at least one of the public cloud platforms AWS, Azure, or GCP is required.
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