Cloud Data Engineer - Officer

Who we are looking for

This is a very exciting opportunity for talented engineers seeking to be part of highly visible and advance compliance technology group working in cloud environment with databricks, Machine learning and niche vendor products . We are looking for self-motivated hands-on Cloud Data Engineer Developer for state street’s AML program. Candidate will closely work with Technical and business teams based in Boston in an agile fashion to develop Technical solution for AML Transaction Monitoring and other compliance Program.

What you will be responsible for

As Application Developer you will

• Recognize the current application infrastructure and suggest new concepts to improve performance 
• Document the best practices and strategies associated with application deployment and infrastructure support 
• Produce reusable, efficient, and scalable programs, and cost-effective migration strategies 
• Develop Data Engineering and Machine Learning pipelines in Databricks and different AWS services, including S3, EC2, API, RDS, Kinesis/Kafka and Lambda. 
• Work jointly with the IT team and other departments to migrate data engineering and Machine Learning applications to Databricks/AWS 
• Comfortable to work on tight timelines, when required. 

What we value

These skills will help you succeed in this role

• Good decision-making and problem-solving skills 
• Solid understanding of Databricks fundamentals/architecture and have hands on experience in Databricks modules (Data Engineering, Machine Learning and SQL warehouse). 
• Knowledge of medallion architecture, DLT and unity catalog within Databricks. 
• Knowledge of Machine learning model development process.  
• Experience in migrating data from on-prem Hadoop to Databricks/AWS 
• Understanding of core AWS services, uses, and AWS architecture best practices 
• Hands-on experience in different domains, like database architecture, business intelligence, machine learning, advanced analytics, big data, etc. 
• Solid knowledge on Airflow  
• Solid knowledge on CI/CD pipeline in AWS technologies 
• Application migration of RDBMS, java/python applications, model code, elastic etc. 
• Solid programming background on scala, python 
• Experience with Docker and Kubernetes is a plus 

Education & Preferred Qualifications

• Bachelor's degree in computer science, Information Systems, or equivalent education or work experience 
• Around 3+ years of experience as a Data Engineer with cloud technologies 
• Any AWS and/or Databricks certification will be a plus 

Additional requirements

This role may require occasional L4 production support and weekend release support.

Why this role is important to us

Our technology function, Global Technology Services (GTS), is vital to State Street and is the key enabler for our business to deliver data and insights to our clients. We’re driving the company’s digital transformation and expanding business capabilities using industry best practices and advanced technologies such as cloud, artificial intelligence and robotics process automation.

We offer a collaborative environment where technology skills and innovation are valued in a global organization. We’re looking for top technical talent to join our team and deliver creative technology solutions that help us become an end-to-end, next-generation financial services company.

Join us if you want to grow your technical skills, solve real problems and make your mark on our industry.

About State Street

What we do. State Street is one of the largest custodian banks, asset managers and asset intelligence companies in the world. From technology to product innovation we’re making our mark on the financial services industry. For more than two centuries, we’ve been helping our clients safeguard and steward the investments of millions of people. We provide investment servicing, data & analytics, investment research & trading and investment management to institutional clients.

Work, Live and Grow. We make all