Morgan Stanley

Cloud Data Engineer

Job description

Cloud Data Engineer

Job Number:

3192183

POSTING DATE: Nov 11, 2021
PRIMARY LOCATION: Americas-United States of America-Georgia-Alpharetta
EDUCATION LEVEL: Bachelor's Degree
JOB: Engineering
EMPLOYMENT TYPE: Full Time
JOB LEVEL: Associate

DESCRIPTION

Title: Cloud Data Engineer

About Us

Morgan Stanley is a leading global financial services firm providing a wide range of investment banking, securities, investment management and wealth management services. We advise, originate, trade, manage and distribute capital for governments, institutions and individuals. As a market leader, the talent and passion of our people is critical to our success. Together, we share a common set of values rooted in integrity, excellence and strong team ethic. We provide you a superior foundation for building a professional career where you can learn, achieve and grow.

Technology/Role/Department at Morgan Stanley

Technology is the key differentiator that ensures that we manage our global businesses and serve clients on a market-leading platform that is resilient, safe, efficient, smart, fast and flexible. The Technology division partners with our business units and leading technology companies to redefine how we do business in ever more global and dynamic financial markets.

Our sizeable investment in technology results in leading-edge tools, software, and systems. Our insights, applications, and infrastructure give a competitive edge to clients businesses and to our own.

Enterprise Technology & Services (ETS) delivers shared technology services for the Firm supporting all business applications and end users. ETS provides capabilities for all stages of the Firm?s software development lifecycle, enabling productive coding, functional and integration testing, application releases, and ongoing monitoring and support for over 3,000 production applications.

ETS also delivers all workplace technologies (desktop, mobile, voice, video, productivity, intranet/internet) in integrated configurations that boost the personal productivity of our employees. Application and end user services are delivered on a scalable, secure, and reliable infrastructure composed of seamlessly integrated datacenter, network, compute, cloud, storage, and database services.

Organizational Description

The Data Engineering & Analytics group in the Core Infrastructure at Morgan Stanley provides technologies and platform required to model, provision, transform, analyze, report, visualize, store and protect enterprise data on-prem and in public cloud. The team is responsible for the delivery and operation of these products

Job Description

We are seeking skilled, enthusiastic, and experienced engineers to join our team responsible for delivery and operation of big data, caching and messaging products like MongoDB, Kafka, Azure Databricks, Redis, Snowflake and others. This role also demands integrating internal systems with Public Cloud with heavy focus on automation and DevOps. Other responsibilities include troubleshooting and helping development team with best practices and on-boarding, monitoring, optimizing, and tuning. After a period of onboarding and training, new team members will take ownership of these products, working with global counterparts and customers to prioritize and execute on enhancements, extensions, and remediation of critical components of our infrastructure.
You have a strong understanding of Distributed Systems, Infrastructure and Automation. You have experience working to automate, deploy and manage applications with analytics and continuous deployment tools/process. You apply best coding practices and automation to build more efficient and ever-increasing quality products.

QUALIFICATIONS

Experience- 8+ years

Required Skills:

  • 5+ years of experience in data engineering with an emphasis on automation, performance, query optimization and troubleshooting
  • Hands on 3+ years of experience using Java/Python/Scala & Linux is a must
  • 2+ years of experience designing and building solutions utilizing various Cloud services, big data, and messaging products such as Azure, Azure SQL, Databricks/Spark, MongoDB, Kafka
  • Good knowledge of network and security protocols like TCP/IP, HTTP(s), TLS, DNS, OIDC/oAUTH, Proxies & Load balancers.
  • Experience working with Docker & Kubernetes
  • Strong fundamentals in distributed system design, development and deployment using agile/devops practices
  • Experience with Agile development methodology and CI/CD
  • Experience with tools such as GIT, Jira and Bitbucket
  • A self-starter with the ability to work effectively in teams
  • Good communication skills and excellent teamwork experience

Desired Skills:
  • Deep knowledge of JVM internals
  • Knowledge of Ansible/Terraform
  • Experience with system performance
  • Contributor/Committer to open source projects

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