Data Engineer - Python

Associate Data Engineer (Python) – Black Rock SMA Solutions

Summit, NJ $-$ 7 months ago

The Data Engineer is responsible for designing, building, and optimizing scalable data solutions to support a wide range of business needs. This role requires a strong ability to work both independently and collaboratively in a fast-paced, agile environment. The ideal candidate will engage with cross-functional teams to gather data requirements, propose enhancements to existing data pipelines and structures, and ensure the reliability and efficiency of data processes.

• Focus on continued build out/improvement of the current data stores (Oracle, CEPH, and possibly Mongo
  
  DB) including data access and persistence
• Requirement of prior knowledge/experience with database concepts such as SQL tuning, indexes, views, stored procedures, etc
• Proficient in fundamental algorithms and data structures. Server-side Python processes utilizing concurrency patterns with asyncio, mutli-processing, and threading. Also, comfortable working with Numpy, Pandas, Python collections, etc
• Must handle API development using REST. Strong working knowledge of FastAPI, with a primary focus on mastering the REST protocol. Experience with gRPC and socket-based communication is a valuable plus
• Mastery of typical software development life cycle and deployment processes. Experience with GIT, MS Azure Dev Ops, Artifactory, etc. Must be comfortable building CI/CD pipelines
• Experienced in developing applications and managing systems on Red Hat Enterprise Linux (RHEL) environments

• Associate’s Degree preferred with 5 to 7 years demonstrated server-side development proficiency
• Bachelor’s Degree preferred with 3 to 5 years demonstrated server-side development proficiency

• Programming
  
  Languages:
  
  Python (Num Py, Pandas, Oracle PL/SQL). Other non-interpreted languages like Java, C++, Rust, etc. are a plus. Must be proficient in the intermediate-advanced level of the language (concurrency, memory management, etc.)
• Design patterns: typical GOF patterns (Factory, Facade, Singleton, etc.)
• Data structures: maps, lists, arrays, etc
• SCM: solid Git proficiency, MS Azure Dev Ops (CI/CD)
• SQL: proficiency with Oracle indexes, SQL tuning, views, stored procedures, and functions
• OS: majority of the development is on Redhat Linux but should be comfortable with Windows. Some Unix shell scripting may be needed from time to time
• API development: must have proficiency with HTTP REST with gRPC / sockets as a plus
• Comfortable working iteratively in a dynamic, flexible environment
• Strong self-management skills and with a focus on timely completion of tasks
• Ability to converse with technical and non-technical groups

Mid-Senior level

Full-time

Information Technology