VP, Principal Data Engineer at LPL Financial
New York, New York, USA -
Full Time


Start Date

Immediate

Expiry Date

09 Jun, 25

Salary

0.0

Posted On

10 Mar, 25

Experience

5 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

No

Skills

Mongodb, Kafka, Python, Computer Science, It, Cloud

Industry

Information Technology/IT

Description

Are you a team player? Are you curious to learn? Are you interested in working in meaningful projects? Do you want to work with cutting-edge technology? Are you interested in being part of a team that is working to transform and do things differently? If so, LPL Financial is the place for you!

WHAT ARE WE LOOKING FOR?

We want strong collaborators who can deliver a world-class client experience. We are looking for people who thrive in a fast-paced environment, are client-focused, team oriented, and are able to execute in a way that encourages creativity and continuous improvement.

REQUIREMENTS:

  • BS or advanced degree in Computer Science, IT or related field
  • 7+ Years of hands-on programming experience (like Python, .Net)
  • 7+ Years of SQL/NO-SQL database like MongoDB, PostGres
  • 5+ Experience with webservices API (REST/SOAP)?
  • 5+ years of hands-on experience in building end to end data pipelines running on cloud leveraging API’s and streaming services like Kafka, SQS. Experience in building large scale secure pipelines with data observability
Responsibilities
  • Hands-on experience in building end to end data pipelines running on cloud leveraging API’s and streaming services like Kafka,SQS. Experience in building large scale secure pipelines with data observability
  • Design, develop, test, tune and implement complex data pipelines with focus on Database development leveraging API’s (REST.GRAPHQL).
  • Build, troubleshoot, optimize and improve existing data pipelines and systems
  • Assist management in technical assessment of risks and issues, and document recommendations.
  • Support the production of technical documentation in accordance with SDLC guidelines.
  • Communicate with technical and non-technical groups on a regular basis as part of product/project support.
  • Develop solutions according to enterprise standards.
  • Present solutions in code review meetings
  • Design and develop core services and components with expertise in service-oriented architecture.
  • Provide technical troubleshooting and advanced de-bug support.
  • Evaluate new design proposals, investigate and recommend solutions and process improvements that deliver services with high scalability and performance.
  • Ensure the necessary platform technical documentation is maintained in an appropriate manner.
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