Data Architect with MongoDB
Job Posting for Data Architect with MongoDB at Ccube
Data Architect with MongoDB
NY/NY Onsite Day 1
9-12 Months
***Local Candidates Highly Preferred ***
We are a collaborative and fast-growing team working on exciting and innovative digital product offerings.
Job Specific Competencies Technical Skills/System Knowledge( and associated skill level)
NY/NY Onsite Day 1
9-12 Months
***Local Candidates Highly Preferred ***
We are a collaborative and fast-growing team working on exciting and innovative digital product offerings.
- This role will be for a Senior Database Specialist with prior experience working on NoSQL databases including Mongo. Candidate will serve as a technical architect reviewing all the database design decisions as we look to build the next generation Portfolio.
- Management platform. This role will have end to end accountability during design, development, unit testing, supporting multiple test phases, deployment and also ownership of the databases after releasing to production.
Job Specific Competencies Technical Skills/System Knowledge( and associated skill level)
- Bachelor's degree in computer science engineering or a related discipline, or equivalent work experience required.
- A Minimum of 8 years of experience in software development required; Good understanding of financial markets with prior experience in building, supporting front[1]office trading systems is a plus.
- Minimum 5 years of experience around building highly scalable systems using MongoDB.
- Demonstrable experience building data pipelines in Python.
- Experience building on the Public Cloud (preferably Azure or AWS)
- Experience using cloud based PaaS data platforms such as Snowflake and Databricks.
- Experience with modern opensource ETL/ELT and orchestration tools such as Airbyte or Airflow.
- Experience with data modelling for both operational and analytical datastores
- Experience with data lake concepts and strong understanding of data design patterns culminating into microservices development.
- Experience in developing Data Pipelines to support near-real-time and event-driven messaging and data processing.
- Expertise in Agile development
- Experience in handling high volume data processing through concurrency and multi[1]threading techniques to build scalable, performant and resilient applications.
- Collaborate cross-functionally with data engineers, business users, project managers and other engineers to achieve elegant solutions.
Salary.com Estimation for Data Architect with MongoDB in Greenwich, NY
$129,256 to $167,600
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