Software Architect

TWO95 International, Inc
Bethesda, MD, United States
3 months ago
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Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Working hours
Regular working hours
Job source

Tech stack

Big Data Databases Couchbase Servers Elasticsearch MongoDB Software Engineering Apache Solr Data Processing Enterprise Software Applications Apache Spark Apache Flume Apache Kafka
+3 more
Search Engines Spark Streaming Stream Processing

Requirements

  • Experience with technologies like

a. SPARK (or any other stream processing framework like Flume)

b. KAFKA

c. Elastic Search (or any search engine like Solr)

d. No SQL database (Couchbase, Mongo etc. but Couchbase highly preferred over others).

  • Mandatory hands on with at least one or SPARK or Elastic Search (preferably SPARK including SPARK Streaming).

  • Experience with architecting and developing enterprise applications that deal with data processing, no front end implementation experience desired

  • Applicant should be able to set up the tech stack locally, think through the solution options specifically from a faster data processing standpoint and guide a set of developers on low level design.

  • Applicant should be able to work with disparate enterprise teams to gauge requirements and convert them into scalable application design

  • Working with offshore team, creating design elements and guiding them on the application design based on requirements, reviewing their deliverables.

  • Experience with other big data technologies is only needed to have a “data processing mindset orientation to problems” but it is not mandatory.

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Good distractions

Talks and stories from around this role — technically off-topic, practically not.

2:01 min

Migrating existing applications from MongoDB to Postgres

Nikita Shamgunov Nikita Shamgunov · World Congress 2024

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Defining big data and machine learning fundamentals

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Database evolution and the funding behind vector databases

Erik Bamberg · LIVE

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Evaluating mature stream processing frameworks for production systems

Soroosh Khodami Soroosh Khodami · World Congress 2024

1:21 min

Realizing the limitations of MongoDB for live statistics

Josip Stuhli Josip Stuhli · World Congress 2023

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Solving complex platform architecture challenges at an enterprise scale

Maria Apazoglou · Coffee With Developers

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