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Software/ Big Data Engineer

This is a Full-Time Direct Hire position and at this time our client is not providing sponsorship, a candidate must be eligible to work in the US with no sponsorship required presently or in the future.
Our client is hiring a Software/ Big Data Engineer to focus on data and work on various data initiatives, including building performance reporting and AI/Client-based features into the platform. The ideal candidate is an experienced software engineer who is also experienced in building data pipelines, wrangling data, and has a strong interest in building data products from the ground up.
Summary: The platform operates on a microservice architecture and new features will be built that leverage advanced data modeling, Client, and AI (both home-grown and off-the-shelf). ?At its core is a set of relational databases accessed by both Restful and GraphQL API endpoints, in turn powering 40+ applications written in a range of languages including Python, Go, React, and PHP. ?The successful candidate will play a key role in the development of custom data models, algorithms, pipelines, and APIs to support these features.
Responsibilities
  • Participate in key software design, working directly with other engineers, the product team, DevOps, and the editorial team.
  • Architect, write code, complete programming and perform testing and debugging of data applications.
  • Build data APIs and data delivery services that support critical operational and analytical applications for our internal business operations, customers and partners.
  • Identify, design, and implement internal process improvements: automating manual processes, optimizing data delivery, re-designing infrastructure for greater scalability.
Skills/Experience
  • 3+years?experience with Software Engineering
  • 2+ years experience with relational databases (Postgres preferred)
  • 2+ years experience with Node.js
  • Experience/familiarity with Python
  • Ability to take a feature or service to full completion, from working with back-end tech through front-end implementation
  • Expert SQL knowledge and experience working with relational databases and query authoring.
  • Experience building/optimizing 'big data' data pipelines, architectures and datasets.
  • Knowledge of message queuing, stream processing, and highly scalable 'big data' data stores.
  • Strong analytic skills related to working with unstructured datasets.
  • Ability to work in Agile/Scrum.
  • B.S./M.S. in Computer Science or a related field, or equivalent experience.
Highly desirable experience/familiarity:
  • Keen interest in software bots and AI
  • Stream-processing systems: Storm, Spark-Streaming, etc.?
  • BI tools: Looker, Domo, Tableau, etc.
  • GCP cloud services: BigQuery, Cloud Storage, etc.
  • AWS cloud services: EC2, EMR, RDS, Redshift
  • Data pipeline and workflow management tools: Azkaban, Luigi, Airflow, etc.
  • Big data tools: Hadoop, Spark, Kafka, etc.
  • Botkit library for Slack

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