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Senior Software Engineer - Analytics


Job ID : 15454

Job Title : Senior Software Engineer - Analytics

Location : Boston, MA

Company Name : Genesys

Industry : Information Technology

Salary : $91,168 - $109,710  per year

Job Type : Fulltime

Posted on: 2020-09-08


Required Skills : Python, Hadoop, Spark, Hive, Presto, Flink, Samza

Benefits : No benefits are available


Job Description:

In this role, you’ll partner with a distributed team to build and support a variety of analytical big data products. We are a team whose focus is to operationalize big data products and curate high-value datasets for the wider organization as well as to build tools and services to expand the scope of and improve the reliability of the data platform as our usage continues to grow on a daily basis.

Roles & Responsibilities:

  • Develop and deploy highly-available, fault-tolerant software that will help drive improvements towards the features, reliability, performance, and efficiency of the Genesys Cloud Analytics platform.
  • Actively review code, mentor, and provide peer feedback.
  • Collaborate with engineering teams to identify and resolve pain points as well as evangelize best practices.
  • Partner with various teams to transform concepts into requirements and requirements into services and tools.
  • Engineer efficient, adaptable, and scalable architecture for all stages of data lifecycle (ingest, streaming, structured and unstructured storage, search, aggregation) in support of a variety of data applications.
  • Build abstractions and re-usable developer tooling to allow other engineers to quickly build streaming/batch self-service pipelines.
  • Build, deploy, maintain, and automate large global deployments in AWS.
  • Troubleshoot production issues and come up with solutions as required.

Required Qualifications:

  • You are an experienced Java developer and maybe you’ve used Python or similar languages as well but Java is our primary codebase.
  • You have experience in web-scale data and large-scale distributed systems, ideally on cloud infrastructure.
  • You have a product mindset. You are energized by building things that will be heavily used.
  • You have built scalable software using big data technologies (Experience with at least one of these: Hadoop, Spark, Hive, Presto, Flink, Samza, Storm, Elasticsearch, Druid, Cassandra).
  • You have experience building data pipelines (real-time or batch) on large complex datasets.
  • A plus would be understanding messaging/queueing/stream processing systems.
  • You design not just with a mind for solving a problem, but also with maintainability, testability, monitorability, and automation as top concerns.

Technologies embraced:

  • The right tool for the right job over we-always-did-it-this-way.
  • Packer and ansible for immutable machine images.
  • AWS for cloud infrastructure.
  • Infrastructure (and everything, really) as code.
  • Automation for everything. CI/CD, testing, scaling, healing, etc.
  • Flink and Kafka for stream processing.
  • Hadoop, Hive, and Spark for the batch.
  • Airflow for orchestration.
  • Druid, Dynamo, Elasticsearch, Presto, and S3 for query and storage. 

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