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Job Title

Solution Architect - Data Engineering

Company Description:

Infostretch is a pure-play digital engineering services firm focused on helping companies accelerate their digital initiatives from strategy and planning through execution. We leverage deep technical expertise, Agile methodologies and data-driven intelligence to modernize systems of engagement and simplify human/tech interaction. We deliver custom solutions that meet customers’ technology needs wherever they are in their digital lifecycle. Backed by Goldman Sachs and Everstone Capital, Infostretch works with both large enterprises and emerging innovators -- putting digital to work to enable new products and business models, engage with customers in new ways, and create sustainable competitive differentiation.

Job Description:

Infostretch is looking for a Solution Architect with experience in developing enterprise-class distributed data engineering solutions on the cloud. You will join a highly motivated team of solution architects and developers that is chartered to lead the organization into Digital Engineering solutions development.

In this role you will be responsible for : 

  • Employ Big Data technologies ranging from asynchronous data ingestion, high volume stream data processing, and real-time data analytics. - Design application components for managing big data, services, and infrastructure.
  • Assist in defining the process models and toolsets to enable the adoption of data management methodologies.
  • Designing cutting edge cloud platform solutions using the latest tools and platforms offered by GCP, AWS, and Azure.
  • You will also be responsible for, formulating, and document the best practices and architectures needed to develop and manage highly resilient solutions on public and private PaaS platforms.

Required Qualifications

  • 10+ years of software development experience is a must.
  • 5+ years developing data engineering solutions using public cloud solutions GCP/AWS/Azure or on-premise distributions.
  • Strong understanding of data governance, warehousing, and data lake concepts.
  • Strong understanding of distributed systems and big data ecosystem.
  • Strong understanding of designing high performance, fault-tolerant distributed software solutions.
  • Good knowledge of functional programming and languages such as scala and/or closure. 
  • Good understanding of machine learning and data mining practices.
  • Experience with languages python and/or Go.
  • Experience in no-SQL databases such as MongoDB, Couchbase or DynamoDB
  • Experience in streaming technologies like Spark streaming or Storm
  • Experience with Asynchronous messaging using Kafka, RabbitMQ, or alike.
  • Knowledge of CI/CD tools and processes such as Git, Jenkins, JUnit/TestNG, Nexus, Chef/Puppet, etc
  • Familiarity with containerization technologies such as Dockera and Kubernetes
  • Familiarity with Unix/Linux OS and shell scripts
  • Must have a B.S. in computer science, software engineering, computer engineering, electrical engineering, or related area of study

You will have an edge if:

  • Working knowledge of Mesos / YARN is a plus. 
  • You have worked with ML pipelines or AI development projects.
  • Knowledge of OpenStack is good to have.

If you feel that this is a good match for your skillsets, please submit a current word version of your resume along with a cover letter describing your skills, experience and salary expectations. We are an Equal Opportunity Employer (EOE). You can read our job applicant privacy policy here.

Apply Online Print

Job Code: IS-SCF2020060901

Category: Engineering

Job Type: Full-Time

Location: Santa Clara, CA, USA

Open Positions: 1

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