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Nomis // price optimization SaaS platform
 
Engineering, Full Time    Toronto, Canada    Posted: Thursday, June 06, 2019
 
   
 
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JOB DETAILS
 

Data Engineer

Nomisis looking for an outstanding data expert to join our team. The Data Engineer will collaborate closely with our engineering team in building the next generation of data management & ETL software to enable advanced analytics & data science across the company & our customers. You are ready to be flexible & nimble in your work, from constructing ETL pipelines, building microservices & participating in exploratory data analysis with our Analytics team.

Who We Are & What WeBuild

We partner with Banks andFinTechson their journey to best-in-class pricing technology & analytics so that they deliver more value to their customers, employees & shareholders. Our top-notch people, proven technology, & innovative analytics are tackling big data challenges at banks & lenders every day. We deliver market-leading cloud-based Pricing & Profitability Management solutions & insights for the Banking & Financial Services industry leveraging cutting-edge behavioral data science. We are aBlue Chipventure-backed company with the vision to transform the consumer banking landscape.

Responsibilities

  • Establish & maintain big data processing platform
    • Buildand deploy backendapplications & microservices on AWS
    • Design & implement Hive/Greenplum/RedShift distributed data warehouses & standard schemas
    • Design, develop, maintain cross-platform ETL processes & MapReduce/Hive/Spark data processing workflows
    • Manage & maintain reference data securely on S3 & other storage systems
  • Support client services teams by
    • Manage, customize, & automate cloud-based (AWS) data processing supporting multiple clients
    • Administration of relational databases, capacity plans, infrastructure & storage design
    • Oversee & execute data migration from existing data stores
    • Application/implementation of custom analytics applications & datasets
    • Develop code standards, guidelines, & automated test suites to ensure highest data quality & integrity

Desired Skills & Requirement

  • Experience with building distributed systems, query processing, & the Hadoop ecosystem
  • Experience with building API's
  • Experience with developing web services on services such as AWS, GCP or Azure
  • Understanding of Data warehousing - architect & design data warehouse
  • Expertise with data schema - logical & physical data modeling
  • Knowledge of ETL processes & tools
  • Experience with AWS or a major cloud platform such as GCP
  • Proficiency in: Python, SQL, Java, JavaScript

Strong pluses:

  • Experience of Business Intelligence tooling such as Tableau
  • Experience with data mining techniques & analytics functions
  • Predictive analytics experience is a PLUS
  • Experience with Spark 2, Apache Airflow & other modern data engineering tooling a strong plus
  • Experience with streaming architectures & MPP databases such as Greenplum a strong plus
  • Up-to-date with the open-source communityw.r.t.data engineering
  • Experience with the following services in AWS a strong plus: EMR, Lambda, Kinesis, Firehose, S3
 
 
 
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