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Nomis // price optimization SaaS platform
 
Engineering, Full Time    Toronto, Canada    Posted: Friday, January 31, 2020
 
   
 
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JOB DETAILS
 

Data Engineer

Nomis is looking for an outstanding data expert to join our team. The Data Engineer will collaborateclosely with our client services team to process critical data while working to poweradvanced analytics & enable the integration of data science across the company. You are ready to be flexible & nimble in your work, from constructing ETL pipelines for customer delivery to participating in exploratory data analysis with our Analyticsteam.

Who We Are & What We Build

We partner with Banks & FinTechs on 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 a Blue Chip venture-backed company with the vision to transform the consumer banking landscape.

Responsibilities

  • Establish & maintain big data processing platform
    • Build data management applications andmicroservicesonAWS
    • Design andimplementHive/Greenplum/RedShift distributed data warehouses andstandard schemas
    • Design, develop, maintain cross-platform ETL processes & MapReduce/Hive/Sparkdata processing workflows
    • Manage & maintain reference data securely on S3 & other storage systems
  • Support client services teams by
    • Manage, customize, andautomatecloud-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 analyticsapplications & datasets
    • Developcodestandards, guidelines, andautomated test suitesto ensure highest data quality & integrity

Desired Skills & Requirement

  • Experience withbuilding distributed systems, query processing, & theHadoop ecosystem
  • Understanding of Data warehousing - architect & design data warehouse
  • Expertise with data schema - logical & physical data modeling
  • Knowledge ofETL processes & tools
  • Experience withAWS or a major cloud platform such as GCP
  • Proficiency in:Python, SQL, Java

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 community w.r.t. data engineering
  • Experience with the following services in AWS a strong plus: EMR, Lambda, Kinesis, Firehose, S3
 
 
 
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