HAVI / TMSW

  • Senior IT Data Engineer (Supporting Analytics)

    Location
    US-IL-Downers Grove
  • Overview

     HAVI Logo 2016

    HAVI is a privately held global company that innovates, optimizes and drives the supply chains and marketing promotions of many of the best known brands in the world. When you work at HAVI, you have a chance to make your mark – to be a part of work that drives value, brings a smile and keeps everyday life moving forward. Which means it’s not the size of our global footprint, but rather your personal fingerprint, that has the power to make a real difference for our customers… and to touch the lives of people both at home and around the world.

    Responsibilities

    This position is based in our Downers Grove location. Imagine free parking in our covered garage, walking path around pond with views of The Morton Arboretum ... and much more!

     

    HAVI is seeking a Senior Data Engineer to architect, design, implement, enhance and maintain highly scalable, available, secure and elastic cloud ready data solutions based on industry best practices by using cutting-edge technologies for our Analytics Team. We are looking for a passionate technologist, go-getter -- someone who never stops seeking ways to improve existing technology. In this role, you will become an expert in our data domains, act as a trusted advisor to architects and engineers, and become a crucial part of the deployment and operations of our systems. Additional responsibilities: 

    • Serve as a member of a data and analytics team who solves complex challenges and constructs and implements domain-specific data stores and data marts
    • Perform technology and product research and work collaboratively with data scientist, DBAs, data architects, business stakeholders to understand their requirements, resolve important issues, and improve overall capabilities of the data platform
    • Work with high volumes of data of different velocities and varieties to process and expose for analysis through domain-specific data stores and data marts 
    • Design, build, and manage scalable data systems to serve analytics teams using Azure, Oracle SQL, T-SQL, PostgreSQL
    • Implement self-service tools that enable SQL / Python users to query the data
    • Collaborate with the team to develop database structures that fit into the overall architecture of the systems under development
    • Provide recommendations, analysis, and evaluation of systems improvements, optimization, development, and maintenance efforts
    • Implement security and recovery tools and techniques as required.
    • Create and maintain a domain area’s data catalog and data flow documentation 

     

    Desired Skills & Experience

    • Bachelor's degree in computer science, computer engineering, other technical discipline (or equivalent work experience)
    • 5+ years of data engineering, data science experience or software engineering
    • Demonstrate strong problem-solving abilities, interpersonal communication skills
    • Collaborative, Good written and verbal communication skills
    • Experience in handling large data volumes, deep understanding of data marts, data warehouse architecture, multidimensional databases, data lakes, and data migration
    • Significant knowledge of data modeling and understanding of different data structures and their benefits and limitations under various use cases
    • Deployment experience in both cloud/on-prem/container environment
    • Some experience in one or more of the following: SQL, Python, Panda, Spark or Pyspark, SparkSQL, HDFS
    • Hands-on experience with cloud vendors (Azure experience preferred, will also consider AWS or Google Cloud)
    • Experience working with APIs, microservice architecture, event-based data processing (Spark, Kafka)
    • Linux command line

     Preferred Technical Skills

    • Oracle, Postgres
    • Scala
    • Azure tools: Batch, Data Factory, Data Lake, U-SQL, DataBricks, HD-Insight
    • Large-Scale Machine Learning Deployment
    • Experience with in-memory, NoSQL database
    • MS toolset: Teams, Excel, One-drive, Visio
    • Docker, Kubernetes
    • RedHat, Ubuntu, Alpine Linux
    • Experience with agile methodologies, and tooling 

    Benefits

     

    Our total rewards philosophy integrates programs for compensation, benefits, recognition, learning and development, corporate culture, corporate citizenship and work-life balance. While individual program components may differ by country, some things remain constant:

     

       …our commitment to rewarding results

       …the opportunity to work with talented and driven individuals at every level of our company who respect each other, treat each other fairly and hold one another accountable for our customers’—and our company’s success

     

    Contact Information

    #LI-VO1

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