Data Engineer

V2SoftDallas, TX

About The Position

The AWS Field Experience (AFX) , Revenue Lifecycle Automation and Intelligence (RAIn) team is seeking a passionate, innovative, and results oriented Data Engineer to design and build scalable solutions that empower our field teams. You'll bring industry best practices and standards to solve complex business problems, define meaningful metrics, and create systems that operate reliably at scale. As a Data Engineer you will be working in one of the world's largest and most complex data warehouse environments. You will be developing and supporting the analytic technologies that give our customers timely, flexible and structured access to their data. You will be responsible for designing and implementing a platform using in-house reporting tools, modeling metadata, building reports and dashboards in Quick Suite. You will work with business customers in understanding the business requirements and implementing solutions to support analytical and reporting needs.

Requirements

  • 3+ years of data engineering experience
  • 3 + years of Experience with data modeling, warehousing and building ETL pipelines
  • 3+ years of developing and operating large-scale data structures for business intelligence analytics using data modeling experience
  • High SQL fluency and Data Analysis
  • High python knowledge
  • Strong ETL experience

Nice To Haves

  • Deep SQL fluency
  • Deep Python (or equivalent) fluency for orchestration, data quality automation, and pipeline tooling beyond SQL
  • Experience with AWS technologies like Redshift, S3, AWS Glue, EMR, Kinesis, FireHose, Lambda, and IAM roles and permissions
  • Experience with non-relational databases / data stores (object storage, document or key-value stores, graph databases, column-family databases)
  • AWS Stack Experience
  • Experience with data modeling, warehousing
  • Developing and operating large-scale data structures for business intelligence analytics using data modeling experience

Responsibilities

  • Designing and implementing a platform using in-house reporting tools
  • Modeling metadata
  • Building reports and dashboards in Quick Suite
  • Working with business customers in understanding the business requirements
  • Implementing solutions to support analytical and reporting needs

Benefits

  • Innovative and cost-effective technology solutions
  • Quality and security certifications (CMMI Level 3 and ISO standards)
  • Community and non-profit support
  • Dynamic and impactful global company environment
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