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Job Description

Join a Product BI team building scalable, compliant data products and business intelligence analytics for AWS product innovation.

Responsibilities

  • Build scalable solutions for ever growing data while staying compliant and adaptable to diverse business needs
  • Create data products that simplify customer problems and improve operational and technical efficiency
  • Develop and operate large-scale data structures for business intelligence analytics using ETL/ELT processes
  • Develop and operate large-scale data structures for business intelligence analytics using OLAP technologies
  • Develop and operate large-scale data structures for business intelligence analytics using data modeling
  • Develop and operate large-scale data structures for business intelligence analytics using SQL
  • Develop and operate large-scale data structures for business intelligence analytics using Oracle

Requirements

  • 5+ years of data engineering experience
  • 3+ years developing and operating large-scale data structures for business intelligence analytics using ETL/ELT
  • 3+ years developing and operating large-scale data structures for business intelligence analytics using OLAP
  • 3+ years developing and operating large-scale data structures for business intelligence analytics using data modeling
  • 3+ years developing and operating large-scale data structures for business intelligence analytics using SQL
  • 3+ years developing and operating large-scale data structures for business intelligence analytics using Oracle
  • Experience with data modeling, warehousing, and building ETL pipelines

Technologies

  • Amazon Elastic Compute Cloud (EC2)
  • Redshift Serverless
  • Containers (ECS, EKS)
  • Streaming services
  • ETL, ELT, OLAP, SQL
  • Oracle
  • Data modeling, warehousing
  • ETL pipelines
  • Redshift, S3, AWS Glue, EMR
  • Kinesis, FireHose
  • Lambda
  • IAM roles and permissions
  • Object storage
  • Document or key-value stores
  • Graph databases
  • Column-family databases

Preferred Qualifications

  • 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, including object storage, document or key-value stores, graph databases, and column-family databases

Benefits

  • Sign-on payments
  • Restricted stock units (RSUs)
  • Health insurance (medical, dental, vision, prescription, Basic Life & AD&D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts)
  • Adoption and Surrogacy Reimbursement coverage
  • 401(k) matching
  • Paid time off
  • Parental leave

Location: Seattle, WA (onsite)

Salary: USD 132,100 - 178,800 per year

Experience: 5+ years

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