Business Intelligence Engineer

6 days ago

Austin, Texas, United States SID Global Solutions Full time $120,000 - $200,000 per year

Job Title: Business Intelligence Engineer

Location:
Austin, TX (Onsite)

Employment Type:
Full-time

Overview

We are seeking a highly skilled
Business Intelligence Engineer
to join our Warehouse Automation Analytics team. This role focuses on designing, developing, and maintaining data pipelines, dashboards, and AI-powered reporting solutions that drive operational excellence across fulfilment centres. The ideal candidate is a problem solver who can independently identify data-driven opportunities, build scalable data models, and leverage GenAI tools such as
Amazon Q
for intelligent summarisation and insights.

Responsibilities

  • Design, develop, and maintain
    ETL pipelines
    using
    AWS Glue
    to integrate data from multiple systems into
    Amazon Redshift
    .
  • Build, optimize, and automate
    interactive dashboards and reports
    in
    Amazon QuickSight
    to support leadership and business stakeholders.
  • Develop and maintain
    data connectors and APIs
    for seamless integration across internal systems.
  • Leverage
    Amazon Q (GenAI)
    for report summarization, insights generation, and conversational analytics within QuickSight.
  • Work closely with
    data engineers, full-stack developers, product owners, and business analysts
    to translate requirements into actionable metrics.
  • Define, measure, and monitor
    key performance indicators (KPIs)
    related to warehouse readiness, utilization, downtime, and cost variance.
  • Identify process gaps and propose AI-driven improvements to enhance productivity and reporting accuracy.
  • Participate in end-to-end solution development — from
    data ingestion and modelling
    to
    visualization and insights delivery
    .
  • Ensure
    data quality, governance, and scalability
    across the analytics ecosystem.

Required Skills

  • AWS ecosystem:
    Redshift, Glue, QuickSight, S3, Lambda.
  • Strong experience in
    SQL, ETL development
    , and data modelling.
  • Proficiency in
    Python
    or
    PySpark
    for data transformations.
  • Hands-on experience with
    BI tools
    (QuickSight, Power BI, Tableau, etc.).
  • Familiarity with
    AI/ML integration
    and
    LLM-based tools
    (Amazon Q, ChatGPT, Gemini).
  • Understanding of
    data warehouse architecture
    and
    report automation
    .
  • Strong analytical thinking and problem-solving abilities; ability to work with minimal requirements.

What You'll Bring

  • A data-driven mindset with curiosity to explore
    AI-driven automation
    and
    intelligent reporting
    .
  • Ability to work cross-functionally and communicate effectively with both technical and non-technical stakeholders.
  • Motivation to innovate within the
    GenAI + Data Engineering
    space.

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