Developer

Unisys
Derwood, United States of America
2 days ago

Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Working hours
Regular working hours
Languages
English
Experience level
Senior

Job location

Derwood, United States of America

Tech stack

Artificial Intelligence
Amazon Web Services (AWS)
Amazon Web Services (AWS)
Data analysis
Cloud Engineering
Continuous Integration
Data Validation
ETL
Hive
Python
Performance Tuning
Regression Testing
Power BI
Standard Sql
SQL Databases
Tableau
Enterprise Data Management
Scripting (Bash/Python/Go/Ruby)
Performance Testing
Angular
Amazon Web Services (AWS)
Tools for Reporting
Front End Software Development
Data Pipelines

Job description

Role: Seeking Analytics engineer with strong SQL/AWS who will think about how to engineer / transform data into more meaningful analytics

*Not an ETL developer or 'keep the lights on' engineer role

*Probably not a pure BI engineer

Possible profiles: Hybrid data analyst/engineer, data engineer, SQL developer, data/cloud engineer, analytics engineer, AWS data engineers

Must have's:

  • Strong SQL background
  • Strong AWS ß Have one of these in order of priority: Athena ...or RDS...or Hive (AWS based data querying)
  • Strong analytical background: Know how to transform data/analytics and related solutions

Nice to have's:

  • Python, AI, CI/CD

Space: Modernization phase: Will support Diver and scale up into other applications

JD: Senior role focused on delivering analytics, dashboards, and insights using existing enterprise data. Works across SQL and AWS (Athena, RDS, Hive) to enable business decision-making through reliable and scalable reporting solutions. Not an ETL/data pipeline role.

This is not a task execution role-expected to challenge the status quo, question assumptions, and drive better data-driven decisions.

  • Build and optimize SQL-based analytics and reporting solutions
  • Analyze data using AWS services (Athena, RDS, Hive)
  • Develop and maintain dashboards and KPI reports
  • Define and refine business metrics and KPIs with stakeholders
  • Improve analytics efficiency through reusable queries and views
  • Build lightweight automation/tools to reduce manual reporting effort
  • Ensure data accuracy and reliability through validation and testing
  • Perform testing, including:
  • Regression testing of dashboards/reports
  • Performance testing of queries
  • Unit and end-to-end (E2E) testing

Requirements

  • Strong SQL (advanced queries, optimization, performance tuning)
  • Experience with AWS analytics services (Athena, RDS, Hive)
  • Strong background in data analysis and dashboarding
  • Understanding of KPIs, metrics, and reporting logic
  • Experience in data validation and testing

Good-to-Have Skills

  • BI tools (QuickSight, Tableau, Power BI)
  • AWS ecosystem (S3, EMR, Glue, Lambda)
  • Basic Angular/frontend exposure
  • Python or scripting for automation
  • Experience with CI/CD and testing frameworks

Focus

  • Analytics, reporting, and insights (not ETL)
  • AWS-based data querying

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