Developer

Developer at Unisys Developer at Unisys in Derwood, Maryland Posted in 2 days ago.

Type:

full-time

Job Description:

Role:

Sr Developer (SQL / Data, AWS, analytics)

Location:

Rockville, MD or Tysons, VA (3 days onsite per week)

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 Spac e: 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 Must-Have Skills
• 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