Data Analytics Engineer, Python & SQL
Overview
You will own analytics and monitoring for SES in the Reston-DMV area, driving data insights and visualization for financial services. You'll collaborate with developers across the SDLC, translating business needs into production-grade data solutions. This hybrid role centers on Python and SQL, where you'll bridge UAT testing and data engineering. You'll debug and refine data pipelines and dashboards, ensuring quality and performance.
What You'll Do7
- 1Build and maintain data pipelines and visualizations using Python and SQL.
- 2Design and execute UAT tests for data analytics and monitoring features.
- 3Collaborate with developers to define data requirements and validate outputs across the SDLC.
- 4Debug production data issues and implement fixes with cross-functional teams.
- 5Drive data insights and visualization strategies for Financial Services clients.
- 6Own the monitoring and alerting for data quality and pipeline performance.
- 7Ship dashboards and reports that enable business decisions.
Requirements7
- 17+ years in data analytics, monitoring, visualization, and production support.
- 2Hands-on Python for data manipulation and automation.
- 3Proficient SQL for complex queries and data extraction.
- 4Experience with API integration and testing.
- 5Strong SDLC knowledge including Agile or Waterfall.
- 6Domain expertise in Financial Services.
- 7Proven ability to collaborate with developers and business stakeholders.
Salary Insight
Salary not disclosed in listing
Location
Required Skills
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