ISRM's metrics platform maintenance and maturity to ensure consistent and timely data availability to customers
Requirements
- performing data engineering using Python to analyze & process large enterprise data sets
- managing cloud-hosted Extract-Load-Transform (ELT) data pipelines using AWS Glue, Spark, & Athena for storage, processing, & analysis
- leading end-to-end data engineering activities including design, implementation, testing, deployment, & support
- evaluating data to determine fields & records of value to evaluate data quality & fitness for purpose & to maximize effective use of source data
- designing, maintaining, & querying relational databases via advanced SQL queries
- integrating complex data pipelines with REST APIs
- designing & implementing reporting & data visualizations using Power BI
Responsibilities
- Lead efforts to maintain & mature ISRM’s metrics platform from data ingestion through visualization to ensure consistent & timely data availability to customers.
- Collaborate with data managers, process owners, & reporting customers to ingest, validate, process, summarize, & visualize quantitative & qualitative data.
- Lead agile data engineering processes to ensure consistent & timely execution against priorities.
Other
- Must have a Bachelor’s degree & 5 years’ experience as a senior data engineer focused on business intelligence.
- 100% Telecommuting permitted
- 5 years of experience required in relevant field
- Work experience may be gained concurrently.
