Would you be interested in exploring career opportunities with us?
Please find the job description below.
Job Title: Data Engineer (On-site)
Client: Equifax
Position: C2C or 1099
Location: Atlanta GA Onsite
St. Louis MO Onsite
Working Hours: 8 Hours/Per Day
What you’ll do
- Conduct data wrangling and data analyses in a big data environment; Create business insights and KPI reporting using Equifax’s credit data and alternative data assets.
- Working with D&A, IT, and Google Cloud Migration team, automate data reporting and scoring processes on Google Cloud
- Collaborate with D&A Data Scientists and analytical consultants executing compelling analytical projects that demonstrate the value of Equifax data assets and products.
- Articulate and educate various internal stakeholders on Equifax data and analytical solutions.
- Use Airflow to perform a variety of data aggregation, data quality, and integrity checks.
- Use Airflow for automating multiple jobs with dependencies, parallelizing jobs, monitoring run status, failures and troubleshooting, and more.
What experience you need
- Master's or higher degree in Computer Science, Information Technology, Data Science, MIS, or other quantitative disciplines
- 4+ Years’ experience with Data Engineering in Financial Services or credit reporting companies
- 2 years experience with structured and unstructured data and accessing data using languages such as SQL
- 2 years of GCP and Python scripting experience
- Expert knowledge of SQL and Python, or equivalent data analytics tools used for large-scale data analysis and modeling
- Hands-on experience in data wrangling, data cleaning, data automation, and subsequent data monitoring and analysis
- Hands-on experience in using Apache Airflow and Dataproc to programmatically author, schedule, and monitor workflows
What could set you apart
- Knowledge of various sources of data such as credit bureau, consumer credit, demographics, and income data is preferred.