Data Engineer US

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.