EI
Data Engineer
Expert In Recruitment Solutions
- πΊπΈ United States
- On-site
- 10 months ago
- Hadoop
- PySpark
- SQL
- AI
- ETL
- Python
- Machine Learning
10 months ago
We have anexclusive requirement fromClient, withinterview slots available nextThursday and Friday. The process will begin with a virtual interview, followed by an onsite round.
Interview Process - 2 -rounds (Interviews would be early morning as they have a offshore lead joining 8-10AM ET)
- 1st - 30 min. virtual screening w/VP
- 2nd β 1 hr. in person with Architect and team leads
Interview Times:
- Thursday 12/4: 8:00 AM β 10:00 AM ET
- Friday 12/5 : 8:00 AM β 10:00 AM ET
Required Skills:
- Hadoop
- Spark
- PySpark
- SQL (Expertise)
Background
- Team works with in-house models and data stacks
- Handles 20-30 million transactions per day.
- Current initiative: Credit fraud detection.
Responsibilities
- Work primarily on the data side of AI projects.
- Understand data and develop ETL processes.
- Perform feature engineering and data extraction.
- Manage and process large volumes of data in a high-performance environment.
Nice-to-Have Skills
- Banking/financial services experience (preferred, not required)
- Python programming
- Exposure to Machine Learning project
Data Engineer Β· Expert In Recruitment Solutions