Appex Innovation
Job Description
We are hiring for AWS Data Engineer for our client based in Richmond, VA.
Job Details:
Role: Data Engineer
Skills Required: Python, AWS, PySpark
Openings: 10 positions
Location: Richmond, VA, (Onsite)
Client/Domain: Banking Domain
Interview Process:
Candidates must be available for in-person interviews at one of the following locations:
McLean, VA
Richmond, VA
Dallas, TX
Job Description:
We are seeking a skilled and motivated Data Engineer to join our team in Richmond, VA. The ideal candidate will have a strong background in building and maintaining data pipelines and be proficient in the following technologies:
Required Skills:
Python:
Strong programming skills for data manipulation, scripting, and automation. AWS:
Experience with various AWS services (e.g., S3, EC2, Lambda, Glue, Redshift, etc.). PySpark:
Hands-on experience with PySpark for big data processing and ETL jobs. Domain Knowledge:
Previous experience working in the Banking or Financial Services domain is highly preferred. Key Responsibilities:
Design, develop, and maintain scalable and efficient data pipelines. Collaborate with data scientists and analysts to support their data needs. Ensure data quality, reliability, and security. Optimize data processing jobs for performance.
Job Details:
Role: Data Engineer
Skills Required: Python, AWS, PySpark
Openings: 10 positions
Location: Richmond, VA, (Onsite)
Client/Domain: Banking Domain
Interview Process:
Candidates must be available for in-person interviews at one of the following locations:
McLean, VA
Richmond, VA
Dallas, TX
Job Description:
We are seeking a skilled and motivated Data Engineer to join our team in Richmond, VA. The ideal candidate will have a strong background in building and maintaining data pipelines and be proficient in the following technologies:
Required Skills:
Python:
Strong programming skills for data manipulation, scripting, and automation. AWS:
Experience with various AWS services (e.g., S3, EC2, Lambda, Glue, Redshift, etc.). PySpark:
Hands-on experience with PySpark for big data processing and ETL jobs. Domain Knowledge:
Previous experience working in the Banking or Financial Services domain is highly preferred. Key Responsibilities:
Design, develop, and maintain scalable and efficient data pipelines. Collaborate with data scientists and analysts to support their data needs. Ensure data quality, reliability, and security. Optimize data processing jobs for performance.