Job Description - 3+ Years of Development / Data Engineering Experience
- 2+ Years Developing with AWS Cloud solutions
- 2+ Years Developing in Spark/PySpark
- 2+ Years Developing AWS Glue ETL
- 2 + Years AWS Storage models (S3 and DynamoDB)
- Some hands-on developing with on-prem ETL tooling (Ab Initio preferred, Informatica)
Requirements - Bachelor of degree in computer or any related field.
- Minimum of 12+ years' experience in the said role.
- Strong experience in AWS GLUE, EMR, Hudi, experience extracting data from multiple sources & loading data into Data Lakes, AWS Redshift
- Experience working with AWS Elastic search, RDS, PostgreSQL preferred
- Experience w/ AWS services such as Lambda, EMR, SNS/SQS, Event Bridge, Lake Formation & Athena
- Experience w/ integrating applications/systems (data producers) with Enterprise Kafka topics (Confluent Kafka integration w/ AWS S3, Redshift)
- Experience in Requirements Analysis, Data Analysis, Application Design, Application Development & Integration Testing
- Working knowledge of on-prem Extraction, Transformation, Cleansing and Loading methodology and principles
- Experience implementing and adding to DevOps principles (GitLab, maintaining CI/CD pipelines)
- Experience in Java svcs is nice to have.
N/A:- Please kindly note that this role is for USC and GC Visa holders only.
Interested and qualified candidates should send their resume to using the job title as the subject of the mail.