Data Integration Engineer

Benefits:

P

long term

Opportunity for advancement

Data Integration Engineer

Dallas, TX

Virtual

Onsite

10+ profiles

Must-Have Skills:

Extensive experience as a Data Engineer with strong proficiency in Python and Cloud Technologies (AWS preferred).

Proficient in Automating ETL processes and AWS Data/Infrastructure management using Python.

Strong hands-on experience with AWS services like S3, Athena, EMR, Glue, Redshift, Kinesis, and SageMaker.

Experience with SQL/Unix/Linux scripting for data workflows.

Development and testing experience with Cloud/On-Prem ETL Technologies (Ab Initio, AWS Glue, Informatica, Alteryx).

Experience in data migration from On-Prem to Cloud (preferred).

Skilled in DevOps/Data Ops practices, specifically in large-scale application testing.

Familiarity with Data Science platforms such as SageMaker, Machine Learning Studio, or H2O.

Nice-to-Have Skills:

Experience using Jenkins and Gitlab for CI/CD processes.

Familiarity with Waterfall and Agile methodologies.

Hands-on experience with testing storage tools like S3 or HDFS.

Proficiency with industry-standard defect and test case management tools.