Role: Data Engineer with QA
Location: Dallas TX
Job type: Hybrid (2 Days Onsite)
No of Positions: 5
Interview Format: In-person interviews required
We are seeking a Data Engineer with extensive experience in Python and Cloud Technologies (preferably AWS).
- Experience in automating ETL processes/pipelines and AWS data infrastructure using Python.
- Proficient with AWS components like S3, Athena, EMR, Glue, Redshift, Kinesis, and SageMaker.
- Expertise in SQL, Unix/Linux scripting, and developing/testing on Cloud and On-Prem ETL technologies (Ab Initio, AWS Glue, Informatica, Alteryx). Experience in data migration from on-premise to cloud is a plus.
- Extensive experience in DevOps/DataOps environments.
- Familiarity with SageMaker, Machine Learning Studio, and H2O is an added advantage.
- Well-versed in the strategies for Cloud/On-Prem ETL testing.
- Skilled in interpreting and analyzing data from multiple source systems for data integration and reporting.
- Knowledgeable in data modeling and data warehousing concepts with a focus on Cloud/On-Prem ETL environments.
- Executes data analytics and data integration testing within time and budget constraints.
Nice to have:
- Experience using Jenkins and GitLab.
- Familiar with both Waterfall and Agile methodologies.
- Experience in testing storage tools like S3 and HDFS.
Note: We are actively seeking Data Engineering (Python) professionals, with testing experience being a plus, but the primary focus is on Data Engineer skills.