Data Engineer
1 week ago
Location: Dallas, TX
Duration: 12 Months +
Hybrid - 3 Days on Site
Interview Mode: In-Person (No Exception)
NOTE: W2 Candidates Preferred - C2C on case by case basis with (LinkedIn Refernce).
Job Description:
Extensive experience as Data Engineer with Python Language and Cloud Technologies (AWS preferably).
Experience in Automating ETL process/Pipelines and AWS Data & Infrastructure with Python.
Extensive experience with AWS components like S3, Athena, EMR, Glue, Redshift, Kinesis and SageMaker.
Extensive Experience with SQL/Unix/Linux scripting.
Developing/testing Experience on Cloud/On Prem ETL Technologies (Ab Initio, AWS Glue, Informatica, Alteryx).
Experience in Data migration from Onprem to Cloud is Plus.
Experienced in large-scale application development testing – Cloud/ On Prem Data warehouse, Data Lake, Data Science.
Extensive experience in DevOps/Data Ops space.
Having experience in Data Science platforms like SageMaker/Machine Learning Studio/ H2O is plus.
Nice to Have Skills
• Experience using Jenkins and Gitlab
• Experience using both Waterfall and Agile methodologies.
• Experience in testing storage tools like S3, HDFS
• Experience with one or more industry-standard defect or Test Case management Tools
Soft Skills
• Great communication skills (regularly interacts with cross functional team members)
• Who takes Ownership to complete the tasks on time with less supervision
• Guiding developers and automation teams in case of an issue
• Monitoring, reviewing, and managing technical operations
• Effective problem-solving expertise, trouble shooting, code debugging, and root cause analysis skills.
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