Data Engineer
Job ID : 28413
Job Title : Data Engineer
Location : Houston, TX
Comapny Name : Qtechus
Job Type : Full-Time, contract
Industry : Computer/Software
Salary : $65000 - $70000 per year
Work Authorization : ["OPT"]
No. of Positions : I have ongoing need to fill this role
Posted on : 04-11-2022
Required Skills : Python, AWS, Azure
Benefits : None of These
Job Description :
Role: Data Engineer
Location: Dallas, Tx
Job Description:
Required:
- Bachelor's degree required
- Must be legally authorized to work in the United States without the need for employer sponsorship, now or at any time in the future
- 1+ years of experience with extract, transform, and load (ETL) methods and tools
- 1+ years of experience with data modeling, data warehousing, and building ETL pipelines
- 1+ years of experience with SQL queries and JSON objects
- 1+ years of experience with both SQL and NoSQL databases, including PostgreSQL and MongoDB
Preferred:
- Familiarity with microservice architectures
- Interest in event streaming architectures, such as Apache Kafka
- Prior professional services or federal consulting experience
- Knowledge of data mining, machine learning, data visualization and statistical modeling
- Ability to thrive in a fast-paced work environment with multiple stakeholders
- Creativity and innovation - desire to learn and apply new technologies, products, and libraries
Company Details :
Company Information hidden please Login to view details
Data Engineer
Comapny Name :MSIT
Job Location :Houston, TX
Job Description:
Job description: Design, develop, and test data pipelines and solutions using AWS and Azure cloud services, such as S3, Lambda, Glue, Kinesis, Redshift, Databrick
View Job
Azure Data Engineer
Comapny Name :wipros
Job Location :Houston, TX
Job Description:
Responsiblties: Design, develop, and deploy data solutions using Microsoft Azure cloud platform. Develop and maintain automated data ingestion, transfo
View Job
Data Engineer
Comapny Name :wipros
Job Location :Houston, TX
Job Description:
Responsibilities: Develop and maintain high volume streaming pipelines as well as batch processes. Maintain and improve existing framework to support d
View Job