- +2
- +12
- Texas, United States
À propos
Pay rate range -
$70/hr. to $75/hr. on W2
Responsibilities
- As a Data Engineer you will be working in one of the world's largest and most complex data warehouse environments.
- You will be developing and supporting the analytic technologies that give our customers timely, flexible and structured access to their data.
- You will be responsible for designing and implementing a platform using third-party and in-house reporting tools, modeling metadata, building reports and dashboards in Oracle BI Enterprise Edition (OBIEE).
- You will work with business customers in understanding the business requirements and implementing solutions to support analytical and reporting needs.
Required Skills & Experience - 3+ years of relevant work experience in Big Data engineering, ETL pipeline development, Data Modeling, and Data Architecture
- 3+ years of hands-on experience in writing complex, highly-optimized SQL queries across large data sets
- Experience with coding languages like Python/Java/Scala
- Excellent written and spoken communication skills
- A good candidate has strong analytical skills and enjoys working with large complex data sets
Preferred Proficiency in the DevOps style of software deployment (infrastructure-as-code) Proficiency with AWS database/ETL tools including Lambda, Glue, Redshift, DynamoDB Proficiency with AWS technologies including SNS, SQS, SES, Route 53, Cloudwatch, VPC
2 Years of AWS experience The candidate will have to do Lots of data modeling
Compétences idéales
- Big Data
- ETL
- Data Modeling
- SQL
- Python
- Java
- Scala
- DevOps
- AWS
- Lambda
- Redshift
- DynamoDB
Expérience professionnelle
- Data Engineer
- Data Infrastructure
Compétences linguistiques
- English