Data Engineernbsp

Job Description

Job Title: Data Engineer
Location: Bellevue WA 98004 ( Need local to WA )
Work Type: Onsite
On W2


Note: Need to take a test assessment on Basic SQL and Python before submitting the profile

Job Description:
Are you interested in guiding key business decisions around one of Clients most significant customers facing teams
Do you want to build a cuttingedge highly scalable analytics big data platform using AWS technologies such as Redshift RDS S3 EMR Glue ADP Hive Kinesis SNS/SQS and NAWS supported streaming services
Do you want to collaborate with Business Intelligence Engineers (BIE) and Data Scientists (DS) to build ML/LLM models to support our major customer facing features and initiatives to drive team efficiency
We are seeking an experienced selfdriven analytical and strategic Sr. Data Engineer.
In this role you will be working in one of the worlds largest and most complex data warehouse environments.
You should be passionate about working with huge datasets and be someone who loves to bring data together to answer business questions.
You should have deep expertise in creation and management of data lake and the proven ability to guide continuous enhancement of data architecture by identifying efficiency gaining solutions and leveraging evolving ne technologies.
In this role you will have the opportunity to display your skills in the following areas:
Design implement and support an analytical data infrastructure providing ad hoc access to large datasets and computing power
Managing AWS resources including EC2 RDS Redshift etc
Interface with other technology teams to extract transform and load data from a wide variety of data sources using SQL and AWS big data technologies
Explore and learn the latest AWS technologies to provide new capabilities and increase efficiency
Collaborate with BIEs to recognize and help adopt best practices in reporting and analysis: data integrity test design analysis validation and documentation
Collaborate with DS to implement advanced analytics algorithms that exploit our rich data sets for statistical analysis prediction clustering and machine learning
Help continually improve ongoing reporting and analysis processes automating or simplifying selfservice support for customers
AWS technologies such as Redshift RDS S3 EMR Glue ADP Hive Kinesis SNS/SQS and NAWS supported streaming services

AWS , SQL , ML , PYTHON