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

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 Client’s most significant customers facing teams?
•           Do you want to build a cutting-edge 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, self-driven, analytical, and strategic Sr. Data Engineer.
•           In this role, you will be working in one of the world's 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 self-service support for customers
•           AWS technologies such as Redshift, RDS, S3, EMR, Glue, ADP, Hive, Kinesis, SNS/SQS, and NAWS supported streaming services