Pay rate range - $60/hr. to $65/hr.
100% Onsite
Must Have
High SQL fluence and Data Analysis
High python knowledge
Strong ETL experience
Nice to have
AWS Stack Experience
Experience with data modeling, warehousing
Developing and operating large-scale data structures for business intelligence analytics using data modeling experience
Bachelor’s degree
Job Description:
Team is seeking a passionate, innovative, and results oriented Data Engineer to design and build scalable solutions that empower our field teams. You'll bring industry best practices and standards to solve complex business problems, define meaningful metrics, and create systems that operate reliably at scale.
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 in-house reporting tools, modeling metadata, building reports and dashboards in Quick Suite.
* 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 data engineering experience
- 3 + years of Experience with data modeling, warehousing and building ETL pipelines
- 3+ years of developing and operating large-scale data structures for business intelligence analytics using data modeling experience
Preferred qualifications
- Deep SQL fluency
- Deep Python (or equivalent) fluency for orchestration, data quality automation, and pipeline tooling beyond SQL
- Experience with AWS technologies like Redshift, S3, AWS Glue, EMR, Kinesis, FireHose, Lambda, and IAM roles and permissions
- Experience with non-relational databases / data stores (object storage, document or key-value stores, graph databases, column-family databases)