Sr. SQL/ ETL Developer
job summary: Job Description:
Data Engineers deliver quality reporting and data intelligence solutions to the organization and assist client teams with drawing insights to make informed, data driven decisions. Data Engineers (DEs) are engaged in all phases of the data management lifecycle; gather and analyze requirements, collect, process, store and secure, use, share and communicate, archive, reuse and repurpose data. Identify and manage existing and emerging risks that stem from business activities and ensure these risks are effectively identified and escalated to be measured, monitored and controlled.
location: Phoenix, Arizona
job type: Contract
salary: $65 - 74 per hour
work hours: 8am to 4pm
Identifies and manages existing and emerging risks that stem from business activities and the job role.
Ensures risks associated with business activities are effectively identified, measured, monitored, and controlled.
Follows written risk and compliance policies and procedures for business activities.
Design and implement complex technical solutions.
Design, build, manage and optimize data pipelines for data structures encompassing data transformation, data models, schemas, metadata, data quality, and workload management.
Participate in daily standups and lead design reviews.
Breakdown business features into technical stories and approaches.
Analyze data and enable machine learning.
Create proof of concepts and prototypes.
Implement efficient defect management, root cause analysis, and resolution processes.
Assist in setting technical direction for the team.
Mentor and coach junior engineers.
Bachelor's degree in related field of study,
4 additional years of related experience beyond the minimum required.
6 years of data management experience implementing data solutions demonstrating depth of technical understanding within a specific discipline(s)/technology(s)
Deep knowledge of a technology or product line.
We're looking for candidates who have advanced SQL skills that have delivered DataMart solutions, are able to problem solve and dive into situations that may be unclear to help determine the best solution, and worked with business customers to help validation/define business requirements to support ETL development.
Data warehousing knowledge as a whole, with high focus in SQL. Specifically around ELT type processing, in-database transformation and processing.
We are leveraging tools such as Informatica, Snowflake, and Netezza, but the tool skillset knowledge is more helpful and not specifically required as long as they're strong in the above.
- Experience level: Experienced
- Minimum 6 years of experience
- Education: Bachelors
- data engineering (6 years of experience is required)
- Data Warehouse
Equal Opportunity Employer: Race, Color, Religion, Sex, Sexual Orientation, Gender Identity, National Origin, Age, Genetic Information, Disability, Protected Veteran Status, or any other legally protected group status.