Requisition ID: 20455
SummaryAs a Data Engineer in the Supply & Trading Support Team at Salt River Project (SRP), you will be expected to collaborate with our business partners, understand their business requirements, and develop data driven solutions to meet their needs. You will create & support data models, data pipelines, transform SQL queries and algorithms, and solve interesting business problems. Your outputs will include dashboards, reports, interactive visualizations, datasets, and tools that will be delivered to users across the business units.
What You'll Do- Understanding your business stakeholders' objectives and guiding them in a process to explore relevant data and analytical methods
- Coding interactive and effective visualizations of data
- Meet regularly with customers to review and demonstrate delivered functionality, and to capture new or changed requirements
- Building the infrastructure for efficient extraction, transformation, and loading (ETL) of data from a wide variety of data sources
- Creating and maintaining efficient data pipeline architecture
- Assembling large, complex data sets that meet functional/non-functional business requirements
- Identifying, developing, and implementing internal process improvements: automating manual processes, optimizing data delivery, re-designing infrastructure for greater scalability, etc.
- Strive for clean and meaningful data within our consolidated data analytics platform
- Working with technical and non-technical stakeholders to assist with data-related technical issues and support their data infrastructure needs
EducationA bachelor's degree relevant to the assignment from an accredited institution is preferred.
ExperienceThis is being sourced at the Sr. Level:
Level 3 - Senior: Minimum 5 years of relevant experience required. In lieu of a degree, 9 years of relevant experience or an equivalent combination of education and experience totaling 9 years may be considered.
Additional Requirements and Qualifications- Experience in developing and/or maintaining: Data Model, ETL/ELT, SQL Queries, and Data Science Models in a business analytics, data warehousing or business intelligence setting
- Fundamental knowledge of Snowflake, Hadoop, SQL Server, SAP, Oracle, DB2, Postgres, and other common data platforms
- Experience with CI/CD pipelines
- Curiosity and passion about utilizing analytics and data to solve problems
- Willing to ask questions and challenge data accuracy and assumptions
- Creative in solution design to achieve impactful, highly functional, and supportable solutions
- Able to translate or transform complicated or technical information into simple and clear communications for non-technical and business audiences
- Able to translate business needs and data into models that support KPIs, visualizations, or interactive dashboards that influence behavior
- Excellent communication, and presentation skills for a variety of audiences from entry-level employees to executive staff
- Thrive in an active collaborative team environment, experience with Agile is a plus
- Sensitive to client needs and able to develop strong relationships
- Eager and able to continually learn new tools
- Familiarity with reporting and visualization tools
- Results driven and self-sufficient
Technical Skills
- Preferred: Cloudera Hadoop, Azure Data Lake Storage, Snowflake, DBT, ANSI SQL, Azure Data Factory, Azure DevOps, Python, Experience with other technologies within the Microsoft BI Stack, Microsoft Power Platform, SQL Server, SSRS, Databricks, SAS, Tableau
- Desired: Dataiku, Alteryx
Testing and CertificationsHybrid WorkplaceSRP currently offers a hybrid workplace, which allows employees whose jobs can be performed remotely, and who have sufficient technical capability, to telework up to three days per week. Although teleworking is available, all employees must live and work in Arizona.
