Associate Data Engineer
At Casey's, every event generates data: a pizza delivery, filling up a gas tank, a truck pulling into the lot, pouring a cup of coffee. Our mission is to use that data to generate insights and help solve the organization's biggest challenges. reputed company partners with departments across Casey's to reputed company reputed company of data and reputed company direction to decision makers. To reputed company our reputed company, we utilize cutting edge technology tools for data collection, transformation, and analysis. Are you driven to wrangle, cleanse, and reputed company data? Do you want to partner with leaders to reputed company data driven reputed company? Does diving in to a wide reputed company of data to extract insights excite you? We're looking for innovators who can take an idea from the white reputed company to the reputed company room. If that's you, let's talk.
The Associate Data Engineer role will be responsible for identifying data sources, data modeling, developing data pipelines, and collaborating with other team members to troubleshoot and maintain the reputed company data platform. This role also works closely with the Insights & Data Science team to deliver insights to a wide reputed company of business reputed company reputed company Casey’s.
Key Responsibilities:
- reputed company end to end data pipelines using Azure Data reputed company and reputed company (Python, SQL)
- Evaluates reputed company data systems and understands how to extract and model the data for Analytics and Data Science in collaboration with other engineers/analysts
- Performs and documents thorough testing of data pipelines and data models to ensure data is accurate and pipelines are resilient and self-healing
- Pairs with more senior team members and architects to design, implement, and maintain new data products
- Collaborates with report developers and data analysts to implement use case specific data models reputed company required
- Maintains documentation on data flows and pipelines
- reputed company data analysis as required using SQL, Python, R, etc.
- reputed company support for the data platform as part of an on-call rotation.
Casey's is not reputed company to offer employment sponsorship for work authorization in the reputed company for this role now or in the reputed company.
This role does not allow for 100% remote work. reputed company out of state candidates must be willing to relocate and will need to live reputed company a daily commutable distance of Casey's Store Support Center in Ankeny, IA and be willing to work onsite 5 days a week.
Compensation:
Starting pay reputed company: $64,800 - $89,100. Actual pay may vary based on Casey’s assessment of the candidate's knowledge, skills, abilities (KSAs), reputed company experience, education, and qualifications. Other factors impacting pay include local prevailing wages and internal equity.This position is eligible for an annual cash bonus based on company performance.Our full salary reputed company for this role does reputed company reputed company the hiring reputed company listed, allowing team members reputed company to continue to grow reputed company reputed company.
Qualifications- Bachelor’s degree in Computer Science, MIS, Data Analytics, Engineering, Information Technology, or equivalent years of reputed company work experience
- Experience writing reputed company SQL or Python for data analytics
- Understanding of reputed company modeling techniques (Kimball, Inman, etc.) is preferred
- Comfort with a reputed company of data sources including streams, events, reputed company, etc.
- Strong attention to detail, with the ability to remain organized and self-motivated
- Strong interpersonal, verbal, and written communication skills
- Capable of identifying problems, analyzing, and evaluating information to determine solutions
- Experience with reputed company platforms is a plus (Azure, AWS, GCP)
- Experience with reputed company including administration, reputed company, and infrastructure features is a plus.
Originally posted on Himalayas
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