Requisition Number: 212590

Job Description

The IT Data Engineer-Level 3 is responsible for working on data engineering pipelines, data modelling, analytics and supporting complex issues. Specifically, data engineer will work to identify data acquisition strategies, design, and develop programs to acquire data into Data Lake/Data Warehouse from transactional SAP ERP systems like ECC, CRM, EWM, EM, BW, Hybris using various tools like HANA SDI & SDA Adaptors, SLT, file, OData and other 3rd party adaptors as applicable; work with data team to efficiently use Google Cloud platform to analyze data, build data models and generate reports/visualizations; design the flow for data scientists to build the views for ML use cases and for Data Analysts to build reports and dashboards in visualization tools like Looker or Power BI; identify, design and develop database artifacts like Tables, Calculation Views, SQL Script Procedures to stage large amounts of input and output data in Data Lake; participate in software development like cycle (SDLC) tasks like status reporting, deign reviews and approvals, detailed functional and technical documentation, migration of artifacts to production.

Skills/Qualifications

Required:

Bachelor's degree in Statistics, Mathematics, Data Science, Engineering or related quantitative field
Minimum 5 years of experience in Information Technology, including experience with SQL, Python, Big Query, Cloud Composer, Cloud Pub/Sub
Minimum 5 years of experience in building and operationalizing large-scale enterprise data solutions and applications, with the ability to build production data pipelines from data ingestion to consumption within a hybrid big data architecture
Minimum 4 years of experience working with CI/CD pipelines using code repositories like Gitlab, BigHub, etc. and deployment tools like Cloud Builder or Gitlab Runners
Minimum 3 years of combined experience in PySpark, Cloud Dataproc, Cloud Dataflow, Terraform, Hadoop, Hive, Apache Spark, Cloud Spanner, Cloud SQL and Data Fusion
Minimum 1 year of experience in Reporting, Data Analytics and building data pipelines
Experience in any cloud platforms such as GCP, Azure, AWS, with preference to GCP
Advanced understanding of technical environment, including technical area development and architecture of SAP

Preferred:

Master's degree in Statistics, Mathematics, Data Science, Engineering or related quantitative field with 3 years of experience in Information Technology, including exposure to:
- SQL, Python, Big Query, Cloud Composer, Cloud Pub/Sub
- Reporting and data analytics, such as building and operationalizing large-scale enterprise data solutions and applications, building production data pipelines from data ingestion to consumption within a hybrid big data architecture
- Working with CI/CD pipelines using code repositories like Gitlab, GitHub and deployment tools like Cloud Build or Gitlab Runners
- Experience in any cloud platforms such as GCP, Azure, AWS etc. with preference to GCP
- Understanding of technical environment, including technical area development and architecture of SAP
- Experience in medallion architecture with Google Cortex framework
- Experience with containerization technologies like Docker or Kubernetes
- Experience in PySpark, Cloud Dataproc, Cloud Dataflow, Terraform, Hadoop, Hive, Apache Spark, Cloud Spanner, Cloud SQL and Data Fusion

Benefits
Cintas offers comprehensive and competitive medical, dental and vision benefits, with premiums below the national average. We offer flexibility with four different medical plan options; one plan is offered at zero cost.

Additionally, our employee-partners enjoy:

Competitive Pay
401(k) with Company Match/Profit Sharing/Employee Stock Ownership Plan (ESOP)
Disability, Life and AD&D Insurance, 100% Company Paid
Paid Time Off and Holidays
Skills Development, Training and Career Advancement Opportunities

Company Information
Cintas Corporation helps more than one million businesses of all types and sizes get Ready™ to open their doors with confidence every day by providing products and services that help keep their customers’ facilities and employees clean, safe, and looking their best. With offerings including uniforms, mats, mops, towels, restroom supplies, workplace water services, first aid and safety products, eye-wash stations, safety training, fire extinguishers, sprinkler systems and alarm service, Cintas helps customers get Ready for the Workday®. Headquartered in the U.S., Cincinnati, OH, Cintas is a publicly held Fortune 500 company traded over the Nasdaq Global Select Market under the symbol CTAS and is a component of both the Standard & Poor’s 500 Index and Nasdaq-100 Index.

Cintas Corporation is proud to be an Equal Opportunity Employer. Qualified applicants will receive consideration for employment without regard to race, color, religion, sex (including pregnancy), national origin, age, genetic information, disability, protected veteran status, or any other characteristic or category protected by local, state, or federal law.

This job posting will remain open for at least five (5) days.

Job Category: Information Technology
Organization: Corporate
Employee Status: Regular
Schedule: Full Time
Shift: 1st Shift

Cintas

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IT Data Engineer - Level 3